Forward Deployed Data Scientist at Braze | Paris

Join Shift Technology, a pioneering AI platform dedicated to revolutionizing the insurance industry. We harness generative, agentic, and predictive AI to enhance underwriting processes, optimize claims management, and mitigate fraud and risk, resulting in operational efficiency, superior customer experiences, and tangible business impact. Our solutions are trusted by leading insurers worldwide, delivering AI solutions that matter most at scale with proven effectiveness.Our culture is rooted in innovation, trust, and a commitment to transforming the insurance landscape through our cutting-edge SaaS platform. With team members from over 50 different countries and cultures, we are collectively shaping the future of insurance.Are you a recent graduate eager to embark on your first full-time Data Science career?As a Data Scientist at Shift, you will engage with a diverse array of projects, contributing significantly to the design and advancement of our product suite, particularly in fraud detection, anti-money laundering, and claims automation. Our team, comprised of experts in data science, data engineering, coding, and client engagement, is dedicated to delivering innovative solutions. You will work with various data types, including structured data, unstructured text, documents, and images.This role is an excellent opportunity for those seeking a permanent position; Shift is the perfect launchpad for your career!About the TeamAs part of our expansive Data Science team, which is the largest in the organization with over 200 Data Scientists globally, your contributions will be vital in enhancing and deploying our Fraud Detection solution.Our Data Scientists tackle a full lifecycle of projects, acquiring extensive technical and professional expertise across data science, engineering, coding, business acumen, and client relations.Your Responsibilities...Contribute actively to the insurance roadmap and collaborate with clients on diverse data types including structured data, free text, documents, and images.Implement data engineering processes, from client extract to data insertion in our storage solutions (SQL, ElasticSearch).Develop, test, and optimize models for tasks such as fraud detection and automation in complex environments.Automate critical business tasks by integrating them into our production framework using C#.

About DoubleVerify and ScibidsDoubleVerify, in collaboration with Scibids, stands at the forefront of AI-driven digital campaign activation. Our innovative solutions empower brands worldwide to enhance ad performance, optimize outcomes, and streamline operational efficiency. Utilizing advanced technology that operates independently of digital identifiers like cookies, our platform integrates seamlessly with leading Demand-Side Platforms, including The Trade Desk, DV360, and Xandr. For more insights, visit our website.Scibids’ AI Optimization technology empowers trading desks with machine learning tools that leverage real-time performance data, enabling them to determine the optimal bidding strategies for each advertising opportunity. This approach results in significant performance enhancements for advertisers. Our Paris office is home to a talented team of over 30 Data Scientists working in tandem with DoubleVerify’s global engineering and data science teams.About the RoleThe mission of Scibids AI is to equip media buyers with automated buying strategies for display campaigns, achieving exceptional performance with minimal human intervention.As a Senior Data Scientist, you will play a pivotal role in refining and advancing the Scibids DoubleVerify bidding algorithms—the core intelligence of our platform. You will lead the enhancement of our automation framework, translating complex business challenges into scalable product improvements. This role demands a unique blend of statistical acumen and practical implementation skills.Your day-to-day responsibilities will include:Overseeing projects from inception through to production deployment and monitoring, ensuring accountability at every stage.Mentoring junior data scientists and developers, providing technical expertise, conducting code reviews, and sharing best practices to uphold high standards of code quality.Working with extensive datasets, handling billions of ad impressions each month and millions of variables.Tackling complex analytical challenges that cannot be solved with standard machine learning techniques.Addressing intricate scaling and engineering challenges as our operations expand.

Join Nexton as a Data Scientist specializing in Dataiku and drive innovative data solutions for our clients in the banking and insurance sectors. In this role, you will leverage your analytical skills to extract insights and develop predictive models that enhance decision-making processes.

