About the Company FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily in Nigeria and has secured nearly €50 million in funding from renowned investors including Tiger Global, DST, and Flourish Ventures. Job Summary Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best-tailored credit services to as many clients as possible. Requirements

Strong background in Mathematics / Statistics / Econometrics / Computer Science or related field 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain Strong proficiency in Python and SQL Hands‑on experience handling large volumes of tabular data Strong analytical skills: ability to make sense of diverse data and its application to specific business problems Confidence working with key machine learning algorithms (GBM, XG‑Boost, Random Forest, Logistic regression) Experience building and deploying models around credit risk, debt collection, fraud, and growth Track record of designing, executing and interpreting A/B tests in a business environment Strong focus on business impact and experience driving it end‑to‑end using data science applications Strong communication skills Passion for all things data

Tool Stack

Programming language: Python Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask) ML: Scikit‑Learn, LightGBM, XGBoost, shap ETL: Python, Apache Airflow Cloud: AWS, GCP Database: MySQL DWH: BigQuery, Snowflake BI: Tableau, Metabase, dbt Streaming Applications: Flink, Kinesis

Role and Responsibilities

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 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 modelling 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 to derive patterns from the data Own data science projects end‑to‑end and proactively drive improvements in both data and models

Benefits

Paid Time Off (25 days vacation, sick & public holidays) Family Leave (maternity, paternity) Training & Development budget Paid company business trips (not mandatory) Remote work

Recruitment Process

Screening call with Senior Recruiter Home Test assignment Technical interview Interview with the team and key stakeholders

Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Non-profit Organizations and Primary and Secondary Education Referrals increase your chances of interviewing at FairMoney by 2x Get notified about new Senior Data Scientist jobs in United Kingdom. #J-18808-Ljbffr