Machine Learning Scientist at Experian | Sofia

Join our Analytics Services Team at Experian Software Solutions, where we drive innovation in advanced analytics and generative AI for decision-making, fraud prevention, and identity verification worldwide.As a Machine Learning Scientist, you will leverage your expertise to design, build, and implement state-of-the-art machine learning and generative AI solutions at scale. Your role will merge deep data science knowledge with ML and data engineering skills to deliver robust production models, prototypes, and platform enhancements. Additionally, you will collaborate with cross-functional teams to facilitate global product launches, client implementations, and drive early adoption initiatives. You will report directly to the Director of Data Science and Generative AI.Key Responsibilities:Collaborate with data scientists to enhance and productize additional analytics solutions.Ensure the successful execution of production code within the Ascend platform to deliver innovative solutions to our clients.Work with Engineering, Research, and Data Science teams to design and implement machine learning models, dashboards, ad hoc analyses, and AI applications on a cloud-native big data platform (AWS).Partner with leaders, analytic consultants, engineers, account executives, product managers, and external partners to introduce impactful solutions to our diverse client base.Develop advanced machine learning solutions and prototypes to glean insights from varied structured and unstructured data sources, documenting and presenting findings effectively.Utilize generative AI tools and model development frameworks to create new models and deploy generative capabilities, including prompt engineering and model evaluation.Produce high-quality production code following software engineering best practices, ensuring reliability and reproducibility.Communicate methodologies, assumptions, performance metrics, and trade-offs to both technical and non-technical stakeholders, translating intricate concepts into actionable insights.Design and implement advanced algorithms to tackle complex problems across supervised, unsupervised, and reinforcement learning methodologies.Contribute to the evolution of features and platforms by gathering feedback from clients and teams, prioritizing enhancements within Experian's ML and AI ecosystem.

Join Experian as a Data Scientist and leverage your analytical skills to transform data into actionable insights. You will be part of a dynamic team that focuses on extracting value from data, driving business strategies, and enhancing customer experiences. Your role will involve developing predictive models, conducting data analysis, and collaborating with various departments to support data-driven decision-making.

Join our innovative Analytics Services Team at Experian Software Solutions, where we drive the development of cutting-edge analytic and generative AI products that aid in decision-making, analytics, fraud prevention, and identity management on a global scale.As a Data Scientist, you will leverage your expertise in predictive modeling, coding, and generative AI to craft analytical solutions and contribute to product prototypes. Your role will involve leading analytical consulting efforts for Experian's new global product launches and ensuring early client success. You will work under the guidance of the Director of Data Science and Generative AI.Key Responsibilities:Design and implement advanced machine learning models and prototypes to extract valuable insights from various structured and unstructured data sources.Collaborate with engineering, research, and data science teams to develop Machine Learning applications, dashboards, and ad hoc analyses on our cloud-native big data platform (AWS).Clearly communicate model processes and outcomes, documenting findings and performance metrics while translating complex results into actionable insights.Work alongside leaders, analytic consultants, engineers, and product managers to introduce new solutions to the market that create significant value for Experian's diverse client base.Utilize generative AI and modeling tools to develop innovative models.Investigate and integrate new data assets from various sources into Experian's ML and AI platform.Collect feedback from internal and external clients to inform product development and feature prioritization, as well as contribute to the evolution of tools and capabilities within the Ascend Platform.Analyze extensive datasets to identify patterns and insights.Address complex challenges through the creation of impactful algorithms.

Join Experian as a Senior Data Scientist and leverage your expertise in data analytics to drive impactful business solutions. Collaborate with cross-functional teams to develop predictive models, enhance data-driven strategies, and contribute to innovative projects that enhance customer experiences.

Join Experian as a PMO Analyst and play a crucial role in managing our project portfolio. You will be responsible for tracking project progress, ensuring alignment with strategic goals, and providing insights to enhance project performance. This is an exciting opportunity to work with a dynamic team in a fast-paced environment.

Join Experian, a global leader in data and analytics, as a Data Analyst. In this role, you will leverage data to provide insights that drive business decisions and improve customer experiences. Your analytical skills will help transform raw data into actionable strategies, contributing to our mission of helping clients make informed decisions.

Join our dynamic team at Experian as a Site Reliability Engineer (SRE). In this role, you will be pivotal in ensuring the reliability, availability, and performance of our services. You will collaborate closely with development teams to build robust systems and automate processes, enabling seamless service delivery.Your expertise will help us identify and resolve issues proactively, enhancing the overall user experience. We are looking for someone passionate about technology and eager to contribute to our mission of empowering consumers and businesses through data.

Role Overview Experian is hiring a Junior Financial Analyst in Sofia. This position supports financial planning and analysis, focusing on accurate and timely reporting. The role works closely with teams across the business to deliver insights that inform decision-making. Main Responsibilities Assist with financial planning and analysis tasks Prepare and review financial reports for accuracy and deadlines Collaborate with other departments to gather and interpret financial data Contribute insights to help guide business decisions Location Sofia

Join Experian as an Associate Data Modeller and become a vital part of our dynamic team in Sofia. In this role, you will be responsible for assisting in the design and implementation of data models that drive our analytics and reporting efforts. You will work closely with cross-functional teams to understand business requirements and translate them into effective data structures.The ideal candidate will have a passion for data and a strong analytical mindset. You will leverage your technical skills to support data-driven decision-making processes and enhance our data management capabilities.

