Senior Data Scientist

Verkor is hiring a Senior Data Scientist in Grenoble, France. Level rates it ; you can apply on Verkor.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch and Databricks.
Level classifies it as a senior role.
Level lists 38 other open roles at Verkor.

AI in this role

PyTorchDatabricks

Verkor is a French industrial company aiming to pioneer low-carbon battery manufacturing in France. With the backing of prominent industrial companies such as Renault Group, Plastic Omnium and Schneider Electric, Verkor intends to electrify the future of European mobility. With over 1100 experts from 53 different countries, our endeavor is to unite exceptional global talent to bring this ambitious and innovative project to life. Our strong and agile international team continues to grow and adapt to new challenges. Based in Grenoble and Dunkirk (France), we have started operations our Verkor Innovation Centre (R&D centre and 4.0 pilot line) which is now fully running and operational. We now focus on enabling the successful start of production of our Gigafactory in Dunkirk (France). With this facility, our ambition is to ramp-up mass production of low carbon lithium ion batteries to facilitate the decarbonization of European mobility.
The senior data scientist is responsible for turning data into insights, predictions and decision-support models that help the business reduce uncertainty, improve performance and scale decision making. As senior, he/she is responsible to derive KPI’s aligned to business strategy, focus on translating the business problems, into analytical questions and build data driven solutions.

Main Responsibilities :

Turns business questions into analytical and data science problems

Defines success metrics and evaluation criteria aligned with business outcomes

Analyze and explore structures and unstructured data to identify patterns, trends and anomalies

Build production grade automation workflows

Assess data quality, completeness, bias and limitations

Identify additional data sources needed to improve analysis or models

Perform data transformation for modelling purposes

Model development and validation

Interpret model results and analytical findings in business terms

Communicate findings clearly to non-technical stakeholders

Document assumptions, limitations and risks of the model
Works with operators and production/quality technicians to understand objectives, constraints and decision needs
Work with data engineers /Digital team to operationalize data preparation when needed.
Works with data scientists and CAE experts to understand the value of the project and how it links with the roadmap.

Prerequisites :

8 - 11 yrs of Experience

Masters or PhD in Data science/ Applied mathematics/Statistics

Experience working with large-scale data sets in an industrial environment

Strong fundamentals of linear algebra, Calculus, probability and statistics.

Solid understanding of distributed systems concepts, data partitioning and parallel processing

Hand-on experience using databricks for data exploration, analysis, feature engineering and model training

Strong proficiency in Apache spark (dataframes, SQL, ML lib concepts), for large scale data processing, with hands-on experience in distributed model training using Pytorch or tensor flow.

Databricks notebooks (Python/SQL)

Experience in Knowledge Graph a plus

Strong proficiency in pandas and numpy for exploration, feature engineering and analytical workflows

English & French are both mandatory

Why join us? Strong company spirit and culture settle down around our 4 values: Contribution We promote personal initiative and give everyone the means to contribute to the company's success. Communication We're committed to transparent communication: we say what we think, and we mean what we say. Team Spirit Everyone, in their role, is an ambassador for the company. At Verkor, success is most definitely a team sport! Commitment We're all working towards a common goal: a sustainable future, which we're building one step at a time. Attractive work conditions* - Stimulating work environment: pleasant offices, multicultural and motivated team - Lunch vouchers - 50% of local transportation costs financed - Industry-leading healthcare - Opportunities to network and connect with worldwide experts For more info on the company, please visit us at www.verkor.com *all positions are open to individuals possessing a Recognition of the Status of Disabled Worker (RQTH)

How we rate this

Senior Data Scientist at Verkor rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist is an open job at Verkor.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Grenoble, Auvergne-Rhône-Alpes.
The job was posted on September 16, 2026.
Seniority: senior.
Applications are handled by Verkor. Apply on Verkor

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchDatabricks

Also common in data scientist jobs at this level

Machine learning LLM Generative AI AWS Deep learning NLP

Pay

Typical data scientist job: $168k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

What's a project where you used PyTorch hands-on?
Walk me through how you've used Databricks in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: PyTorch and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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