Data Scientist

Oxford Data Plan is a fast-growing FinTech company providing alternative data and KPI tracking for 200+ listed companies worldwide. We help fundamental investors make better decisions with proprietary data insights. Founded in 2022, we’ve grown to over 70 people and are backed by leading investors.

You will report to one of our Data Science Managers.

Responsibilities

• Analyse data, build, validate, and test prototype models in Jupyter.
• Produce data visualisations in python to inspect correlations and create dashboards with PowerBI.
• Deploy new jobs to production using Docker and AWS technologies.
• Monitor, debug and maintain production code.
• Conduct equity research on companies, and apply domain knowledge to improve models.
• Support the Evaluation team by exploring new potential data sources, or building new web scrapers.

Essential skills

• Proficiency in Python:
• Ability to write functional, reproducible, and well documented code.
• Proficient with typical data scientist modules (pandas, numpy, matplotlib, scikit-learn).
• Strong Statistical knowledge:
• Good understanding of fundamental statistical concepts (e.g. bias, variance, R-squared).
• Good understanding of the theory and practice of linear regression.
• Self-motivated and autonomous individual.
• Significant training and support will be provided; however, we expect a successful candidate to quickly take full ownership of their work and proactively make an impact in ODP.
• Strong interest in a career in finance or business.
• Excellent problem-solving ability and judgment.
• Experience with Git.
• Experience working with databases and using SQL.
• Good experience/knowledge of the finance sector.
• Proficient in web-scraping – at least with requests, ideally with selenium or other web-scraping packages.
• Advanced knowledge of time-series modelling or Bayesian statistics.
• Experience working with AWS.
• Experience creating visualisations with Power BI.

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