Data Scientist

Oxford Data Plan Ltd; Greater London; Hybrid; GBP 55,000 - 90,000; Full time

Job summary

Oxford Data Plan Ltd in London is seeking a full-time data scientist to help build KPI trackers, deploy models, and explore new data sources for end-users.

You will write robust data pipelines, analyze data in Python/Jupyter, build dashboards in PowerBI, and deploy jobs with Docker and AWS while ensuring production code is monitored and maintained.

Qualifications

• Proficiency in Python with ability to write reproducible code.
• Strong grasp of statistics: bias, variance, R-squared.
• Experience with data cleaning, pipelines, and visualization.
• Interest in finance and ability to work autonomously.

Responsibilities

• Write robust scripts to collect, clean, process, and save data.
• Analyze data, build and test prototype models in Jupyter.
• Create automated pipelines moving data between sources.
• Produce visualisations and dashboards in Python and PowerBI.
• Deploy new jobs using Docker and AWS.
• Monitor, debug and maintain production code.

Skills

Python

Statistical knowledge

Self-motivated

Autonomous

Finance interest

Tools

SQL

Git

Docker

AWS

PowerBI

Job description

We are looking for a full-time data scientist to work with us on the following areas:

1. Product deployment – creating, deploying, and maintaining new KPI trackers.

2. 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.