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Data Scientist At Abound London jobs in London
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Entry Level
Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driven decisions are at the forefront of our strategy.
At Abound, we believe in the power of data to change the world. Our mission is to empower businesses with deep insights and innovative solutions that drive growth and efficiency. Join our dynamic team and be part of a culture that values creativity, collaboration, and continuous learning.
Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driven decisions are at the forefront of our strategy.
About Abound Abound is reshaping consumer lending in the UK and beyond. Using AI and Open Banking data, the company offers fair, accessible personal finance options to a wider range of people. Instead of relying only on credit scores, Abound reviews each customer’s full financial picture, including spending habits and repayment ability, to make lending decisions. So far, Abound has issued over £1.3bn in loans directly to consumers. Credit performance stands out: for every 10 defaults expected by the industry, Abound sees only 3. The company reached profitability just 2.5 years after launch and is now recognized among Europe’s fastest-growing fintechs by Sifted and CNBC. With support from top investors, including Citi, GSR Ventures, and Deutsche Bank, Abound has secured over £2bn in backing. The team is expanding into new markets and developing new products. Abound values people who want to learn, take initiative, and grow as the company grows. Role Overview: Financial Accountant (London) The Financial Accountant will help shape and strengthen Abound’s finance operations. This is a hands-on role at the center of a growing fintech, managing essential accounting processes and improving systems to support rapid growth while maintaining strong controls. The position works closely with teams across the business to deliver accurate, scalable financial reporting that supports sound decision-making. This role is a key part of the Finance Team. For someone eager to develop, it offers a clear path to broaden skills, take on more responsibility, and move into senior or strategic positions at Abound. At Abound, finance is about more than looking back, it’s about enabling better decisions for the future.
Abound is changing how consumer lending works in the UK and beyond. By combining AI with Open Banking data, the company offers personal finance options that go beyond traditional credit scores. Each applicant is evaluated based on real financial habits and repayment history, aiming for fairer access to credit. Since launch, Abound has issued over £1.3bn in loans and kept default rates well below industry averages. Profitability came within 2.5 years. With more than £2bn in investment from Citi, GSR Ventures, Deutsche Bank, and others, Abound is recognized as one of Europe's fastest-growing fintechs. As the company expands into new markets and products, it seeks people eager to learn, take ownership, and grow alongside the team. Role overview The Data Engineer will join the Platform team in London, focusing on the development and improvement of Abound’s Data Lake. This position acts as a connector between Platform and Data Science, maintaining the infrastructure and data pipelines that drive decision-making across the business. The role is individual contributor level, offering autonomy and the chance to make a measurable impact. Main focus for the first 6–12 months Upgrade the Data Lake into a scalable, high-performance platform for analytics and data science. Migrate production workloads, including model calibration, ad-hoc analytics, and reporting, into the Data Lake. Redesign data structures to improve query speed, lower AWS costs, and ensure timely data availability. Collaborate closely with the Data Science team to support rapid experimentation and delivery through reliable data systems. Technology stack Cloud & Compute: AWS, ECS Fargate, AWS Lambda Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg Languages & Infrastructure as Code: Python, Spark, SQL Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab
About AboundAt Abound, we are revolutionizing consumer lending within the UK and beyond. Through cutting-edge AI technology and Open Banking data, we empower more individuals to access fair and affordable personal finance. Unlike conventional lenders that primarily focus on credit scores, we assess the complete financial landscape—considering spending habits and repayment capabilities—to gain a profound and accurate insight into each customer's unique financial profile.Our approach has proven successful on a large scale. We have successfully disbursed over £1.3bn in loans directly to customers while achieving exceptional credit performance. For every 10 defaults anticipated by the industry, we only experience 3. Remarkably, we attained profitability just 2.5 years post-launch.With over £2bn+ in backing from leading investors including Citi, GSR Ventures, and Deutsche Bank, Abound is recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we venture into new markets and expand our product lines, we seek driven individuals eager to learn quickly, take initiative, and grow alongside us.About the RoleWe are committed to enhancing access to affordable credit by launching innovative credit products that truly make a difference. Our rapid product launches often involve collaboration with other leading fintech and consumer/e-commerce companies to provide affordable credit at pivotal moments in the customer journey. We thrive in a dynamic and highly regulated environment where products must function seamlessly from day one—not only from a technical standpoint but also in terms of operational efficiency for our customers.As a Product Associate, you will be integral to ensuring that our products are fully operational and ready for launch at scale. While collaborating closely with Product Managers on product discovery and delivery, your key impact will stem from supporting Operations teams, guaranteeing that customer support, collections, and complaints teams can effectively assist customers from the outset.This role is tailored for top-tier STEM or Economics graduates who aspire to deepen their understanding of real-world product functionality, embrace early responsibility, and advance towards a Product Manager position in a rapidly growing, industry-leading fintech.What You’ll Be DoingLaunch Readiness & Operational SupportCollaborate closely with Operations teams (customer support, collections, complaints) to ensure that new products, features, or customer journeys receive comprehensive support at launch.
