Our client is a global leader in food & beverage consumer trends, specialising in sustainable, natural, and plant-based ingredients and solutions. Catering to large, attractive, and rapidly growing end-use categories, they generated an impressive ยฃ12 billion in revenue last year. They are currently seeking a Data Scientist to join their team in London.
Work Arrangement: Hybrid (2 days in the office)
Sponsorship: Not available
Perks: Fancy lunch and drinks on Fridays
Salary: From ยฃ70k
Key Responsibilities:
- Maintain and develop the Value-at-Risk (VaR) model for commodity and currency exposures using Python.
- Develop a user interface for end-users.
- Engage with Business Unit stakeholders to understand needs and scope risk-related projects.
- Perform data analysis and visualisation to identify patterns and insights in traded markets and positions.
- Apply and refine analytical/machine learning models to solve business problems.
- Implement and communicate model results and visualisations to drive business value.
Ideal Candidate:
- STEM degree with strong coding skills.
- 3+ years of data science experience with real-world data.
- Proficient in Python, SQL, and other data science tools.
- Strong understanding of VaR modelling, stress testing, and financial derivatives.
- Experience in time series modelling.
- Skilled in visualising complex data for diverse audiences.
- Advanced qualifications in mathematics, statistics, and machine learning preferred.
