Data Scientist

ICF; United States; Remote; USD 45,000 - 79,000; Full time

Job summary

ICF ищет специалиста по данным для работы над задачами анализа и разработки AI‑решений в проектах с государственным сектором. Ваша работа будет сочетать общение с экспертами, построение моделей и прототипов, а также презентацию результатов и обоснований для клиентов и коллег.

Вы будете работать над формулировками вопросов, обработкой данных, верификацией выводов и документирования подходов, а также развивать решения, интегрируемые в предложения и проекты. Требуется знание Python/SQL, ML и англ.

Qualifications

• Hands-on Python for analysis and modelling with ML libraries.
• Ability to use SQL to extract, join and check data.
• Strong grounding in statistics and ML including forecasting and validation.
• Experience with large language models in analysis and prototyping.
• Experience working with public policy, government or research.

Responsibilities

• Define problems and success measures with subject matter experts.
• Prepare data, develop and evaluate models or prototypes.
• Present findings to technical and nontechnical audiences.
• Collaborate across disciplines to document work and enable reproducibility.
• Contribute ideas to proposals and manage several projects.

Skills

Python

SQL

Statistics

Machine Learning

Language Models

Stakeholder Communication

English

Education

Quantitative degree (e.g., CS/Math/Analytics)

Tools

Cloud Platforms

APIs

Data Pipelines

Version Control

Testing

Job description

Описание

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 help deliver data science and AI solutions across client projects, working with subject matter experts to frame questions, analyse evidence and deliver findings. This is a hands-on technical and consulting role: you will discuss needs with specialists, present approaches and results to varied audiences, and contribute to proposals. You will join an established team and work across technically diverse projects.

Задачи

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.

Требования

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. Experience working in public policy, government, research or evaluation. Experience in consulting, public policy research or client-facing delivery, familiarity with cloud platforms, APIs, data pipelines or deployment. Experience building AI agents or applications that connect language models to data and tools, such as retrieval-based systems. We can train someone with strong core skills.

Условия

You will work alongside colleagues with a wide range of technical and subject expertise, tackle varied client challenges from discovery to delivery. We will support your career development with ongoing training and opportunities to deepen both your technical and consulting skills.

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.

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ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting‑edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

Candidate AI Usage Policy At ICF, At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in‑person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodations that involve the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [e-mail]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Madrid, Spain (ES01)