At a Glance
- Tasks: Transform data into actionable insights using advanced statistical tools and machine learning.
- Company: Join DVSA, a forward-thinking organisation committed to innovation and ethical data use.
- Benefits: Enjoy a competitive salary, generous pension contributions, and flexible working options.
- Other info: Great career growth opportunities and a supportive team environment.
- Why this job: Shape the future of data science while making a real impact on public services.
- Qualifications: Experience in AI, machine learning, and strong Python programming skills required.
The predicted salary is between 44241 - 62241 £ per year.
Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading.
Salary: £44,241 per annum
Vacancy Type: Permanent
Closing date: Tuesday 31st March 2026
Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here!
As a Senior Data Scientist, you will play a pivotal role in shaping analytical models that guide DVSA's future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You will also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools.
Joining our department comes with many benefits, including:
- 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 annual leave), plus 8 bank holidays and a privilege day for the King’s birthday.
- Flexible working options where we encourage a great work-life balance.
Your responsibilities will include, but aren’t limited to:
- Conceptualising and developing high-impact data science solutions.
- Writing and reviewing code using best practices from software development.
- Further developing and maintaining existing risk and demand models.
- Applying your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python.
- Identifying trends and patterns, turning them into actionable insights that support the development and improvement of services.
- Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff.
- Exploring and visualising data to uncover valuable insights.
- Offering recommendations that solve complex problems and empower strategic and operational decision making.
- Upholding the highest standards of ethical and appropriate data use.
Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most.
We’re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you’ll help shape and validate groundbreaking Innovation use cases.
Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public.
For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process.
Required Experience:
- Developing and deploying AI and data science solutions to tackle business challenges at pace.
- Inferring, predicting or forecasting using appropriate machine learning techniques.
- Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation.
- Quantitatively evaluating data science and AI solutions using novel designs and data sets.
- Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP).
- Continually promoting professional development and sharing best practices.
- Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff.
- Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc).
- Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills).
- Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM).
- A high level of competence in applied maths, statistics and scientific methods.
- Clear written and verbal communication.
- Ability to work autonomously on data science projects and as part of the team.
To Apply
If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
Senior Data Scientist in City of London employer: DVSA.GOV
Contact Detail:
DVSA.GOV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at DVSA on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data science techniques. Be ready to discuss how you've used machine learning and predictive analytics in past projects. Show them you're not just a data whiz but also a problem solver!
✨Tip Number 3
Practice your presentation skills! You’ll need to explain complex data insights to various stakeholders. Try explaining your past projects to friends or family to get comfortable with simplifying your findings.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at DVSA.
We think you need these skills to ace Senior Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used data to drive decisions or solve problems. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to highlight your relevant experience and skills that match the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing your expertise in Python and machine learning!
Be Clear and Concise: Keep your writing clear and to the point. Use straightforward language to explain your achievements and experiences. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need to complete your application smoothly.
How to prepare for a job interview at DVSA.GOV
✨Know Your Data Science Tools
Make sure you’re well-versed in the essential data science tools and libraries mentioned in the job description, like Python, NumPy, and Scikit-Learn. Brush up on your machine learning techniques too, as you'll likely be asked to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex business challenges using data science solutions. Think about how you’ve used predictive analytics or risk modelling to drive decisions and be ready to explain your thought process clearly.
✨Communicate Effectively
Since you'll be presenting findings to a range of stakeholders, practice explaining your work in simple terms. Use visuals if possible, and be prepared to answer questions from both technical and non-technical audiences.
✨Emphasise Ethical Data Use
Given the importance of ethical data practices, be ready to discuss how you ensure compliance with data protection principles like GDPR. Share any experiences where you’ve prioritised ethical considerations in your data science projects.