Join our innovative PowerCurve Collections Software Engineering Team as a Full-Stack Software Engineer. In this role, you will contribute to our advanced debt management system, empowering clients to optimize their collections strategies and enhance their decision-making processes. You will create customizable and user-centric features that solidify our leadership in the market. Your Responsibilities:Design and implement scalable full-stack solutions utilizing Java and Angular.Produce clean, efficient, and thoroughly tested code.Maintain and enhance automated testing to guarantee software quality.Conduct code reviews to uphold coding standards and best practices.Participate in technical design and estimation discussions.Identify and resolve issues to deliver tangible business value.Foster knowledge sharing to promote team growth and engineering excellence.

Join Experian as a Senior Cloud Site Reliability Engineer and be a key player in ensuring the reliability and performance of our cloud infrastructure. In this role, you will collaborate with cross-functional teams to design and implement robust cloud solutions, optimize system performance, and enhance service reliability.Your responsibilities will include monitoring system health, troubleshooting incidents, and implementing automation for operational tasks. You will leverage your expertise in cloud technologies to drive improvements in our systems and processes.

Your Role:Craft sophisticated data engineering solutions that facilitate data analysis and deliver on-demand insights.Design and implement scalable, cloud-native data platforms and pipelines tailored for both structured and unstructured data.Develop robust ETL/ELT pipelines utilizing cutting-edge cloud-native services.Take the lead in architecting and refining complex multi-platform data architectures to enhance performance, scalability, and growth.Implement best practices in data quality, governance, lineage, security, and observability.Collaborate with analytics, product, engineering, and business teams to transform requirements into dependable, high-value data solutions.Provide technical mentorship and guidance, ensuring compliance with established engineering standards and quality protocols.Enhance and evolve data solutions using contemporary cloud technologies (such as S3, Redshift, Glue, or comparable services).You will report to the Data Modeller - Manager.

Join NielsenIQ as a Principal Data Scientist, where you will play a pivotal role in shaping data strategies and driving insights. In this position, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets and provide actionable insights that influence business decisions. You will collaborate with cross-functional teams to design innovative solutions that enhance our data-driven capabilities.

Join NielsenIQ as a Junior Data and Machine Learning Analyst, where you will play a pivotal role in analyzing data and implementing machine learning models. This is an exciting opportunity for individuals looking to enhance their skills in data analysis and machine learning in a dynamic and innovative environment.

Role overview NielsenIQ seeks a Junior Data and Machine Learning Analyst for its Sofia office. This position works alongside experienced data scientists and analysts, with a focus on extracting insights from complex datasets and contributing to machine learning projects. What you will do Analyze large and diverse data sets to uncover patterns and trends Support the creation and application of statistical models Assist in building and testing machine learning solutions Work closely with team members to deliver insights that inform decisions Growth and learning This role provides hands-on experience in data analysis, statistical modeling, and machine learning. Guidance from experienced colleagues and opportunities to develop new technical skills are part of the team culture.

About Our TeamThe Global Operations team at SumUp is dedicated to creating an unparalleled customer experience in the fintech sector, with artificial intelligence at its core. As a vital member of our AI team, you will bridge machine learning engineering and tangible product impact, developing models and systems that enhance intelligent customer support for over 4 million merchants globally. This is not a research position; it's a dynamic engineering role where your contributions will directly influence the daily experiences of SumUp merchants.Your ResponsibilitiesDesign, build, and deploy robust AI solutions into production, prioritizing reliability and scalability.Develop and maintain ML infrastructure and data pipelines to optimize data processing, model training, and serving.Enhance and fine-tune machine learning models for peak accuracy and efficiency in large-scale applications.Work collaboratively with data scientists, product managers, and backend engineers to convert business requirements into effective AI strategies.Implement strong engineering practices including version control, CI/CD, and comprehensive testing frameworks.Gather, preprocess, and organize extensive text datasets to facilitate superior model training and assessment.

Join NielsenIQ as a Senior Data Scientist, where you will leverage your expertise in data analysis and modeling to derive actionable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making and enhance business strategies. You will be instrumental in developing innovative solutions that meet client needs while contributing to our mission of delivering valuable insights to businesses worldwide.

Join Experian as an Application Technology Support Analyst and be a vital part of our dynamic team in Sofia. In this role, you will leverage your technical expertise to provide exceptional support for our applications, ensuring optimal performance and user satisfaction. Collaborate with cross-functional teams to troubleshoot issues, implement solutions, and enhance application functionality.

As an IT Audit Manager at Experian, you will play a pivotal role in ensuring the integrity of our information systems and compliance with regulatory standards. You will lead a team of audit professionals in conducting thorough audits, assessing risk management processes, and providing insightful recommendations to enhance our IT governance.Your expertise will help safeguard our data assets and improve our overall operational efficiency. You will collaborate closely with various departments to ensure alignment with industry best practices.

Join Experian as an Analytics Consultant and leverage your analytical expertise to drive data-driven insights and solutions for our diverse client base. In this dynamic role, you will utilize advanced analytical tools and methodologies to interpret complex datasets, enabling clients to make informed strategic decisions.We are looking for individuals who are passionate about data analysis and have a knack for problem-solving. If you're ready to make a significant impact in the world of analytics, we invite you to apply!