About AboundAt abound, we are revolutionizing the landscape of consumer lending across the UK and beyond. By leveraging cutting-edge AI and Open Banking data, we strive to make fair and affordable personal finance accessible to a wider audience. Unlike traditional lenders who heavily depend on credit scores, we analyze the complete financial picture of our customers—considering their spending patterns and repayment capabilities—to build a nuanced understanding of their unique financial situations.Our approach has proven successful at scale. We have facilitated over £1.3 billion in loans directly to customers while achieving exceptional credit performance—for every 10 defaults anticipated by the industry, we experience only 3. Remarkably, we reached profitability just 2.5 years post-launch.With backing from over £2 billion from prestigious investors including Citi, GSR Ventures, and Deutsche Bank, we are recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we expand into new markets and product lines, we are on the lookout for driven individuals eager to learn, take ownership, and grow alongside us.We are seeking a talented Senior Python Engineer to join our engineering team. In this role, you will collaborate closely with our Finance team to design and implement automation solutions that enhance our core financial operations. You will be responsible for translating business needs into robust, maintainable systems that increase accuracy and efficiency across critical workflows.This position requires a candidate who blends strong technical acumen with a desire to understand the business intricacies. You will be empowered to independently scope and execute changes, manage stakeholder expectations, and ensure every enhancement is durable. Your contributions will play a vital role in maintaining the smooth and scalable operation of our financial processes.We value engineers who take initiative, enjoy tackling complex challenges, and excel at clarifying ambiguous requirements. You will thrive in our environment if you are motivated by creating systems that deliver tangible business impact, can articulate technical concepts to non-technical partners, and take pride in producing high-quality, well-designed code.At abound, you will immerse yourself in a culture that champions autonomy, curiosity, and continuous improvement. You will engage with a modern Python-based tech stack, gain in-depth insights into how financial operations function in a rapidly growing lending business, and have the opportunity to enact significant technical changes in collaboration with experienced stakeholders.
Trainline
Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!
Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.
Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.
abound
About the Role abound is hiring an Underwriting Team Lead in London. This role guides underwriting practices and manages a skilled team. The Team Lead oversees daily underwriting operations, maintains compliance with industry standards, and encourages a cooperative approach to achieve team goals.
Join ravio as a Senior Data Scientist and lead innovative projects to harness the potential of big data. You will work closely with cross-functional teams to extract valuable insights, develop predictive models, and enhance data-driven decision-making processes. This role offers an exciting opportunity to impact our data strategy and drive meaningful change.
Join Entain, a global leader in sports betting and gaming entertainment, as a Senior Data Scientist. In this pivotal role, you will leverage cutting-edge analytics and machine learning techniques to drive data-driven decisions that enhance our customer experience and optimize business operations.Your expertise will be critical in developing predictive models, conducting complex data analyses, and collaborating with cross-functional teams to implement data strategies that support our ambitious growth objectives.
Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the defining technology of our era. With a proven track record, we have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our impact here.We prioritize genuine innovation over fleeting trends. Our commitment to responsible AI enables us to deliver solutions that drive significant results. Our extensive expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business continues to expand rapidly, we seek individuals who possess intellectual curiosity and a passion for leveraging technology to create a lasting positive impact.Join us in harnessing the power of AI to redefine its applications and make a tangible difference.About Our TeamThe Frontier TM product represents our bold ambition to create an enterprise-grade platform that integrates decision intelligence and AI Agents, optimizing critical processes in large organizations. You will tackle complex challenges within the real economy, focusing especially on healthcare and life sciences.Your RoleAs a Senior Data Scientist on the Frontier team, you will shape the future of our Decision Intelligence Platform by developing AI-powered digital twins that enhance organizational decision-making. This entrepreneurial role involves solving intricate problems while enabling enterprise users to leverage state-of-the-art AI technologies. You will combine scientific rigor with a business-oriented mindset to advance our AI Agent and Decision Hub capabilities.Key Responsibilities:Designing and Building: Create agents for high-stakes environments, ensuring that outputs meet rigorous validation standards.Data Analysis: Conduct exploratory data analysis, model development, validation, and performance monitoring.Leadership: Guide data science initiatives within cross-functional delivery teams, collaborating with engineers, designers, and business stakeholders.
