Are you excited about leveraging data and complex algorithms to improve business decisions and drive business value, helping to build the **No. 1 digital lender** in India and Nigeria? Then, we’re looking for you!Your role is Lead Data Scientist in the Data Science/Risk team working from offices in Paris, Riga, Lagos, Bangalore as well as remotely across the globe. Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and growth, offering the best-tailored credit services to as many clients as possible.Requirements- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.- Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions.- Assess the effectiveness and accuracy of new data sources and data gathering techniques.- Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.- Coordinate with different functional teams to make the best use of developed data science applications.- Develop processes and tools to monitor and analyze model performance and data quality.- Apply advanced statistical and data mining techniques in order to derive patterns from the data.- Own data science projects end-to-end and proactively drive improvements in both data science and business processes. Required skills: Strong background in Mathematics / Statistics / Econometrics / Computer science or related field. 5+ years of work experience in analytics, data mining, and predictive data modeling, preferably in the fintech domain. Being best friends with Python and SQL. Hands-on experience in handling large volumes of tabular data. Strong analytical skills: ability to make sense of a variety of data and its relation/applicability to a specific business problem. Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression). Experience in building and deploying models around credit risk, fraud, collection, and growth. Strong focus on business impact and experience driving it end-to-end using data science applications. Strong communication skills. Being passionate about all things data. Our tool stack: Programming language: Python Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask) ML: LightGBM, Scikit-Learn, XGBoost, shap ETL: Python, Apache Airflow Cloud: AWS, GCP Database: MySQL DWH: BigQuery BI: Tableau, Metabase, dbt Benefits Paid Time Off (25 days Vacation, Sick & Public Holidays) to all B2B contractors and employment staff. Family Leave (Maternity, Paternity) Training & Development budget Paid company business trips (not mandatory) Contract: permanent. Location: any, within 3 hours difference from CET. Remote work: any combination of remote / office work is acceptable. Recruitment Process Screening with Talent Manager or directly with Head of Data team- 30 min. Test assignment and technical interview with data science team leads - 1 hour.