Data Scientist in Birmingham

Data Scientist in Birmingham

Birmingham Full-Time 48027 - 54751 £ / year (est.) Remote
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At a Glance

  • Tasks: Lead data science projects and deliver impactful insights for government decisions.
  • Company: Join the largest public procurement organisation in the UK, fostering innovation and collaboration.
  • Benefits: Enjoy a competitive salary, generous leave, and flexible working options.
  • Other info: Dynamic work environment with excellent career growth and professional development opportunities.
  • Why this job: Make a real difference by transforming public services through data-driven insights.
  • Qualifications: Degree in a numerate subject and experience with programming and data analysis.

The predicted salary is between 48027 - 54751 £ per year.

Band: 4

Salary: £48,027 - £54,751 (plus allowance up to £6,000 per annum depending on technical assessment)

Available Locations: Liverpool or Birmingham

Contract Type: Permanent

Hours: Full Time

Closing Date:

Interview Date(s): W/C 9th December (subject to change)

Ready to transform UK public services through data and drive key government decisions? Billions in public funds depend on data for efficiency and value, yet fragmented systems and poor data quality hinder insight. As a Data Scientist, you will modernise analytics infrastructure and deliver actionable insights across the Government Commercial Function (GCF) and Government Grants Management Function (GGMF). You will empower leaders, contracting authorities, and citizens to guide £160bn in grants and £400bn in procurement spend, ensuring transparency, value for money, and improved public services.

Job Summary

The Data Scientist sits within Data & Analytical Services, within our Reporting & Analytics Pillar. Our team exists to drive grants and commercial data transformation and deliver analytical solutions to internal teams, contracting authorities and citizens, enabling better decision-making and enhancing public transparency. We foster a supportive culture focused on innovation, professional growth, and technical expertise. Recent achievements include delivering new search capabilities within Find a Tender Service, developing new internal dashboards and measuring the impact of functional initiatives.

Key Accountabilities

  • Project Leadership: Leading data science projects by drawing on technical and analytical standards from across Government and industry;
  • Analysis & Insights: Scoping and leading proactive analysis and technical tasks on priority areas, creating data science products which achieve significant impact;
  • Data Services & Pipelines: Working with our digital team to map, produce, transform and test new data services, drawing on the most appropriate tools and techniques.
  • Analytics Products: Developing new analytics products to provide deeper insights to senior stakeholders based on a broad range of data sets;
  • Technical Expertise & Innovation: Providing technical expertise on how data science techniques can be used to drive more value from our data, and support the team in adopting innovative approaches and infrastructure;
  • Automation & Efficiency: Developing and automating processes to drive greater efficiency in analytical processes, and enabling the retirement of legacy products and infrastructure.
  • Ad-Hoc Delivery: Lead ad-hoc analytical projects to support strategic priorities;
  • Quality Assurance & Communication: Ensure that analysis is robust and communicated effectively.

Essential Criteria (to be assessed at application stage)

  • Qualification: Degree of minimum 2:1 in a numerate subject. Applied maths, statistics and data science. Proven capability to apply quantitative techniques (e.g. time series analysis, machine learning, natural language processing) and statistical tools to discover insights, build data science solutions, and support organisational decision-making.
  • Data engineering, programming, and build: Ability to write complex scripts (e.g. Python, R), apply testing methodologies, deploy code, and collaborate with data engineers and data analysts to design and deliver products.
  • Data ethics, privacy, and governance: Skilled in identifying and addressing ethical and privacy concerns, assessing policies, and ensuring compliance within the wider organisational context.
  • Delivering business impact and product delivery: Strong understanding of Agile/Waterfall delivery methods, defining minimum viable products, building data science capability, and communicating insights effectively to diverse stakeholders.

Success Profiles (to be assessed at interview)

  • Behaviours: Communicating and Influencing, Delivering at Pace, Making Effective Decisions
  • Technical: Applied maths, statistics and scientific practices - Lead success profile, Programming and build, Delivering business impact

Valuing our people:

  • Competitive salary
  • Generous pension scheme
  • A discretionary non-contractual performance related bonus
  • Working remotely in addition to working in advertised office location
  • Flexi time scheme (available for B1-B6)
  • Minimum 25 days annual leave to a maximum service related 30 days excluding bank holidays

The Civil Service is committed to attract, retain and invest in talent wherever it is found. Working flexibly, delivering outcomes GCA operates a smarter working model that balances flexibility with collaboration. Successful candidates are expected to spend at least 26 days per quarter (approximately 2 days per week, pro-rata) at their contracted office, another GCA site, or off-site for meetings. For the remainder of the time, you may work from home or another suitable location that meets business needs.

Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factual accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.

Selection Process

A reserve list may be held for up to 12 months, which the Civil Service may use to fill future suitably similar vacancies across government for candidates who are considered appointable following interview. Should you be placed on a reserve list and want to be removed. Please note that as part of this recruitment process, if you are unsuccessful at the interview stage but are close to the benchmark score you may be considered for and offered a role at a lower pay band within the same job family.

Working for the Civil Service The Civil Service Code sets out the standards of behaviour expected of civil servants.

Complaints Procedure Our recruitment processes are underpinned by the principle of selection for appointment on merit on the basis of fair and open competition as outlined in the Civil Service Commission’s Recruitment Principles details of which can be found at If you feel your application has not been treated in accordance with the Recruitment Principles, and you wish to make a complaint, you should contact in the first instance. If you remain unsatisfied with the response you receive you can then contact the Civil Service Commission at Internal candidates should apply using their Workday account. Please use the careers hub for your application.

Government Commercial Agency (GCA) We are the largest public procurement organisation in the UK. With over 800 staff, we help thousands of public and third sector buyers in the UK with billions of pounds of spending each year. We have a wide range of commercial agreements to help our customers buy what they need, when they need it - saving time and money.

Why join GCA? We offer fantastic benefits as well as career development opportunities, have an inclusive culture that values work-life balance and offers flexibility in how you work.

Data Scientist in Birmingham employer: Government Commercial Agency

At GCA, we pride ourselves on being an exceptional employer, offering a competitive salary and generous benefits including a robust pension scheme and flexible working arrangements. Our inclusive work culture fosters collaboration and innovation, providing ample opportunities for professional growth and development within a supportive team environment. Join us in making a meaningful impact on government-wide procurement while enjoying the unique advantages of working in vibrant locations like Liverpool, Newport, Norwich, Glasgow, or Birmingham.

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Contact Details:

Government Commercial Agency Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Birmingham

✨Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Government Commercial Agency.

✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Government Commercial Agency, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in Birmingham

Data Analysis
Machine Learning
Natural Language Processing
Python
R
Statistical Tools
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Government Commercial Agency, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Government Commercial Agency. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Government Commercial Agency

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Government Commercial Agency!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.