Our Mission:At Avisia, we engage in 100% data-driven projects that blend technical and operational dimensions. Depending on your profile and interests, you will have the chance to work on projects that tackle purely technical challenges or more business-oriented issues.Our clients span a range of diverse sectors including Luxury, Retail, Telecommunications, Banking, and Insurance. You will encounter a variety of data science themes in your projects.Here are some current project examples:Designing models to forecast sales generated on an e-commerce platform for a retailer. #ForecastingDeveloping and industrializing a recommendation engine aimed at optimizing conversion rates for website visitors. #RecommendationCreating an attrition score to identify slowly declining customers for a major retail company. #ChurnImplementing customer segmentation to enhance marketing and sales actions for a brand (targeting, retention, based on channel preferences). #CustomerSegmentation

Our Mission:At Avisia, we engage with our clients on 100% data-driven projects that merge technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing purely technical challenges or more business-oriented issues.Our clients span a variety of industries including Luxury, Retail, Telecom, Banking, and Insurance. The data science projects you may be involved in will also cover diverse topics.Current project examples include:Developing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine to enhance website visitor conversion rates. #RecommendationEstablishing an attrition score to identify slowly declining customers for a large retail chain. #ChurnImplementing customer segmentation to optimize marketing and sales actions based on channel contact preferences. #CustomerSegmentation

The Applied AI team at Datadog is dedicated to designing and implementing algorithmically-driven features within our application. Our focus spans various applications, with a primary emphasis on analyzing real-time data streams for tasks such as anomaly detection, error outliers, and faulty deployment analysis. As a Senior Applied Scientist, you will be instrumental in developing models and algorithms that power machine learning features on the Datadog platform. Collaborating closely with our engineering and product teams, you will explore, build, scale, and deliver innovative features that we nurture within the Applied AI team.At Datadog, we value our workplace culture — the connections we build, the creativity we foster, and the collaborative spirit of working together. We embrace a hybrid work model that allows our employees to find a work-life balance that suits them best.

At Shift Technology, we are at the forefront of transforming the insurance landscape with our leading AI platform, which harmoniously integrates generative, agentic, and predictive AI. Our solutions enhance underwriting, claims handling, and fraud detection, significantly improving operational efficiency and delivering exceptional customer experiences. Our technology is trusted by some of the world's top insurers, empowering them to harness AI effectively and at scale.Our company culture thrives on innovation, trust, and a passion for reshaping the insurance industry through our advanced SaaS platform. With a diverse team from over 50 countries, we are collaboratively crafting the future of insurance. The Data Science Team:The Data Science team tackles a wide range of innovative projects. We play a crucial role in defining and developing our product offerings in areas like fraud detection, anti-money laundering, and claims automation. Our team boasts a robust mix of technical expertise in data science, data engineering, coding, and business acumen, alongside strong client engagement abilities. We work with various data types, including structured data, free text, documents, and images.Your Key Responsibilities Include‍:Establishing and deploying data processing pipelines, including data reception (batch or real-time), data cleansing, information extraction, and calibration of fraud detection models.Collaborating with clients to capture their requirements and integrating their feedback to enhance our solutions.Conducting research and development to foster product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).Assisting the sales team by participating in client demonstrations.Collaborating on the entire Data Science product lifecycle, understanding the connections between sales, legal, product, and engineering to deliver AI solutions to clients.

About Shift Technology Shift Technology builds AI-driven solutions for the insurance sector. Our platform supports underwriting, claims, and risk management for insurers worldwide. By combining generative, agent-based, and predictive AI, we help clients improve efficiency and deliver better service. Leading insurers trust Shift to drive results at scale. We value innovation and trust, and our SaaS products aim to transform insurance. The team includes colleagues from more than 50 countries, working together to shape the industry's future. Role Overview: Fullstack Developer As a Fullstack Engineer, join our core Engineering team in Paris. The role involves designing and building applications that deliver direct value to clients. Expect to solve complex technical problems with your squad, collaborating closely with Data Scientists, QA specialists, and Product Managers. The position focuses on delivering high-performance, scalable, and reliable solutions that advance our platform. This role also plays a central part in technical migrations and architectural improvements supporting Shift’s mission.

Our Mission:At Avisia, we engage with our clients on data-driven projects that seamlessly blend technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects that address purely technical challenges or more business-oriented issues.Our clientele spans a wide array of industries including Luxury, Retail, Telecommunications, Banking, and Insurance. The data science missions you might be involved in are equally diverse.Here are a few current project examples: Designing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine aimed at optimizing visitor conversion rates on a website. #RecommendationDeveloping an attrition score to identify slowly declining customers for a major retailer. #ChurnImplementing customer segmentation to enhance marketing and sales strategies based on channel preferences. #CustomerSegmentation

