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Principal Data Scientist in Leeds

Energy Jobline ZR
Leeds
23 hours ago
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Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.


We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.


Job Description


Principal Data Scientist – Department for Transport


Apply before 11:55 pm on Tuesday 25th November 2025


Location: Birmingham, Leeds, London (Hybrid)


Salary: £57,515 (London Salary: £62,034 plus an additional allowance up to £25,543)


A Civil Service Pension with an employer contribution of 28.97%


Contract Type: Permanent – Flexible working, Full‑time, Job share, Part‑time


Roles available: 2


Top Responsibilities

  • Engaging with DfT stakeholders to identify high impact data science projects.
  • Planning, leading, and delivering high value data science projects, acting as the main customer link.
  • Carrying out technical work: machine learning and AI, automation, big data analysis tools and techniques, and cloud computing.
  • Building data science capability both within the team and across the DfT.

Benefits

  • Employer pension contribution of 28.97% of your salary.
  • 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days).
  • 8 Bank Holidays plus an additional Privilege Day to mark the King’s birthday.
  • Access to the staff discount portal.
  • Excellent career development opportunities and the potential to undertake professional qualifications relevant to your role paid for by the department, such as CIPD, Prince2, apprenticeships, etc.
  • Joining a diverse and inclusive workforce with a range of staff communities to support all our colleagues.
  • 24‑hour Employee Assistance Programme providing free confidential help and advice for staff.
  • Flexible working options where we encourage a great work‑life balance.

About you

  • Leading and delivering data science projects yourself and through others.
  • Engaging with stakeholders to understand their needs and identify where data science can improve decision making.
  • Building technical capability in the team and organisation.
  • Expert Python (or similar with a desire to develop Python knowledge).
  • Applied maths, statistics and scientific practices, including experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions.
  • Confidence using analytical approaches and interpreting data.
  • Experience inferring, predicting or forecasting using a variety of machine learning techniques; understanding of good practices in model development and deployment.
  • Experience identifying efficient and effective ways to use data science to tackle business and organisational challenges.
  • Experience promoting professional development by expanding data science knowledge and sharing best practice across departments/industry.
  • Experience presenting, communicating and disseminating data science products and findings.
  • Knowledge of data manipulation techniques to produce or improve data.
  • Use a range of data sources, analytical tools and techniques to develop and deploy robust data science solutions into the business.
  • Understands the ethical considerations of potential data science approaches, and the legislation applicable in this area, i.e. GDPR, DPA etc.

Additional Information

The role is part of the Government Digital and Data profession and utilises an enhanced Capability–Based Pay Framework which provides access to a Digital and Data allowance.


The base pay is £57,515 (£62,034 for London). In addition to this, the role includes a Digital and Data allowance of up to £25,543.


How to Apply

Read the full job description and apply at CS Jobs using the link provided.


This vacancy closes at 23:55 on Tuesday 25th November 2025


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