Data Scientist
Location:
Krakow, PL
Employment type: Employee Place of work: Hybrid Offshore/Onshore: Onshore
TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as equal opportunities, inclusion, and authenticity. Bring your unique energy to our team of more than 21,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go.
Job Purpose
As a Data Scientist, you will work on clearly defined analytical use cases, preparing data, building and validating models, and contributing to their deployment in production. Collaborating with senior data scientists, engineers, and business stakeholders, you'll help translate data into actionable insights, drive efficiency improvements, and continuously build your technical and domain expertise.
Job Description
• Prepare, clean, and validate datasets to ensure high‑quality inputs for analysis and modeling. Perform exploratory data analysis (EDA) to identify trends, anomalies, and insights that guide solution design.
• Develop and evaluate statistical and machine learning models for well‑defined business problems.
• Implement, test, and validate models to ensure accuracy, robustness, and reproducibility.
• Support deployment of analytics and ML solutions in collaboration with data engineers and software developers.
• Monitor model performance and contribute to ongoing model maintenance and improvements.
• Translate analytical findings into clear, actionable insights for technical and non‑technical stakeholders.
• Document methods, assumptions, and results to support transparency and knowledge sharing.
• Collaborate closely with cross‑functional teams and incorporate feedback from senior data scientists.
• Contribute to a collaborative team environment and participate in knowledge-sharing activities.
You are meant for this job if:
• Bachelor or Master degree in Computer Science, Statistics, Engineering, Mathematics, or a related field.
• Strong English level, min. B2/C1
• 2–4 years of experience in data science, analytics, or a quantitative role.
• Proven experience building, testing, and evaluating statistical or machine learning models.
• Hands‑on work with real-world datasets, including cleaning, preprocessing, and feature engineering.
• Experience collaborating with cross-functional teams (engineering, product, business).
• Exposure to deploying analytics or ML solutions is a plus.
• Industry experience in energy, engineering, or industrial settings is welcomed but not required.
Technical Skills
• Strong programming skills in Python (and/or R) and working knowledge of SQL.
• Familiarity with key libraries such as pandas, numpy, scikit‑learn.
• Ability to perform EDA, model evaluation, and validation.
• Basic experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, Tableau).
• Experience with Git and collaborative development workflows.
• Exposure to cloud platforms, containers, or MLOps tools is an advantage.
Soft Skills
• Excellent communication skills, able to explain complex concepts clearly.
• Collaborative mindset and ability to work with diverse technical and business teams.
• Strong analytical thinking and a structured approach to problem-solving.
• Curiosity and commitment to continuous learning.
Please submit your CV in English.
The role requires being 4 days in a week in our Krakow office
Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes equal opportunities and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matter and we encourage you to add to our culture.
TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.
Learn more about TechnipFMC and find other open positions by visiting our Career Page.
Follow us on LinkedIn for company updates
Date posted: Mar 31, 2026 Requisition number: 17126