Paris | Full-time | Fluent & As e-commerce continues to flourish, independent brands face challenges in matching the logistics efficiency of giants like Amazon. At Bigblue, we are dedicated to transforming this landscape.We empower brands by democratizing top-tier operations, enabling them to scale faster while providing a five-star customer experience.Since our inception in 2018, we have developed a tech-driven logistics platform that supports over 500 brands, ranging from dynamic DTC players to globally recognized names like MUJI, Aigle, and Cabaïa. With a growing team of 110+ employees across Paris, Madrid, and London, our proprietary Warehouse Management System (WMS) Atlas and our network of 7 warehouses throughout Europe allow us to tackle logistics challenges that others shy away from — making fulfillment faster, smarter, and more sustainable.Supported by over $20M in funding and trusted by the next generation of e-commerce leaders, we are rapidly expanding — aiming for 10 million orders in 2024 as we set our sights on ambitious enterprise growth. We seek a dedicated partner to help us navigate this bold journey ahead.The Role of Data at BigblueAt Bigblue, we are fundamentally data-driven. Data informs our decision-making processes at every level. Our unique position at the heart of our merchants’ operations, combined with our close connection to our fulfillment network, gives us access to vast amounts of fresh, real-time data. This data not only reveals how our merchants are performing but also highlights how we can support their growth. As our network expands geographically, we encounter new data challenges, prompting us to further increase our data team in 2025.Key ResponsibilitiesAddress Customer Data ChallengesAs an integral member of the data practice within the Bigblue product team, you will tackle crucial challenges for our business and our merchants. Your role will involve engaging in product development cycles, focusing on data-related issues while collaborating with designers, engineers, and stakeholders both within and outside of Bigblue. You will oversee the entire problem-solution-experimentation lifecycle, from building proof of concepts to rapidly launching features and experiments to achieve strategic objectives. Your solutions may include data analysis, algorithm development, and machine learning models.Potential projects may include:• Developing a reliable, real-time delivery ETA for buyers,• Enhancing our internal logistics algorithms to optimize specific operational facets...

About BlaBlaCarBlaBlaCar stands as the world's foremost community-driven travel application, connecting 27 million members annually for carpooling and bus journeys across 21 countries. Our diverse team of 800 employees hails from over 50 nationalities, operating from five global offices, with 30% working remotely.Your RoleWe are on the lookout for a motivated and dynamic Junior Data Scientist to join our Community Relations Team (CR Team). In this role, you will be instrumental in developing intelligent systems that empower our agents to provide exemplary support to our vast community of BlaBlaCar users. Your responsibilities will include:Innovate within the CR ecosystem: Craft and implement advanced machine learning models that enhance our processes, ensuring our members feel heard and receive timely support tailored to their needs.Boost trust and operational efficiency on the platform: Design smart automation solutions for real-time fraud detection, AI-driven content moderation, and utilize generative AI for seamless translations and customer support enhancement.Facilitate data-driven decision-making: Develop impactful data products and applications that yield actionable insights, directly contributing to BlaBlaCar's success.Lead the charge with generative AI: Investigate and apply innovative generative AI applications to improve internal efficiency, automate essential tasks, and democratize data access throughout the organization.Your ResponsibilitiesBuild and deploy ML models: Design, construct, and launch machine learning models into production, collaborating with fellow Data Scientists and ML Engineers to enhance our marketplace functionalities (e.g., matching, ETA).Automate internal functions: Develop smart solutions for real-time fraud detection, employ deep learning for profile image moderation, and leverage large language models for text moderation and generative AI tasks like translation.Contribute to generative AI advancements: Proactively identify, prototype, and implement generative AI solutions to boost employee productivity and automate critical operational workflows.Embrace growth: Be open to mentorship and learning, bringing enthusiasm and fresh perspectives to our team.Collaborate within a comprehensive data team: Engage with our autonomous data team to drive impactful outcomes.

