Data Scientist (ML / GenAI)
About the project
Andersen is hiring a Data Scientist (ML / GenAI) for a project developing AI-powered digital banking solutions and personalized financial services on a cloud-native platform.
The customer is a mobile-only digital bank offering modern financial services through an app-based experience. The organization provides features such as virtual cards, multi-currency accounts, savings tools, and goal-based financial planning, along with innovative products that support personal and group savings. Known for its user-centric approach and continuous product innovation, the bank has received industry recognition for digital excellence and customer experience.
The project is focused on developing and scaling a cloud-native, mobile-first digital banking platform that delivers AI-driven and personalized financial services. It includes expanding digital banking capabilities, launching new products and features, and supporting the platform’s growth across new markets while continuously enhancing customer experience and performance.
Responsibilities
- Developing and maintaining ML models (credit scoring, fraud detection, recommendation systems).
- Performing model training, evaluation, tuning, and validation.
- Translating business requirements into ML features and model logic.
- Collaborating with SMEs to incorporate domain knowledge.
- Supporting deployment and monitoring of models in production.
Requirements
- Experience in Data Science / ML engineering + GenAI for 3+ years.
- Experience with supervised/unsupervised learning and model evaluation techniques.
- Hands-on experience with credit scoring, fraud detection, or recommendation models.
- Strong Python skills (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with GenAI/LLMs (prompting, embeddings, fine-tuning).
- Experience with feature engineering and data preprocessing.
- Exposure to financial domain datasets and risk models.
- Good understanding of statistics and data analysis.
- Level of English – from Upper-Intermediate and above.
Nice to have
- Experience with MLOps tools and deployment pipelines.
- Knowledge of real-time decisioning systems.
Why join us
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.;
- The opportunity to change the project and/or develop expertise in an interesting business domain;
- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant;
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee;
- The opportunity to earn additional up to 1,000 USD per month by participating in the company's activities;
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated;
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies);
- Certification compensation (AWS, PMP, etc);
- Referral program;
- Private health insurance and compensation for sports activities.
