About the Role
ICF supports governments and organisations on challenges in areas such as energy, the environment, aviation, health and public policy. Our data science team works with subject matter experts to turn evidence and data into practical solutions for clients in the UK and EU. You will join an established team and contribute to data science and AI work across varied client projects. Working with more experienced colleagues, you will prepare data, test analytical approaches, help develop prototypes and communicate what the results mean. You will gain exposure to the consulting process, learning how to turn complex client questions into practical analyses and communicate findings to a range of audiences.
Responsibilities
•Work with data scientists and subject matter experts to understand project questions, available data and appropriate outputs.
•Clean, combine and explore datasets, write clear Python and document your assumptions and checks.
•Build and compare straightforward statistical or machine learning models, use suitable baselines and help evaluate accuracy, limitations and potential bias.
•Contribute to prototypes using methods suited to the problem, including language models where appropriate, and test outputs carefully before sharing them.
•Prepare charts, concise written findings and presentation material, explain your work to colleagues and, with support, to clients and subject matter experts.
•Use feedback and code review to improve your work, and contribute to reproducible project files and team knowledge sharing.
Requirements
•Hands-on experience applying data science through a project, research, internship or commercial work.
•Experience using Python gained through employment, an internship, research or substantial personal or academic projects.
•A grounding in statistics and common machine learning methods, such as regression or classification, and experience of training, testing and model evaluation.
•Care with data quality, documentation and clear, reproducible code, willingness to learn version control and collaborative development practices.
•Curiosity about real client problems, willingness to ask questions and ability to explain your thinking in clear written and spoken English.
•A relevant degree or equivalent practical experience in a quantitative or social science field.
•Exposure to public policy, government, research or evaluation.
•Hands-on exploration of large language models, including checking responses against source material; experience with AI agents is welcome but not required.
•Experience with Git, cloud services, data visualisation, collaborative projects or presenting technical work to a nontechnical audience.
What You'll Get
•You will learn from colleagues with a range of technical and subject expertise while contributing to complex, varied projects.
•Ongoing training, feedback and opportunities to deepen both your data science and consulting skills.
•As your experience grows, you will take on more responsibility in shaping and delivering solutions.
•Hybrid working policy, giving flexibility to collaborate in the office or work from home.
•Employee wellbeing hub offering personalised support across mind, body, finances, community, career programs and HR support.
•'You Matter' recognition program awarding points redeemable for vouchers and items, tax-free.
•Single Private Medical Insurance cover with no restrictions on existing conditions.
•Dental insurance and an online GP service.
•25 days annual leave, plus UK bank holidays (increasing with years of service).
•Pension scheme with 5% employer contribution.
•Life assurance paying 4x annual salary, and Group Income Protection paying 66% of salary for up to 5 years if off work on long-term sick leave.
•Enhanced parental leave policies, including maternity, paternity, adoption and shared parental pay.
Right to Work, Location & Sponsorship
We welcome applications from candidates based anywhere in the world. For roles located in the UK, Belgium, Spain, or Germany, applicants must hold the right to work in the country where the role is based, or be eligible for visa sponsorship (which may be considered on a case-by-case basis), and be physically present in that country by their first day of employment (or able to relocate beforehand). Unless stated otherwise, relocation support is not automatically provided.
Location: London (GB80)
