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.
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.
-
Some experience working with databases and using SQL.
Strong Excel skills.
Experience with Git.
Interest in finance.
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.
- Experience 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.
#J-18808-Ljbffr