Nūmi is an innovative bioproduction platform utilizing human mammary cells to create essential ingredients with scientifically validated health benefits throughout all stages of life. Specifically, we are the pioneering European cultivated breast milk company, focused on generating human milk components that closely align with optimal nutrition for infants! As a dynamic early-stage startup, we are on a mission to transform how we nourish the next generation. If you're looking to be part of a rapidly growing, venture capital-backed biotech startup, Nūmi could be your next great opportunity!Situated in the heart of Paris (Hôpital Cochin, Paris 14), Nūmi is supported by esteemed international investors, leading scientists, and prominent academic institutions.Our Culture & Values Positivity: We foster a positive environment at Nūmi, where our mission encourages passionate and energetic communication, always keeping our larger impact in focus. We celebrate small victories but remain committed to our ultimate goals.Excellence: At Nūmi, we define excellence through dedication and a continuous improvement mindset. We view challenges as opportunities to learn and strive for high-quality outcomes. Our growth is driven by effort, attention to detail, and integrity, both as individuals and as a team.Teamwork and Pedagogy: We believe that collaboration strengthens us at Nūmi. We promote knowledge sharing, constructive feedback, and mutual respect, ensuring that every team member contributes to our collective success.Ambition: We set bold goals and encourage expansive thinking at Nūmi. Driven by innovative ideas and determination, we aim high to create meaningful change.Why This Role MattersIn our work at Nūmi, the capacity to identify “golden” cell lines, batches, and conditions relies heavily on our ability to effectively collect, organize, and leverage our data, rather than merely increasing the volume of experiments.Currently, our experimental data encompasses:Electronic Lab Notebook (ELN) entriesSpreadsheetsBioreactor and equipment outputsAnalytical and Quality Control (QC) readoutsThis position is essential for transforming our fragmented data landscape into a cohesive, reliable, and actionable data layer that empowers R&D, informs scale-up decisions, and supports regulatory and industrialization initiatives.As a Lead Data Scientist, you will be a pivotal contributor to advancing scientific progress at Nūmi.Your ResponsibilitiesEstablish Nūmi’s Scientific Data InfrastructureOversee the development of scalable data models and ontologies that accurately reflect experimental workflows, metadata standards, and the scientific landscape.Facilitate the harmonization and integration of data across ELNs, spreadsheets, instruments, assays, and analytical systems into a centralized, user-friendly platform.

About TeadsTeads is a premier omnichannel advertising platform dedicated to delivering exceptional outcomes for brand and performance advertisers across various screens. Our commitment to achieving meaningful business outcomes for branding and performance objectives is realized through the application of predictive AI technology, which connects high-quality media, stunning brand creative, and contextually-driven addressability and measurement. We proudly partner with over 10,000 publishers and 20,000 advertisers worldwide. Headquartered in New York City, Teads boasts a diverse global workforce of approximately 1,700 employees across more than 30 countries.To learn more, visit www.teads.com.Our Engineering Challenges at TeadsDevelop efficient and user-friendly web products utilized by countless users representing the world’s leading publishers, advertisers, and agencies.Diverse tech stack and system architecture to enhance performance, scalability, resilience, and cost-effectiveness. Our primary technologies include Scala and TypeScript, among others.High-traffic environment (2.2 billion users per month, 100 billion events daily) with stringent low latency and high availability requirements (2 million requests/second, responses in under 150 milliseconds).Management of extensive datasets with millisecond-level access times to execute a near real-time complex auction resolution algorithm (18 million predictions per second).Dynamic environment where we continuously collaborate with product teams and adapt our Cloud infrastructure to support new features and enhancements.

Role OverviewJoin our innovative team at Mistral in the heart of Paris as a Data Scientist. In this pivotal role, you will collaborate closely with product management, research, and engineering teams to analyze user behaviors, enhance product performance, and develop data-driven features aimed at advancing our cutting-edge AI product suite.We are looking for individuals who thrive in fast-paced, dynamic environments and enjoy solving complex problems. This is an exciting opportunity for those who wish to directly influence our product roadmap. The successful candidate will possess a robust background in data analysis, statistical modeling, and machine learning, with a track record of achieving exceptional results in high-pressure situations.If you're passionate about data, enthusiastic about AI, and ready to make a substantial impact on our data science strategy, we invite you to apply.Key Responsibilities• Define essential metrics, thoroughly assess the performance of our AI offerings, and pinpoint areas for enhancement.• Design and conduct experiments (A/B tests, causal inference) to validate hypotheses and inform product strategies.• Spearhead end-to-end data science projects, encompassing data collection, preprocessing, model development, evaluation, and deployment.• Assess model performance in both training and production environments, identifying edge cases and creating frameworks to gauge user satisfaction.• Collaborate with engineering teams to ensure the integrity and accessibility of data for analytics and machine learning applications.• Depending on your level of expertise, mentor colleagues and disseminate best practices in data science and analytics.Candidate ProfileEssential Qualifications:• A minimum of 2 years of professional experience as a Data Scientist.• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.• Proficiency in Python and SQL.• A strong technical aptitude complemented by excellent communication skills.

