Remote Data Scientist – Ml For Crm & Recommendations

Metrica; Madrid; A distancia; EUR 68.000 - 83.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Flexible working hours

Remote‑first culture

Descripción de la vacante

ICF is seeking a Senior Remote Machine Learning Engineer to lead data science and AI initiatives across client projects. You will work with subject matter experts to frame questions, develop prototypes, and deliver findings that inform decisions for European and global clients.

You will apply Python, ML methods, and language models to real problems, while ensuring reproducibility and clear communication to both technical and non‑technical audiences.

Formación

• Hands‑on Python experience for data analysis and modelling.
• Strong grounding in statistics and ML methods including forecasting and evaluation.
• Familiarity with large language models in analysis or prototyping.
• Experience writing maintainable code with version control and testing.
• Ability to translate ambiguous questions into working demos and explain assumptions clearly.
• Clear written and spoken English; exposed to cross‑team collaboration.

Responsabilidades

• Collaborate with subject matter experts to understand project questions and data.
• Clean, combine and explore datasets; write clear Python; document checks.
• Build and compare statistical or ML models; establish baselines and evaluate bias.
• Prototype methods including language models; test outputs carefully before sharing.
• Prepare charts, concise findings and presentations for colleagues and clients.
• Contribute to reproducible project files and team knowledge sharing.

Conocimientos

Python for analysis

Statistics & ML

Language models familiarity

Version control & testing

English communication

Quant degree

Educación

Master's/PhD in CS/AI/Stats

Herramientas

TensorFlow

PyTorch

Scikit-learn

Cloud platforms (AWS/Azure/GCP)

Descripción del empleo

Description

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.

What you will do

• 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.

What you will bring

• 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.

Useful additional experience

• 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.

What you can expect

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.

Working at ICF

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 . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Madrid, Spain (ES01)

Description

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.

Working at ICF

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 . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Madrid, Spain (ES01)

Our client is looking for a highly accomplished Ingeniero de Machine Learning Remoto Senior to spearhead groundbreaking projects in Artificial Intelligence and Emerging Technologies. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a globally distributed team of experts. The successful candidate will play a pivotal role in designing, developing, and deploying sophisticated machine learning models that drive innovation and solve complex real‑world problems. We are committed to a remote‑first culture, providing all necessary resources and support for our team members to thrive professionally and personally, regardless of their location. This role is ideal for a self‑driven individual passionate about pushing the boundaries of AI.

About the Role

Our client is looking for a highly accomplished Ingeniero de Machine Learning Remoto Senior to spearhead groundbreaking projects in Artificial Intelligence and Emerging Technologies. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a globally distributed team of experts. The successful candidate will play a pivotal role in designing, developing, and deploying sophisticated machine learning models that drive innovation and solve complex real‑world problems. We are committed to a remote‑first culture, providing all necessary resources and support for our team members to thrive professionally and personally, regardless of their location. This role is ideal for a self‑driven individual passionate about pushing the boundaries of AI.

Key Responsibilities

• Design, develop, train, and deploy advanced machine learning models and algorithms.
• Collaborate with cross‑functional teams to define AI/ML project requirements and scope.
• Perform data preprocessing, feature engineering, and model evaluation.
• Optimize model performance for scalability, efficiency, and accuracy.
• Stay abreast of the latest research and advancements in AI and machine learning.
• Contribute to the development of AI infrastructure and MLOps pipelines.
• Mentor junior engineers and share expertise within the team.
• Communicate complex technical concepts to both technical and non‑technical stakeholders.
• Ensure ethical considerations and responsible AI practices are embedded in all projects.

Requirements

• Master's or Ph.D. in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of hands‑on experience in developing and deploying ML models in production environments.
• Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Solid understanding of statistical modeling, deep learning, and natural language processing.
• Excellent problem‑solving, analytical, and communication skills.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Proven track record of delivering impactful AI solutions.
• Experience with MLOps tools and best practices is highly desirable.

Benefits

As a remote‑first company, our client offers a highly competitive salary of up to 75000 euros annually, reflecting the seniority and expertise required for this role. We provide comprehensive health insurance, flexible working hours, and a generous budget for