Senior Data Scientist - F/M at T.EN Career Site

Nanterre, Ile-of-France, France -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, Natural Language Processing, Cloud Computing, MLOps, Deep Learning, SQL, Azure, Python, Docker, Kubernetes, Data Pipelines, Collaboration

Industry

Engineering Services

Description

Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. We are currently seeking a Senior Data Scientist , reporting directly to Head of AI and Automation Hub to join our Data, New Tech and Software Engineering team based in Nanterre, Paris,France. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the mission we offer you: We are seeking a Senior Data Scientist with 5-7 years of experience to join our innovative AI team. This role offers the opportunity to work on cutting-edge artificial intelligence solutions across energy, infrastructure, and industrial applications. The ideal candidate will have a proven track record in GenAI, Computer Vision, and NLP, with hands-on experience deploying production-ready ML solutions in cloud environments. Technip Energies has been digitalizing for several years, has many building blocks to derive value from the Digital in the broadest sense and wishes to accelerate its digitalization by capitalizing on what has been done so far, setting an ambitious course for the next 5 years to better serve its customers, anticipate their needs and gain substantially in efficiency while taking advantage of new technologies. An evolution in the operating model has been performed recently, creating 1 new CDIO role (Management of Digital and Information Technology). CDIO launched a Digital Acceleration Plan. Phase 1 of the plan has been delivered, defining ambition of the Digital acceleration plan in terms of technology and expected business outcomes. Phase 2 is ongoing and includes the implementation of a new Product / Platform operating model within Digiteam. During this phase many initiatives are launched to build new products on Technip Energies segments “Project Delivery” as well as “Technology, Products Services”. The phase 2 also aims to reinforce the historically weak Enterprise Architecture discipline, enabling Coherence and Alignment from Strategy to Execution during the business digitalization roadmap. Main responsibilities: AI & Machine Learning Development • Design, develop, and deploy advanced GenAI and machine learning models for diverse applications. • Lead the development and continuous improvement of RAG (Retrieval-Augmented Generation) systems for complex document processing • Implement multi-agent workflows to solve complex business problems • Build , finetune and optimize LLM , computer vision models for defect detection, crack identification, and object segmentation in industrial imagery • Develop NLP pipelines for text classification, summarization, and information extraction using state-of-the-art LLMs Cloud Infrastructure & MLOps • Design and implement scalable cloud-based ML solutions on Azure • Deploy and manage ML services using Azure Kubernetes Service (AKS), Azure ML Studio, and containerized applications • Build robust data pipelines and processing frameworks • Implement MLOps best practices including model monitoring, data drift detection, CI/CD pipelines, and automated retraining Innovation & Research • Conduct research and experimentation on emerging AI technologies through internal lab initiatives • Generate synthetic data for various use cases including time series, tabular data, and images to enhance model training • Perform POCs and technology benchmarking to evaluate new tools, frameworks, and methodologies • Stay current with latest developments in GenAI, computer vision, and deep learning Leadership & Collaboration • Lead and mentor a team of 4-5 data scientists in an international, multicultural environment • Collaborate with cross-functional teams including engineering, product, and business stakeholders • Present technical findings and project outcomes to both technical and non-technical audiences • Contribute to knowledge sharing through presentations at industry conferences and internal workshops Starting Date: ASAP About you: We love to hear from you and how you match with this position. To be successful in this mission you should consider the following requirements: Education • Degree in Data Science, Artificial Intelligence, Computer Science, or related field Technical Experience • 5-7 years of hands-on experience as a Data Scientist or Machine Learning Engineer • Proven expertise in Computer Vision applications (object detection, segmentation, defect identification) • Strong background in Generative AI and Large Language Models (LLMs) • Experience with Natural Language Processing (NLP) including text classification and OCR • Demonstrated success deploying ML models to production environments Programming & Tools • Expert-level proficiency in LLM finetuning and optimization • Strong experience with deep learning frameworks: PyTorch, TensorFlow, Keras • Proficiency in computer vision libraries: OpenCV, Pillow • Working knowledge of SQL and experience with C# and angular is a plus • Familiarity with development environments: Jupyter Notebook, PyCharm, Visual Studio, Anaconda Cloud & Infrastructure • Hands-on experience with major cloud platforms: Microsoft Azure and Google Cloud Platform • Experience with ML platforms such as Azure ML Studio, Dataiku, or similar • Knowledge of containerization and orchestration (Docker, Kubernetes) • Understanding of MLOps practices and CI/CD pipelines Domain Knowledge (Optional but preferred) • Experience in energy sector, infrastructure, or industrial applications strongly preferred • Understanding of industrial monitoring, surveillance systems, or asset management • Familiarity with safety-critical applications and regulatory requirements is a plus Soft Skills: Ability to functionally manage people or mentor them Ability to communicate with stakehodlers on different levels in the organization Ability to influence Innovative and creative approach to problem solving is valued Your career with us Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, Graduate Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development. What’s Next? Once receiving your system application, our recruiting team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. We invite you to get to know more about our company by visiting www.ten.com and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates.

Responsibilities

The Senior Data Scientist will design, develop, and deploy advanced AI and machine learning models for various applications, including document processing and defect detection. They will also lead a team of data scientists and collaborate with cross-functional teams to present technical findings.