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About the Role
Join an established data science team and contribute to data science and AI work across varied client projects. Working with experienced colleagues, you will prepare data, test analytical approaches, help develop prototypes, and communicate findings. Gain exposure to the consulting process, learning how to translate complex client questions into practical analyses and communicate findings to diverse 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 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 work to colleagues and, with support, to clients and subject matter experts.
- Use feedback and code review to improve 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.
- Ability to explain thinking in clear written and spoken English.
- A relevant degree or equivalent practical experience in a quantitative or social science field.
Skills
- Python
- Statistics
- Machine learning
- Regression
- Classification
- Model evaluation
- Version control
- Collaborative development
- Large language models
- AI agents
- Git
- Cloud services
- Data visualization
- Presenting technical work to a non-technical audience
Location
- UK
- Belgium
- Spain
- Germany
- London
Work Type
- Hybrid
Experience Level
- Entry-level
Education Level
- Relevant degree or equivalent practical experience in a quantitative or social science field
Benefits
- Hybrid working policy
- Employee wellbeing hub
- Competitive recognition program ('You Matter')
- Single Private Medical Insurance cover
- Dental insurance
- Online GP service
- 25 days annual leave, plus UK bank holidays (increasing with service)
- Pension scheme with 5% employer contribution
- Life assurance (4x annual salary)
- Group Income Protection (66% of salary for up to 5 years)
- Enhanced parental leave policies
- Enhanced maternity pay
- Enhanced paternity pay
- Enhanced adoption pay
- Enhanced shared parental pay
About the Company
- ICF supports governments and organisations on challenges in areas such as energy, the environment, aviation, health, and public policy.
- Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day.
- 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 are committed to creating an inclusive workplace where everyone can thrive.
- We embrace our differences in ideas and identities.
- Our employees are empowered to share their expertise and collaborate to achieve personal and professional goals.
Equal Opportunity
- 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.
- The use of artificial intelligence (AI) tools to generate or assist with responses during interviews is not permitted.
- Accommodations for disability or religious purposes can be requested.
- AI accommodations can be requested by contacting candidateaccommodation@icf.com.