Data Scientist / Mlops Engineer | Teletrabajo
Sci Serviclients
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Job summary
SCI Serviclients is seeking a senior data scientist in a remote-friendly Madrid role. You will work with experts to define problems, prepare data, and build models using Python and ML methods, including language models. You will present findings to clients and ensure reproducible results across multiple projects.
The role emphasizes strong communication, independent work, and collaboration with cross‑functional teams, with a focus on real‑world client impact.
Qualifications
- Degree in a quantitative field or related experience.
- Experience applying data science methods to real client problems.
- Proficiency in Python, ML libraries and SQL for data prep.
Responsibilities
- Define problems with clients and data needs, and choose analytical approach.
- Prepare data and develop models or prototypes using statistical methods and ML.
- Present findings to technical and non-technical audiences and iterate.
- Collaborate across teams to document work and ensure reproducibility.
- Contribute ideas and manage work across concurrent projects.
Skills
Education
Tools
Job 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.
- 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.
- 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.
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.
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.
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.
- 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.
- 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.
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.
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.
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.
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.
Our client, a pioneering technology firm at the forefront of artificial intelligence and emerging technologies, is actively seeking a highly skilled and innovative Ingeniero/a de Machine Learning Senior to join their fully remote team. This senior role is pivotal in developing and deploying advanced machine learning models that drive cutting‑edge solutions. The ideal candidate will possess a deep theoretical understanding of ML algorithms, extensive practical experience in implementing them, and a passion for tackling complex data challenges. You will work closely with cross‑functional teams, contributing to the entire ML lifecycle, from data preprocessing and model training to deployment and performance monitoring. This is a unique opportunity to shape the future of AI from anywhere, collaborating with a world‑class team and making significant contributions to impactful projects. We are looking for a proactive, creative, and results‑oriented individual ready to lead and mentor.
- 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.
- 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.
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 professional development and home office setup. Our client fosters a culture of innovation, collaboration, and continuous learning, empowering employees to achieve their full potential. Join a team that is shaping the future of AI from anywhere in the world.
Our client, a pioneering technology firm at the forefront of artificial intelligence and emerging technologies, is actively seeking a highly skilled and innovative Ingeniero/a de Machine Learning Senior to join their fully remote team. This senior role is pivotal in developing and deploying advanced machine learning models that drive cutting‑edge solutions. The ideal candidate will possess a deep theoretical understanding of ML algorithms, extensive practical experience in implementing them, and a passion for tackling complex data challenges. You will work closely with cross‑functional teams, contributing to the entire ML lifecycle, from data preprocessing and model training to deployment and performance monitoring. This is a unique opportunity to shape the future of AI from anywhere, collaborating with a world‑class team and making significant contributions to impactful projects. We are looking for a proactive, creative, and results‑oriented individual ready to lead and mentor.
- Design, develop and implement sophisticated machine learning models and algorithms.
- Conduct research into advanced ML techniques and their potential applications.
- Process, clean, and transform large datasets for model training and evaluation.
- Collaborate with data engineers and software developers to integrate ML models into production systems.
- Perform rigorous testing, validation, and performance monitoring of deployed models.
- Stay abreast of the latest research and industry trends in machine learning and AI.
- Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
- Communicate complex technical concepts and findings to both technical and nontechnical stakeholders.
- Optimize model performance for scalability, efficiency, and accuracy.
- Contribute to the overall AI strategy and roadmap of the company.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 7 years of professional experience in machine learning, with a proven track record of delivering impactful ML solutions.
- Expertise in programming languages such as Python, with extensive experience in ML libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).
- Deep understanding of various ML paradigms, including supervised, unsupervised, and reinforcement learning.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Strong analytical and problem‑solving skills, with the ability to work with complex data.
- Excellent communication and collaboration skills, essential for a remote team environment.
- Experience in MLOps, including model deployment, monitoring, and lifecycle management.
- Ability to lead projects and mentor team members.
- Passion for innovation and staying at the cutting edge of AI research.
Our client offers an exceptionally competitive salary and a comprehensive benefits package tailored for a remote‑first workforce. This includes a generous stock option plan, ample paid time off, and professional development allowances to support continuous learning and conference attendance. You will have the autonomy to manage your work schedule, fostering an ideal work‑life balance. We provide top‑tier health insurance and support for home office setup. This role offers unparalleled opportunities to work on groundbreaking AI projects with a highly talented and collaborative international team. Join us and be at the forefront of technological innovation in Inteligencia Artificial y Tecnologías Emergentes .
