Summary: The Junior Data Science Engineer role at a FinTech startup involves building and maintaining KPI trackers and contributing to regression models and time series forecasting. The position is fully remote and offers an opportunity to work within a collaborative team focused on delivering financial market insights. The ideal candidate will have a strong foundation in statistics and software development, particularly in Python and SQL. This role is suited for individuals passionate about statistical modeling and financial markets.

Key Responsibilities:

• Assist in developing and maintaining KPI trackers for publicly listed companies.
• Implement and refine statistical models, particularly regression and time series analysis.
• Perform data queries using SQL and collaborate closely with the wider data science team.
• Ensure high-quality, maintainable code and contribute collaboratively using GitHub.
• Undertake occasional web scraping tasks to support data collection.

Key Skills:

• Approximately 1 year of commercial experience in Data Science.
• Strong foundation in statistics, with particular emphasis on regression modeling and basic econometrics.
• Excellent communication skills to clearly explain statistical concepts.
• Proven software development experience (Python required, SQL essential).
• Collaborative coding practices using GitHub.
• Experience with Docker highly desirable.
• Any web scraping experience is a plus.
• Familiarity with time series data is advantageous.
• Interest or experience in integrating LLM technologies or API interactions beneficial.
• Strong interest in finance or economic modeling.
• Academic background in Economics, Statistics, or Mathematics (Masters preferred).

Salary (Rate): 45000

City: Oxfordshire

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: Entry Level

Industry: Finance