Associate Data Scientist

ICF International; Greater London; Remote; GBP 35,000 - 52,000; Full time

Job summary

ICF, a global consulting firm, is seeking a data scientist to join a collaborative team in the UK. You will prepare data, test analytical approaches and help develop prototypes, while communicating results to colleagues and clients.

The role focuses on building trustworthy models, evaluating accuracy, and presenting clear findings. You will learn through exposure to varied client projects and contribute to reproducible project work.

Qualifications

• Hands-on data science experience from projects, internships or research.
• Solid grounding in statistics and ML methods such as regression or classification.
• Care with data quality, documentation and reproducible code.

Responsibilities

• Understand project questions, data and outputs with the team.
• Prepare data, test approaches and develop prototypes.
• Communicate findings clearly to colleagues and clients.
• Build charts and concise written findings for stakeholders.
• Collaborate and review code to improve reproducibility.

Skills

Python

Statistics

Machine learning

Data cleaning

Version control

Education

Quantitative degree

Tools

Git

Cloud services

Data visualization

Job description

The opportunity

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.

What you will do

• 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.

What you will bring

• 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.

Useful additional experience

• 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 can expect

You will learn from colleagues with a range of technical and subject expertise while contributing to complex, varied projects. We will support your career development through 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.

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 we may consider 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.

About us:

Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe.

We believe in collaboration, mutual respect, open communication, and opportunity for growth.

We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive.

We are committed to creating a culture where we embrace our differences in ideas and identities.

Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals.

Learn more about what we do and our commitment to inclusion .

The benefits of joining ICF:

Our people at ICF are our most important asset, so we invest in them from the moment they arrive. When you join our