Staff Data Scientist, Investment Modeling

Main Tasks and Responsibilities:

• Utilising advanced forecasting methods to design, develop, and maintain model frameworks across multiple business verticals for short- and long-term horizons, ensuring high accuracy and low operational cost.
• Rapidly deploying models to production with AWS and internal ML platforms and working with Python, Spark, Presto, Docker, SageMaker, Airflow tech stack.
• Solving complex optimisation problems by simulating strategic solutions for incentives budget allocation while balancing local and global constraints to maximise ROI.
• Effectively communicating model outcomes as insights to a diverse group of stakeholders.
• Working in cross-functional teams with Data Analysts, Data Scientists, Product Managers and Software Engineers to gain a deep understanding of technical and business needs.
• Regularly share knowledge with other Data Scientists across all seniority levels, promoting learning and innovation in a collaborative environment.

About you:

• You have at least 5 years of experience in Data Science and Machine Learning, ideally in product development within a technology-focused company.
• You are experienced in Timeseries Forecasting, specifically financial metrics in marketplaces, scenario-based forecasting, capital allocation and budget modelling.
• You apply first-principle thinking to break down complex challenges and design innovative solutions from fundamental concepts.
• You’re skilled in Python programming, libraries such as Pandas, Numpy, scikit-learn, and OR-tools for data analysis and modelling, with practical experience in statistical hypothesis testing that allows you to independently identify problems, explore trends, and discover opportunities through data-driven methods.
• You exhibit excellent teamwork and strong communication skills in English, both verbal and written, enabling clear collaboration and knowledge-sharing.
• You’ll get bonus points if you have a PhD in a quantitative discipline such as Physics, Mathematics, Computer Science, or Economics, showcasing the ability to translate data insights into impactful products and demonstrating deep analytical and research capabilities.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!