Nuesto cliente, WhatJobs Direct, está buscando un Ingeniero de IA y Machine Learning con talento y pasión por la innovación para unirse a su equipo de forma totalmente remota. Si eres un experto en el desarrollo e implementación de modelos de aprendizaje automático, y te apasiona resolver problemas complejos utilizando datos, esta es tu oportunidad. Trabajarás en proyectos de vanguardia que impactarán significativamente en nuestros productos y servicios. Buscamos a alguien con una sólida formación en ciencias de la computación, matemáticas o un campo relacionado, y con experiencia práctica en la construcción y despliegue de soluciones de IA. Este rol, con base en nuestra mentalidad remota‑first, te permitirá colaborar con equipos distribuidos globalmente desde Madrid o cualquier lugar, aportando tu visión y expertise.
- Diseñar, desarrollar e implementar modelos de Machine Learning y Deep Learning.
- Realizar la ingesta, limpieza y preprocesamiento de grandes volúmenes de datos.
- Entrenar, evaluar y optimizar modelos para mejorar su rendimiento y precisión.
- Desplegar modelos de IA en entornos de producción, asegurando su escalabilidad y fiabilidad.
- Colaborar con científicos de datos, ingenieros de software y stakeholders para definir requisitos y entregar soluciones.
- Investigar y aplicar las últimas técnicas y herramientas en IA y Machine Learning.
- Desarrollar pipelines de datos automatizados para el entrenamiento y la inferencia de modelos.
- Monitorizar el rendimiento de los modelos en producción y realizar ajustes según sea necesario.
- Documentar procesos, algoritmos y resultados de manera clara y concisa.
- Presentar hallazgos y recomendaciones a equipos técnicos y no técnicos.
- Contribuir a la cultura de innovación y conocimiento compartido dentro del equipo de IA.
- Máster o Doctorado en Informática, Inteligencia Artificial, Estadística, Matemáticas o un campo cuantitativo relacionado.
- Experiencia demostrable de 3+ años en desarrollo de modelos de Machine Learning y Deep Learning.
- Dominio de lenguajes de programación como Python y de librerías relevantes (TensorFlow, PyTorch, scikit‑learn, Keras).
- Experiencia sólida con bases de datos SQL y NoSQL.
- Conocimiento de técnicas de procesamiento de lenguaje natural (NLP) y visión por computadora.
- Experiencia en el despliegue de modelos (MLOps) y en plataformas cloud (AWS, Azure, GCP).
- Excelentes habilidades analíticas y de resolución de problemas.
- Capacidad para trabajar de forma remota, con excelente comunicación escrita y verbal.
- Residencia en Madrid o disponibilidad para trabajar de forma remota desde cualquier ubicación.
- Se valorará experiencia en computación distribuida (Spark).
Ofrecemos un salario altamente competitivo acorde con tu experiencia y el valor que aportarás, además de un paquete de beneficios superior. Disfrutarás de la flexibilidad total de un rol remoto, permitiéndote gestionar tu propio horario y lugar de trabajo. Tendrás acceso a oportunidades de desarrollo profesional excepcionales, incluyendo formación continua, asistencia a conferencias y participación en proyectos de investigación puntera. Serás parte de un equipo líder en IA, trabajando con tecnologías de vanguardia y colaborando con profesionales de talla mundial. La posibilidad de impactar directamente en el éxito de nuestros productos y la innovación de la empresa. Un ambiente de trabajo inclusivo, diverso y con una cultura centrada en el empleado.
Nuesto cliente, una potencia en Investigación y Desarrollo, busca un Investigador en IA y Machine Learning altamente cualificado para unirse a su equipo en Madrid, Madrid. Esta posición ofrece un modelo de trabajo híbrido, combinando la colaboración presencial con la flexibilidad del trabajo remoto. Serás parte de un equipo que explora las fronteras de la IA, desarrollando algoritmos y modelos novedosos con el potencial de transformar múltiples industrias. Si tienes una sólida base teórica y experiencia práctica en IA, y te motiva la investigación de vanguardia, esta es tu oportunidad.
- Llevar a cabo investigación de vanguardia en áreas de inteligencia artificial y machine learning.
- Diseñar, desarrollar e implementar nuevos algoritmos y modelos.
- Publicar los resultados de la investigación en conferencias y revistas de alto impacto.
- Colaborar con otros investigadores e ingenieros para aplicar los hallazgos en proyectos prácticos.
- Mantener un conocimiento profundo del estado del arte en IA y ML.
- Diseñar y ejecutar experimentos rigurosos para validar hipótesis.
