Associate Data Scientist

ICF; United States; Remote; USD 45,000 - 67,000; Full time

Job summary

ICF поддерживает правительства и организации на глобальном уровне, работая над задачами в сфере энергетики, окружающей среды, авиации, здравоохранения и политики. Наша команда по данным сотрудничает с экспертами для превращения данных в практические решения клиентам в ЕС и по всему миру.

Вы присоединитесь к устоявшейся команде и будете участвовать в разнообразных проектах по анализу данных и ИИ. Вы будете работать под руководством опытных коллег: подготавливать данные, тестировать подходы,

Qualifications

• Практический опыт прикладной науки о данных: проекты, стажировка или коммерческая работа.
• Опыт работы с Python и инструментами анализа.
• Глубокие основы статистики и методов машинного обучения.
• Умение документировать данные и поддерживать воспроизводимый код; знание контроля версий.
• Умение ясно излагать мысли на английском языке как в письме, так и в устной форме.
• Степень или эквивалент в количественной или социальных науках.
• Опыт работы с государственными программами, исследованиями или оценкой политики.

Responsibilities

• Подготавливать данные и проводить их очистку и объединение.
• Тестировать аналитические подходы и развивать прототипы моделей.
• Сравнивать простые базовые методы и оценивать их точность и ограничения.
• Разрабатывать прототипы с учетом проблем и тестировать результаты.
• Готовить графики, краткие выводы и презентационные материалы.
• Объяснять работу коллегам и клиентам, с поддержкой наставников.
• Документировать код и обеспечивать воспроизводимость проектов.

Skills

Python

Statistics

Machine learning

Data visualization

Git

Cloud services

English communication

Public policy exposure

Large language models

Education

Relevant degree in quantitative or social science

Tools

Git

Cloud services

Data visualization tools

Job description

Задачи:

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. 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.

Требования:

• 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.

Условия:

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.

Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact [e-mail] for assistance.

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, 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)