Oxford DataPlan
Data Scientist
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We are looking for a full-time data scientist to work with us on the following areas:
- Product deployment – creating, deploying, and maintaining new KPI trackers.
- Research – finding, collecting, and evaluating new data sources, developing new experimental product features for end-users, improving our methodology.
Reporting to the Data Science Manager you will:
- Write robust, commented scripts to collect, clean, process, and save data.
- Analyze data, build, validate, and test prototype models in Jupyter.
- Construct automated pipelines for moving and processing data between different sources.
- Produce data visualisations and dashboards in Python and/or PowerBI.
- Deploying new jobs using Docker and AWS technologies.
- Monitoring, debugging, and maintaining production code.
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To be successful in the role you should have:
- 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.
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Some experience working with:
- Databases and using SQL.
- Excel.
- Git.
Desirable skills
- Proficient in web-scraping – at least with requests, ideally with selenium or other web-scraping packages.
- Software development – experience in managing installable python packages is very valuable.
- Proficient SQL and database knowledge and experience.
- Advanced knowledge of time-series modelling or Bayesian statistics.
- Experience working with AWS.
- Creating visualisations with Power BI.
- Proficiency with Git.
- Experience/proficiency with Docker.
- Good experience/knowledge of the finance sector.
Applicants should be fluent in English and have an interest in Finance and Data Science.
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