We’re working with a fast-growing financial technology company based in Abu Dhabi, UAE using AI and decision science to transform how businesses access and deploy growth capital.
They’re looking for a Senior Data Scientist to work at the intersection of financial-product research, AI and decision intelligence. You’ll tackle ambiguous commercial problems across credit, lending and investment, turning complex financial data into models, insights and practical AI-powered solutions.
You’ll work closely with investment, credit, treasury, Data Science and Engineering teams, helping identify where data and AI can create meaningful commercial advantage.
What You’ll Do
- Research new financial domains, products and commercial problems to understand where data and AI can create value
- Identify, assess and structure relevant financial and alternative data sources
- Develop models and analytical approaches across areas such as credit scoring, risk assessment, cash-flow forecasting and portfolio analysis
- Take ambiguous problems from initial hypothesis through to MVP, validation and iteration
- Explore opportunities to automate financial and investment workflows using AI
- Build practical AI solutions, including LLM, RAG and agent-based workflows, where they add genuine value
- Translate complex quantitative analysis into clear recommendations, summaries and decision-support tools
- Present findings and recommendations to investment, credit and business stakeholders
What We’re Looking For
- 6+ years of experience in Data Science, Quantitative Modelling or AI/ML
- Strong experience in a financial domain, ideally private credit, lending, underwriting, credit scoring, banking or risk
- Experience with areas such as default modelling, LGD, model validation, credit risk or fixed-income products is highly valuable
- Strong foundations in machine learning, statistics and data science
- Advanced Python and strong SQL skills
- Experience taking an ambiguous business problem and independently turning it into a data-driven solution or working prototype
- Strong understanding of how to assess data quality, identify useful signals and validate model outputs
- Practical understanding of modern AI approaches such as LLMs, RAG, agents and orchestration
Nice to Have
- Experience with private credit, investment management, lending or financial products
- Experience with XGBoost, LightGBM, SHAP or other predictive modelling techniques
- Experience building AI-powered internal tools or prototypes
- Familiarity with MLOps, MLflow or model monitoring
- Experience creating simple dashboards or user-facing analytical tools using Streamlit, Tableau or Power BI
- Exposure to PyTorch or TensorFlow
- Experience with financial data platforms, alternative data or large-scale datasets
- Familiarity with cloud environments, APIs, Docker or CI/CD
- Experience with MCP or agent-based systems
Interested?
Apply today!