Why Join Faculty?Founded in 2014, Faculty believes that AI is the defining technology of our era. We have successfully partnered with over 350 global clients to enhance performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype, focusing on creating and implementing responsible AI that truly makes a difference. Our extensive expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we are eager to recruit individuals who are intellectually curious and passionate about building a positive legacy through technology.Join us in leveraging AI’s transformative power to revolutionize decision-making processes in critical fields.About the TeamThe Faculty Frontier™ product represents our ambitious goal of developing the first enterprise-grade platform that integrates decision intelligence with AI agents to optimize key processes in large organizations. You will tackle complex challenges with a focus on healthcare and life sciences.Role OverviewAs a Senior Data Scientist, you will play a pivotal role in shaping our Frontier Decision Intelligence Platform. You will lead the design and implementation of AI-powered digital twins that redefine organizational decision-making. Working within cross-functional teams, you will blend technical prowess with commercial insight to address intricate customer challenges. This is also an opportunity to mentor emerging talent while delivering impactful, production-grade AI solutions in a dynamic and entrepreneurial setting.
Verve Group
Who We Are Dataseat, a proud member of the Verve Group since July 2022, was founded by industry pioneers David Philippson and Dr. Paul Hayton. Our mission is to revolutionize how app marketers manage their programmatic media campaigns. We offer a cutting-edge Bidder or DSP as a service, empowering app marketers to take control of user acquisition and re-engagement through in-house programmatic media buying. Our comprehensive analytics provide clients with crucial insights on fraud, attribution accuracy, and incrementality, supporting marketers in building their in-house business case and optimizing their media strategy. Discover more at www.dataseat.com.
Join Our Data & Science OrganizationAt Deliveroo, we pride ourselves on having a premier data science team dedicated to enhancing the quality of decision-making, both human and machine. Our data scientists collaborate across various departments, including product, business, and platform teams, employing techniques such as analysis, experimentation, causal inference, and machine learning. We leverage data to drive better decisions and enhance data literacy throughout the organization.As a Senior Data Scientist, you will be part of a vibrant community that fosters continuous learning through guest lectures, study groups, mentorship programs, and a rigorous technical review process. Our career paths allow data scientists to advance as technical leaders or people managers, depending on their aspirations.We welcome candidates from diverse backgrounds, all united by a commitment to excellence in data science. Our dedicated diversity committee ensures that we celebrate differences and promote inclusivity within our team.Your primary objective will be to maximize business impact in various areas, tackling critical questions such as:Which markets or cities should we expand into next?How can we encourage positive behavior among our riders?What effect do our exclusive restaurant deals have?How can we optimize our compensation policies to ensure customer satisfaction?What trade-offs should we consider between growth and profitability?How should our pricing strategy vary based on distance and market?What is the ideal selection and variety of restaurants in a specific area?How can we enhance our consumer app to better serve grocery shoppers?The work you do will have a tangible and direct influence on the company's bottom line.
About QuantiumQuantium stands as a global frontrunner in data science and artificial intelligence. Founded in Australia in 2002, our diverse team of over 1,200 professionals operates across 14 locations, combining innovative product and consulting services to empower businesses in extracting value from their data and analytics. We collaborate with some of the largest corporations worldwide to create a smarter, more efficient future.Our Quantium Health UK division specializes in delivering cutting-edge AI, analytics, and digital consulting services tailored for clients in Health, Life Sciences, and HealthTech. Our mission is to leverage data's potential to enhance health outcomes for patients and healthcare providers. As a Data Scientist, you will engage with clients to address their specific needs, develop impactful use cases, utilize advanced analytics and machine learning techniques, and spearhead AI product innovations. Join us during this exhilarating phase of growth and work on transformative projects that make a difference.