- Prototipar soluciones basadas en las investigaciones desarrolladas.
- Mentorizar a investigadores y desarrolladores junior.
- Doctorado en Informática, Matemáticas, Física o un campo cuantitativo relacionado, con especialización en IA o Machine Learning.
- Historial demostrado de publicaciones en conferencias y revistas de prestigio (ej. NeurIPS, ICML, ICLR, CVPR).
- Experiencia práctica en el desarrollo e implementación de modelos de machine learning y deep learning.
- Dominio de lenguajes de programación como Python y de frameworks (TensorFlow, PyTorch).
- Profundo conocimiento de teoría de machine learning, optimización y estadísticas.
- Excelentes habilidades analíticas y de resolución de problemas.
- Capacidad para trabajar de forma independiente y en equipo.
- Habilidades de comunicación y presentación.
- Experiencia trabajando en un entorno híbrido en Barcelona, Catalonia.
Ofrecemos un salario muy competitivo, un paquete de beneficios integral y oportunidades excepcionales para el desarrollo profesional. Nuestro modelo de trabajo híbrido en Madrid, Madrid te proporciona un equilibrio entre la colaboración en equipo y la flexibilidad personal. Tendrás acceso a recursos de computación de alto rendimiento y a un entorno que fomenta la innovación y la creatividad. Participarás en proyectos que definen el futuro de la tecnología, trabajando junto a algunos de los mejores talentos del campo. Fomentamos una cultura de aprendizaje continuo y crecimiento.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com ( . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. **Job Function:** Data Analytics & Computational Sciences **Job Sub** **Function:** Data Science **Job Category:** Scientific/Technology **All Job Posting Locations:** Madrid, Spain **Job Description:** **About Innovative Medicine** Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at Summary J&J Innovative Medicine - Data, Data Science, and AI - Global Development (DDSAI GD) is seeking a Principal Data Scientist to lead end‑to‑end delivery of integrated analytical solutions for defined clinical‑development and trial‑operations business problems. This role owns solution definition, delivery, adoption, and use‑case outcomes across connected stakeholder groups using ML, GenAI, optimization, and RWD. **_Key Responsibilities_** + Own the end‑to‑end definition, development, validation, deployment, and adoption of integrated data‑science solutions for defined business problems. + Lead predictive modeling, simulations, optimization, and GenAI applications for study feasibility, enrollment forecasting, country and site selection, protocol design, and operational planning. + Apply clinical, operational, cost, and RWD‑in‑cluding EHR, claims, registries, and clinical‑trial data‑to generate evidence on patient populations, treatment pathways, feasibility, and operational risks. + Lead RWD analytics that inform protocol feasibility, eligibility criteria, recruitment and retention, study design, comparative evidence, and external‑control use cases. + Develop LLM‑enabled workflows for information extraction, protocol comparison, data harmonization, clinical‑concept interpretation, and targeted workflow automation. + Partner with clinical, operational, technology, and data stakeholders to frame questions, manage trade‑offs, and translate outputs into adopted recommendations and measurable use‑case outcomes. + Apply model‑validation, MLOps, documentation, privacy, data‑quality, and responsible‑AI standards; contribute reusable code, data assets, and technical patterns. + Communicate methods, model outputs, assumptions, limitations, and decisions clearly to technical and nontechnical audiences. + Mentor junior colleagues and strengthen delivery practices across project teams. **_Required Qualifications_** + Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred. + At least 5 years of industry experience leading end‑to‑end delivery of data‑science solutions using ML, predictive modeling, optimization, NLP, GenAI, or RWD analytics. + Demonstrated experience defining, validating, deploying, and driving adoption of analytical solutions that inform clinical‑development, clinical‑operations, or real‑world evidence decisions. + Hands‑on experience with structured and unstructured clinical, operational, or RWD data, including multimodal modeling and time‑series or simulation methods. + Proficiency in Python and SQL, modern ML, optimization, and LLM‑development libraries, and reproducible MLOps practices. + Strong communication, stakeholder‑management, and technical‑leadership skills. **_Preferred Qualifications_** + Experience in healthcare, pharmaceutical development, MedTech, clinical development, or clinical operations. + Experience applying RWD methods to clinical‑trial design, including target‑trial emulation, propensity methods, survival analysis, or time‑to‑event analysis. + Experience delivering analytical products or applications used by clinical or business teams. **Required Skills:** **Preferred Skills:** Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis **The anticipated base pay range for this position is:** 61,800.00 - 106,260.00 **Benefits:** In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well‑being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location's eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well‑being & career growth | Johnson & Johnson Careers. ( is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.
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