Principal Data Scientist

TieTalent

Birmingham

11 months ago

Applications closed

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About the Role

Do you want to use data to bring about the next generation of transport decision making?

Are you an experienced data scientist?

We’d love for you to apply! You will play an essential role in integrating data science into decision making within DfT, leading projects, and working with cross-disciplinary teams to develop innovative solutions like the Connectivity Tool, which assesses transport connectivity to support sustainable growth and policy decisions.

Key Responsibilities

Lead and deliver high-value data science projects, acting as the main liaison with stakeholders.
Contribute technically to the Connectivity Tool, providing creative solutions and evaluating approaches.
Maintain and enhance the Connectivity Tool’s data sources, exploring new data opportunities.
Advise on mathematical methodologies and lead solution discussions.
Promote data science capabilities within the team and across DfT.
Engage with stakeholders and contribute to reporting activities.

The Team

The Planning Team specializes in spatial and transport planning advice, working across DfT policy interests and collaborating with external bodies. They have been instrumental in shaping planning reforms and developing the Connectivity Tool, which aims to deliver significant societal and economic benefits.

Person Specification

Essential Experience:

Leading data science projects independently and through teams.
Engaging stakeholders to understand needs and improve decision making.
Building technical capability within teams.

Additional Skills:

Applied mathematics, statistics, experimental design, data analysis, hypothesis testing.
Proficiency in Python (and ideally Rust), front-end development (JavaScript, Svelte, C#).
Experience with cloud services (preferably GCP).
Machine learning techniques and deployment best practices.
Using data science to solve organizational challenges and promoting best practices.

Benefits

Salary: £54,867 plus £15,894 pension contribution. Benefits include generous leave, flexible working, and inclusive environment.

Nice-to-Have Skills

Python, Rust, JavaScript, Svelte, C#, GCP, Machine Learning, Birmingham location.

Work Experience

Data Scientist, Data Engineer.

Languages

English.

Additional Details

Seniority Level: Mid-Senior Level.

Employment Type: Full-time.

Job Function: Engineering and IT.

Industries: Technology, Information, Internet.

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