Utility Warehouse
About the Role Utility Warehouse is looking for a Data Scientist to join the team in London. This position focuses on analyzing large and varied data sets to uncover insights that support business decisions. The Data Scientist will work closely with colleagues from different departments to build predictive models, run experiments, and strengthen the company’s analytics practice. What You Will Do Analyze complex data sets to identify trends and patterns Develop and refine predictive models Collaborate with teams across the business to support data-driven projects Design and conduct experiments to test hypotheses and improve outcomes Help advance Utility Warehouse’s overall data analytics capabilities Location This role is based in London.
Checkout.com
About Checkout.com Checkout.com helps businesses process payments smoothly, supporting companies such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company operates behind the scenes to make global transactions efficient and reliable. Headquartered in London, Checkout.com maintains 19 offices on six continents. Teams focus on performance and innovation, aiming to shape the future of digital payments. Role Overview: Product Data Scientist The Product Data Scientist works within a cross-functional group that includes product managers, designers, and engineers. Insights from data help guide product strategy and define success metrics. Responsibilities include designing dashboards and reports, conducting analyses to spot opportunities for product improvements, and collaborating closely with the team to deliver on product goals. Data Analytics at Checkout.com supports business objectives at every level. In this role, a network of Analytics Engineers and Data Product Managers provides support to help drive growth and impact. Main Responsibilities Lead analytics for a product area: define, measure, and present key metrics, delivering insights that inform decisions. Use data to recommend updates to product roadmaps and identify opportunities for meaningful improvements. Work with Data Analytics and Software Engineering teams to ensure data is collected and modeled to support business insights. Promote a strong data culture within product teams, encouraging innovation and data literacy. Location This position is based in London.
Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 clients globally to revolutionize their operations through human-centered AI. Discover our tangible impacts here.We prioritize innovation over trends, developing and implementing responsible AI solutions that drive significant results. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defense sectors.As our company and reputation rapidly expand, we seek individuals who possess intellectual curiosity and aim to forge a positive technological legacy.Join us and explore the transformative potential of AI, empowered to realize its most impactful applications.About Our TeamOur Retail and Consumer specialists are committed to assisting clients in an industry undergoing rapid technological advancements and shifting consumer expectations. With over a decade of experience in Applied AI, we merge exceptional technical skills with delivery expertise, empowering businesses to adapt and excel.About the RoleIn the role of Lead Data Scientist, you will take on a crucial, entrepreneurial position as a technical expert who excels in navigating complexity and driving commercial impact. You will set the technical vision and guarantee the effective, scalable delivery of our most challenging, high-stakes projects. This role combines profound machine learning knowledge with strategic oversight, allowing you to define project roadmaps, manage technical risks, and architect dependable solutions. Your mission will be to spur innovation, mentor cross-functional teams, and actively influence our technical standards and long-term client relationships.Your Responsibilities:Establishing the technical direction for intricate, business-critical projects while adeptly managing trade-offs between speed, innovation, and reliability.Designing and executing robust, production-ready technical solutions.
CoreWeave, Inc.
CoreWeave is The Essential Cloud for AI™. Constructed for innovators by innovators, CoreWeave offers a cutting-edge platform filled with technology, tools, and expert teams that empower visionaries to create and expand AI solutions confidently. Renowned by top AI labs, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical knowledge to propel advancements and convert computational power into actionable capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We take pride in being a Living Wage accredited employer. What You’ll Do:The Monolith Data Science team is on a mission to develop a layered reliability platform that transitions CoreWeave from reactive troubleshooting to proactive reliability engineering. This platform encompasses telemetry ingestion, feature engineering, anomaly detection, failure prediction, and distributed straggler detection, alongside agentic root cause analysis. We work closely with Fleet, Infrastructure, and AI Platform teams to enhance cluster reliability, boost effective utilization (MFU), minimize MTTR, and safeguard uptime and revenue.About the role:As a Data Scientist, you will create sophisticated statistical models and machine learning strategies to maximize GPU utilization, optimize workload scheduling, and enhance infrastructure efficiency. You will design experiments, analyze extensive system telemetry data, and prototype predictive and optimization algorithms that directly influence production systems. This position marries rigorous research with tangible impact, transforming complex infrastructure data into quantifiable enhancements in performance and cost. You will work collaboratively across teams to convert research insights into applicable solutions.Who You Are:MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field8+ years (or equivalent research experience) in implementing statistical modeling or machine learning on large-scale datasetsStrong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)Proven experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)
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Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driven decisions are at the forefront of our strategy.