Join Roland Berger as a Data Scientist Intern and contribute to innovative projects that shape the future of business strategy. This internship offers a unique opportunity to apply your analytical skills in a dynamic environment, working alongside experienced professionals in the industry.

Join our team as a Data Scientist and play a key role in managing and optimizing Large Language Models (LLMs) for AI safety.About UsWhite Circle is a pioneering AI Safety company dedicated to enhancing the safety, reliability, and efficiency of AI systems. Our platform is built on policies—clear natural language rules that dictate the appropriate conduct of AI models. We automate the testing, enforcement, and continuous enhancement of these policies at scale.We have secured $11 million in funding from leading investors, including founders and senior leaders from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others.Our operations handle over 100 million API calls each month.We specialize in fine-tuning and training our own LLMs, enabling them to operate faster and at a lower cost than any available model.As a compact and dedicated team, we offer an environment where you can tackle complex challenges, expedite your work into production, and substantially influence the development of AI safety.Your Role:Transform vast amounts of unstructured text into a structured and navigable format (including topics, clusters, segments, trends, and anomalies), moving from “unknown unknowns” to stable definitions for tracking.Develop scalable representation pipelines: including sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval, making the corpus searchable and analyzable.Utilize LLMs in practical applications: implementing labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of incoming volumes, with cost and quality controls in place.Provide actionable insights that inform decisions: convert your findings into product and operational strategies (identifying available data, gaps, quality issues, and prioritization).Create self-service analytics resources: develop datasets, data models, and user-friendly tools/dashboards to enable team members to explore and address inquiries independently.Collaborate closely with engineering and research teams: ensure alignment of pipelines with production constraints (including latency, cost, and privacy) and integrate outputs into existing workflows.You Will Thrive If You:Possess strong skills in Python and SQL, with an engineering mindset capable of building reliable pipelines rather than just notebooks.Have practical experience in applied NLP/ML on real-world text: including embeddings, clustering, and model training.

CAPFI is a dynamic and innovative technology consulting firm, dedicated to providing a stimulating work environment driven by technological expertise and a strong culture of innovation. We pride ourselves on the diversity of projects we offer, fostering a human-centered approach in our work. Trust, active listening, and support are the core values that benefit all of our collaborators.Our mission? To empower you to shape your employee experience, choosing your professional trajectory, learning pace, and creating the conditions necessary for your personal growth.Diversity is our strength, and we treat all applications equally, focusing solely on the candidate's skills without regard to origin, age, gender identity, disability, or religion.Join our team at CAPFI Technology.CAPFI Technology, based in Paris and London, brings together our expertise in information technology and financial markets. Here, our consultants collaborate with clients on strategic projects that blend innovation, IT, and financial challenges.Upon joining the CAPFI community of project management experts, where you will receive training and coaching, you will work as a Business Analyst or Project Owner within a client team.Your Responsibilities :You will serve as the primary point of contact for the project team and ensure the human and technical oversight of each consultant involved.In the context of evolving activities, as a Project Owner/Business Analyst, you will be integrated into a team of financial market experts at one of our clients. Collaborating with business sponsors, IT teams, and regulatory teams, you will assist the existing team in the progressive and corrective maintenance of information systems and in the execution of various cross-functional projects, such as the enhancement of position-keeping, risk, or management tools.

Join Gorgias as a Senior Data Scientist and contribute to the evolution of our data-driven decision-making processes. In this vital role, you will leverage your expertise to analyze complex datasets, derive actionable insights, and drive strategic initiatives that enhance our customer support solutions.Your ability to work collaboratively with cross-functional teams will be key in translating data into compelling narratives that guide business strategy. We are looking for a candidate with a passion for data science, a strong analytical mindset, and the ability to communicate findings effectively.

Nexton seeks an Applied Scientist (H/F) to join the team in Paris. The position centers on applying scientific methods and advanced analytics to solve complex challenges and enhance products. Key responsibilities Collaborate with colleagues from various fields to address business objectives Use data science and machine learning techniques to develop models and algorithms Examine large and intricate data sets to inform important decisions Present insights that influence strategy and improve company processes Location This role is based in Paris.