Data Scientist improving ML models and driving R&D for financial AI at Bridgeapi. Collaborating on scalable data architecture with an innovative Data & Product team.
Responsibilities
Create, deploy and oversee the continuous improvement of our ML models
Participate in R&D for upcoming algorithms such as LLMs
Contribute to the scalable data architecture of our platform
Develop feature engineering strategies aligned with upcoming projects
Propose new data sources
Lead optimization of algorithms such as Random Forest, XGBoost, LLMs and Mixture of Experts
Design pipelines and implement CI/CD processes
Implement monitoring, drift detection and predictive maintenance
Optimize production systems for performance and scalability
Requirements
Master’s degree (Bac+5) in engineering, Data Science, or equivalent
3–5 years’ experience in Data Science or ML Engineering
Experience delivering ML projects in production
Knowledge of the financial domain (KYC, scoring, fraud)
Expertise in classification and regression algorithms
Strong command of evaluation metrics and model optimization
Experience in feature engineering and variable selection
Familiarity with scalable ML architectures and best practices
Benefits
Offices in central Paris, République metro
Hybrid policy: 3 days remote per week
4 additional days off per year
Swile card for lunches
Bridge rituals and events throughout the year: afterworks, internal events, etc.
Data Scientist at Capital One leveraging AI and machine learning to analyze vast customer data. Collaborating with cross - functional teams to deliver user - friendly solutions and insights.
Senior Manager driving product analytics at Mistplay, the mobile gaming loyalty app. Leading teams to enhance analytics and experimentation in mobile gaming strategies.
Product & Data Manager role focusing on data reliability and product offerings for Eldora Group in Switzerland. Engage with various departments for operational excellence and quality assurance.
Senior Data Scientist at Eyecare Health transforming data into actionable insights and predictive models. Leading machine learning initiatives to optimize decision - making and improve health outcomes.
Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
Senior Lead Data Scientist managing a data science team focused on pricing models in Business Insurance. Driving success through scope definition, mentorship, and collaboration with various teams.
Head of Data Sources and Acquisition Strategy managing external data sourcing at Fitch Group. Overseeing partnerships and compliance, ensuring data quality and business alignment.
Data Scientist driving data - led decision - making in Zurich's Life products team. Collaborating with data, AI and business experts to enhance efficiency and strategic insights.
Data Scientist II enhancing supply planning performance at Seagate through AI/ML solutions. Collaborating across regions to translate business challenges into data science problems and deliver actionable insights.
Data Scientist developing analytical models to enhance security incident detection at Trust Control. Collaborating with security analysts to provide actionable insights from large data volumes.