About Abound Abound is reshaping consumer lending in the UK and beyond. Using AI and Open Banking data, the company offers fair, accessible personal finance options to a wider range of people. Instead of relying only on credit scores, Abound reviews each customer’s full financial picture, including spending habits and repayment ability, to make lending decisions. So far, Abound has issued over £1.3bn in loans directly to consumers. Credit performance stands out: for every 10 defaults expected by the industry, Abound sees only 3. The company reached profitability just 2.5 years after launch and is now recognized among Europe’s fastest-growing fintechs by Sifted and CNBC. With support from top investors, including Citi, GSR Ventures, and Deutsche Bank, Abound has secured over £2bn in backing. The team is expanding into new markets and developing new products. Abound values people who want to learn, take initiative, and grow as the company grows. Role Overview: Financial Accountant (London) The Financial Accountant will help shape and strengthen Abound’s finance operations. This is a hands-on role at the center of a growing fintech, managing essential accounting processes and improving systems to support rapid growth while maintaining strong controls. The position works closely with teams across the business to deliver accurate, scalable financial reporting that supports sound decision-making. This role is a key part of the Finance Team. For someone eager to develop, it offers a clear path to broaden skills, take on more responsibility, and move into senior or strategic positions at Abound. At Abound, finance is about more than looking back, it’s about enabling better decisions for the future.
Abound is changing how consumer lending works in the UK and beyond. By combining AI with Open Banking data, the company offers personal finance options that go beyond traditional credit scores. Each applicant is evaluated based on real financial habits and repayment history, aiming for fairer access to credit. Since launch, Abound has issued over £1.3bn in loans and kept default rates well below industry averages. Profitability came within 2.5 years. With more than £2bn in investment from Citi, GSR Ventures, Deutsche Bank, and others, Abound is recognized as one of Europe's fastest-growing fintechs. As the company expands into new markets and products, it seeks people eager to learn, take ownership, and grow alongside the team. Role overview The Data Engineer will join the Platform team in London, focusing on the development and improvement of Abound’s Data Lake. This position acts as a connector between Platform and Data Science, maintaining the infrastructure and data pipelines that drive decision-making across the business. The role is individual contributor level, offering autonomy and the chance to make a measurable impact. Main focus for the first 6–12 months Upgrade the Data Lake into a scalable, high-performance platform for analytics and data science. Migrate production workloads, including model calibration, ad-hoc analytics, and reporting, into the Data Lake. Redesign data structures to improve query speed, lower AWS costs, and ensure timely data availability. Collaborate closely with the Data Science team to support rapid experimentation and delivery through reliable data systems. Technology stack Cloud & Compute: AWS, ECS Fargate, AWS Lambda Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg Languages & Infrastructure as Code: Python, Spark, SQL Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab
About AboundAt Abound, we are revolutionizing consumer lending within the UK and beyond. Through cutting-edge AI technology and Open Banking data, we empower more individuals to access fair and affordable personal finance. Unlike conventional lenders that primarily focus on credit scores, we assess the complete financial landscape—considering spending habits and repayment capabilities—to gain a profound and accurate insight into each customer's unique financial profile.Our approach has proven successful on a large scale. We have successfully disbursed over £1.3bn in loans directly to customers while achieving exceptional credit performance. For every 10 defaults anticipated by the industry, we only experience 3. Remarkably, we attained profitability just 2.5 years post-launch.With over £2bn+ in backing from leading investors including Citi, GSR Ventures, and Deutsche Bank, Abound is recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we venture into new markets and expand our product lines, we seek driven individuals eager to learn quickly, take initiative, and grow alongside us.About the RoleWe are committed to enhancing access to affordable credit by launching innovative credit products that truly make a difference. Our rapid product launches often involve collaboration with other leading fintech and consumer/e-commerce companies to provide affordable credit at pivotal moments in the customer journey. We thrive in a dynamic and highly regulated environment where products must function seamlessly from day one—not only from a technical standpoint but also in terms of operational efficiency for our customers.As a Product Associate, you will be integral to ensuring that our products are fully operational and ready for launch at scale. While collaborating closely with Product Managers on product discovery and delivery, your key impact will stem from supporting Operations teams, guaranteeing that customer support, collections, and complaints teams can effectively assist customers from the outset.This role is tailored for top-tier STEM or Economics graduates who aspire to deepen their understanding of real-world product functionality, embrace early responsibility, and advance towards a Product Manager position in a rapidly growing, industry-leading fintech.What You’ll Be DoingLaunch Readiness & Operational SupportCollaborate closely with Operations teams (customer support, collections, complaints) to ensure that new products, features, or customer journeys receive comprehensive support at launch.
