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About the Role
This is a hands-on technical and consulting role where you will help deliver data science and AI solutions across client projects. You will work with subject matter experts to frame questions, analyze evidence, and deliver findings, discussing needs with specialists, presenting approaches and results to varied audiences, and contributing to proposals.
Responsibilities
- Speak with subject matter experts and clients to define the problem, success measures, data needs and an appropriate analytical approach.
- Prepare and analyse data, develop and evaluate models or prototypes using statistical methods, forecasting, machine learning or language models where suitable.
- Present findings, assumptions and limitations to subject matter experts, clients and nontechnical audiences, invite challenge and adapt the work to their feedback.
- Collaborate with colleagues across different technical disciplines to document work, make results reproducible and develop promising prototypes into reliable solutions.
- Contribute technical ideas, estimates and evidence to proposals, and manage your work across several concurrent projects.
- Share methods and reusable approaches with colleagues across the data science team.
Requirements
- Hands-on experience in Python for analysis and modelling, including common data and machine learning libraries.
- Ability to use SQL to extract, join and check data.
- Sound grounding in statistics and machine learning, including regression or classification, forecasting, validation, baseline comparisons and appropriate performance measures.
- Practical familiarity with using large language models in analysis or prototyping, including prompting, checking outputs against evidence and recognising privacy, accuracy and reliability risks.
- Experience preparing imperfect data, building reproducible analyses and writing maintainable code with version control and testing.
- Ability to take an ambiguous question from discovery to a working demonstration, explain assumptions and uncertainty, and judge whether a solution is worth developing for operational use.
- Confidence working independently and engaging stakeholders across teams.
- Clear written and spoken English for technical and nontechnical audiences.
- A relevant degree or equivalent practical experience in a quantitative field.
Skills
- Python
- SQL
- Statistics
- Machine Learning
- Large Language Models
- Version Control
- Testing
Location
- London
Work Type
- Hybrid
Experience Level
- Entry level
Education Level
- Degree or equivalent practical experience in a quantitative 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, paternity, adoption, and 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.
- 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.
Equal Opportunity
- We are committed to creating a culture where we embrace our differences in ideas and identities.
- We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.