About AboundAt abound, we are revolutionizing the landscape of consumer lending across the UK and beyond. By leveraging cutting-edge AI and Open Banking data, we strive to make fair and affordable personal finance accessible to a wider audience. Unlike traditional lenders who heavily depend on credit scores, we analyze the complete financial picture of our customers—considering their spending patterns and repayment capabilities—to build a nuanced understanding of their unique financial situations.Our approach has proven successful at scale. We have facilitated over £1.3 billion in loans directly to customers while achieving exceptional credit performance—for every 10 defaults anticipated by the industry, we experience only 3. Remarkably, we reached profitability just 2.5 years post-launch.With backing from over £2 billion from prestigious investors including Citi, GSR Ventures, and Deutsche Bank, we are recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we expand into new markets and product lines, we are on the lookout for driven individuals eager to learn, take ownership, and grow alongside us.We are seeking a talented Senior Python Engineer to join our engineering team. In this role, you will collaborate closely with our Finance team to design and implement automation solutions that enhance our core financial operations. You will be responsible for translating business needs into robust, maintainable systems that increase accuracy and efficiency across critical workflows.This position requires a candidate who blends strong technical acumen with a desire to understand the business intricacies. You will be empowered to independently scope and execute changes, manage stakeholder expectations, and ensure every enhancement is durable. Your contributions will play a vital role in maintaining the smooth and scalable operation of our financial processes.We value engineers who take initiative, enjoy tackling complex challenges, and excel at clarifying ambiguous requirements. You will thrive in our environment if you are motivated by creating systems that deliver tangible business impact, can articulate technical concepts to non-technical partners, and take pride in producing high-quality, well-designed code.At abound, you will immerse yourself in a culture that champions autonomy, curiosity, and continuous improvement. You will engage with a modern Python-based tech stack, gain in-depth insights into how financial operations function in a rapidly growing lending business, and have the opportunity to enact significant technical changes in collaboration with experienced stakeholders.
Trainline
Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!
Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.
Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.
abound
About the Role abound is hiring an Underwriting Team Lead in London. This role guides underwriting practices and manages a skilled team. The Team Lead oversees daily underwriting operations, maintains compliance with industry standards, and encourages a cooperative approach to achieve team goals.
Join ravio as a Senior Data Scientist and lead innovative projects to harness the potential of big data. You will work closely with cross-functional teams to extract valuable insights, develop predictive models, and enhance data-driven decision-making processes. This role offers an exciting opportunity to impact our data strategy and drive meaningful change.
Join Entain, a global leader in sports betting and gaming entertainment, as a Senior Data Scientist. In this pivotal role, you will leverage cutting-edge analytics and machine learning techniques to drive data-driven decisions that enhance our customer experience and optimize business operations.Your expertise will be critical in developing predictive models, conducting complex data analyses, and collaborating with cross-functional teams to implement data strategies that support our ambitious growth objectives.
Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the defining technology of our era. With a proven track record, we have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our impact here.We prioritize genuine innovation over fleeting trends. Our commitment to responsible AI enables us to deliver solutions that drive significant results. Our extensive expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business continues to expand rapidly, we seek individuals who possess intellectual curiosity and a passion for leveraging technology to create a lasting positive impact.Join us in harnessing the power of AI to redefine its applications and make a tangible difference.About Our TeamThe Frontier TM product represents our bold ambition to create an enterprise-grade platform that integrates decision intelligence and AI Agents, optimizing critical processes in large organizations. You will tackle complex challenges within the real economy, focusing especially on healthcare and life sciences.Your RoleAs a Senior Data Scientist on the Frontier team, you will shape the future of our Decision Intelligence Platform by developing AI-powered digital twins that enhance organizational decision-making. This entrepreneurial role involves solving intricate problems while enabling enterprise users to leverage state-of-the-art AI technologies. You will combine scientific rigor with a business-oriented mindset to advance our AI Agent and Decision Hub capabilities.Key Responsibilities:Designing and Building: Create agents for high-stakes environments, ensuring that outputs meet rigorous validation standards.Data Analysis: Conduct exploratory data analysis, model development, validation, and performance monitoring.Leadership: Guide data science initiatives within cross-functional delivery teams, collaborating with engineers, designers, and business stakeholders.
Why Join Faculty?Founded in 2014, Faculty believes that AI is the defining technology of our era. We have successfully partnered with over 350 global clients to enhance performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype, focusing on creating and implementing responsible AI that truly makes a difference. Our extensive expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we are eager to recruit individuals who are intellectually curious and passionate about building a positive legacy through technology.Join us in leveraging AI’s transformative power to revolutionize decision-making processes in critical fields.About the TeamThe Faculty Frontier™ product represents our ambitious goal of developing the first enterprise-grade platform that integrates decision intelligence with AI agents to optimize key processes in large organizations. You will tackle complex challenges with a focus on healthcare and life sciences.Role OverviewAs a Senior Data Scientist, you will play a pivotal role in shaping our Frontier Decision Intelligence Platform. You will lead the design and implementation of AI-powered digital twins that redefine organizational decision-making. Working within cross-functional teams, you will blend technical prowess with commercial insight to address intricate customer challenges. This is also an opportunity to mentor emerging talent while delivering impactful, production-grade AI solutions in a dynamic and entrepreneurial setting.
Verve Group
Who We Are Dataseat, a proud member of the Verve Group since July 2022, was founded by industry pioneers David Philippson and Dr. Paul Hayton. Our mission is to revolutionize how app marketers manage their programmatic media campaigns. We offer a cutting-edge Bidder or DSP as a service, empowering app marketers to take control of user acquisition and re-engagement through in-house programmatic media buying. Our comprehensive analytics provide clients with crucial insights on fraud, attribution accuracy, and incrementality, supporting marketers in building their in-house business case and optimizing their media strategy. Discover more at www.dataseat.com.
Join Our Data & Science OrganizationAt Deliveroo, we pride ourselves on having a premier data science team dedicated to enhancing the quality of decision-making, both human and machine. Our data scientists collaborate across various departments, including product, business, and platform teams, employing techniques such as analysis, experimentation, causal inference, and machine learning. We leverage data to drive better decisions and enhance data literacy throughout the organization.As a Senior Data Scientist, you will be part of a vibrant community that fosters continuous learning through guest lectures, study groups, mentorship programs, and a rigorous technical review process. Our career paths allow data scientists to advance as technical leaders or people managers, depending on their aspirations.We welcome candidates from diverse backgrounds, all united by a commitment to excellence in data science. Our dedicated diversity committee ensures that we celebrate differences and promote inclusivity within our team.Your primary objective will be to maximize business impact in various areas, tackling critical questions such as:Which markets or cities should we expand into next?How can we encourage positive behavior among our riders?What effect do our exclusive restaurant deals have?How can we optimize our compensation policies to ensure customer satisfaction?What trade-offs should we consider between growth and profitability?How should our pricing strategy vary based on distance and market?What is the ideal selection and variety of restaurants in a specific area?How can we enhance our consumer app to better serve grocery shoppers?The work you do will have a tangible and direct influence on the company's bottom line.
About QuantiumQuantium stands as a global frontrunner in data science and artificial intelligence. Founded in Australia in 2002, our diverse team of over 1,200 professionals operates across 14 locations, combining innovative product and consulting services to empower businesses in extracting value from their data and analytics. We collaborate with some of the largest corporations worldwide to create a smarter, more efficient future.Our Quantium Health UK division specializes in delivering cutting-edge AI, analytics, and digital consulting services tailored for clients in Health, Life Sciences, and HealthTech. Our mission is to leverage data's potential to enhance health outcomes for patients and healthcare providers. As a Data Scientist, you will engage with clients to address their specific needs, develop impactful use cases, utilize advanced analytics and machine learning techniques, and spearhead AI product innovations. Join us during this exhilarating phase of growth and work on transformative projects that make a difference.
Utility Warehouse
About the Role Utility Warehouse is looking for a Data Scientist to join the team in London. This position focuses on analyzing large and varied data sets to uncover insights that support business decisions. The Data Scientist will work closely with colleagues from different departments to build predictive models, run experiments, and strengthen the company’s analytics practice. What You Will Do Analyze complex data sets to identify trends and patterns Develop and refine predictive models Collaborate with teams across the business to support data-driven projects Design and conduct experiments to test hypotheses and improve outcomes Help advance Utility Warehouse’s overall data analytics capabilities Location This role is based in London.
Checkout.com
About Checkout.com Checkout.com helps businesses process payments smoothly, supporting companies such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company operates behind the scenes to make global transactions efficient and reliable. Headquartered in London, Checkout.com maintains 19 offices on six continents. Teams focus on performance and innovation, aiming to shape the future of digital payments. Role Overview: Product Data Scientist The Product Data Scientist works within a cross-functional group that includes product managers, designers, and engineers. Insights from data help guide product strategy and define success metrics. Responsibilities include designing dashboards and reports, conducting analyses to spot opportunities for product improvements, and collaborating closely with the team to deliver on product goals. Data Analytics at Checkout.com supports business objectives at every level. In this role, a network of Analytics Engineers and Data Product Managers provides support to help drive growth and impact. Main Responsibilities Lead analytics for a product area: define, measure, and present key metrics, delivering insights that inform decisions. Use data to recommend updates to product roadmaps and identify opportunities for meaningful improvements. Work with Data Analytics and Software Engineering teams to ensure data is collected and modeled to support business insights. Promote a strong data culture within product teams, encouraging innovation and data literacy. Location This position is based in London.
Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 clients globally to revolutionize their operations through human-centered AI. Discover our tangible impacts here.We prioritize innovation over trends, developing and implementing responsible AI solutions that drive significant results. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defense sectors.As our company and reputation rapidly expand, we seek individuals who possess intellectual curiosity and aim to forge a positive technological legacy.Join us and explore the transformative potential of AI, empowered to realize its most impactful applications.About Our TeamOur Retail and Consumer specialists are committed to assisting clients in an industry undergoing rapid technological advancements and shifting consumer expectations. With over a decade of experience in Applied AI, we merge exceptional technical skills with delivery expertise, empowering businesses to adapt and excel.About the RoleIn the role of Lead Data Scientist, you will take on a crucial, entrepreneurial position as a technical expert who excels in navigating complexity and driving commercial impact. You will set the technical vision and guarantee the effective, scalable delivery of our most challenging, high-stakes projects. This role combines profound machine learning knowledge with strategic oversight, allowing you to define project roadmaps, manage technical risks, and architect dependable solutions. Your mission will be to spur innovation, mentor cross-functional teams, and actively influence our technical standards and long-term client relationships.Your Responsibilities:Establishing the technical direction for intricate, business-critical projects while adeptly managing trade-offs between speed, innovation, and reliability.Designing and executing robust, production-ready technical solutions.
CoreWeave, Inc.
CoreWeave is The Essential Cloud for AI™. Constructed for innovators by innovators, CoreWeave offers a cutting-edge platform filled with technology, tools, and expert teams that empower visionaries to create and expand AI solutions confidently. Renowned by top AI labs, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical knowledge to propel advancements and convert computational power into actionable capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We take pride in being a Living Wage accredited employer. What You’ll Do:The Monolith Data Science team is on a mission to develop a layered reliability platform that transitions CoreWeave from reactive troubleshooting to proactive reliability engineering. This platform encompasses telemetry ingestion, feature engineering, anomaly detection, failure prediction, and distributed straggler detection, alongside agentic root cause analysis. We work closely with Fleet, Infrastructure, and AI Platform teams to enhance cluster reliability, boost effective utilization (MFU), minimize MTTR, and safeguard uptime and revenue.About the role:As a Data Scientist, you will create sophisticated statistical models and machine learning strategies to maximize GPU utilization, optimize workload scheduling, and enhance infrastructure efficiency. You will design experiments, analyze extensive system telemetry data, and prototype predictive and optimization algorithms that directly influence production systems. This position marries rigorous research with tangible impact, transforming complex infrastructure data into quantifiable enhancements in performance and cost. You will work collaboratively across teams to convert research insights into applicable solutions.Who You Are:MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field8+ years (or equivalent research experience) in implementing statistical modeling or machine learning on large-scale datasetsStrong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)Proven experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)
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