Lead Data Scientist - Senior Manager

Fa Etjb Saasfaprod1; Paris; On-site; EUR 90,000 - 140,000; Full time

Job summary

BIP is seeking a Lead Data Scientist - Senior Manager to guide the data science team in building advanced ML solutions and data-driven insights. You will shape our data strategy, drive innovation, and foster a culture of experimentation and excellence in France.

The role requires strong technical leadership, 6–8+ years in data science, and fluency in English and French, with a focus on delivering business value through data-driven decisions.

Qualifications

• Degree in Computer Science, Statistics, Mathematics, Engineering, or related field (PhD is a strong plus).
• 6–8+ years of experience in data science with a track record of delivering ML/AI projects.
• Proficient in Python or R and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Fluent in English and French; strong communication and leadership skills.
• Experience with big data frameworks and cloud platforms.

Responsibilities

• Guide the data science team and shape our data strategy.
• Design, develop, and deploy ML models and predictive systems.
• Partner with product and engineering to drive data-driven initiatives.
• Establish best practices for experimentation, deployment, and governance.
• Communicate results to executives and stakeholders.

Skills

Python

R

ML libraries

Big data

Spark

Hadoop

English & French

Education

PhD (strong plus)

Master's in CS/Statistics/Math/Engineering

Tools

Spark

Hadoop

AWS

GCP

Azure

TensorFlow

PyTorch

scikit-learn

Job description

Enter our world.

Transform with us.

Founded in 2003, BIP has gathered and enhanced the historical experience of consultancy and added two key ingredients: innovation and digitalization. Thanks to this path BIP is now over 6000 professionals, present in 13 countries, with over 4500 projects behind us and the most cutting-edge knowledge in Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT and all the Disruptive Technologies that we put at the service of every market sector.

We help our clients make the difference by creating quality on a large scale through a formula that operates on three levers: Value, People and Technology. We believe in the value of excellence, which is the compass on which we orient our actions. We adopt an ethical and loyal approach to those who choose to work with us, promoting an environment in which people can grow together, thanks to the contamination between different skills.

Role Overview

We are looking for a Lead Data Scientist - Senior Manager to guide our data science team in developing advanced machine learning solutions and data-driven insights. The ideal candidate will have strong technical expertise, proven leadership skills, and a deep understanding of how to leverage data to create business value. You will play a key role in shaping our data strategy, driving innovation, and fostering a culture of experimentation and excellence.

Key Responsibilities

• Support Business Development initiatives, working closely with cross-functional and international teams to ensure alignment on priorities, knowledge sharing, and scalability of solutions;
• Contribute to the potential setup and future growth of a structured data science team in France;
• Design, build, and deploy machine learning models, predictive algorithms, and recommendation systems;
• Partner with product, engineering, and business stakeholders to identify opportunities for data-driven innovation;
• Define and drive the technical roadmap and methodological approach for data science initiatives;
• Ensure model quality, scalability, and continuous performance monitoring;
• Communicate analytical results and complex concepts clearly and effectively to executives and non-technical stakeholders;
• Establish best practices in experimentation, documentation, reproducibility, and deployment;
• Act as a thought leader in advancing the company’s AI and data science capabilities.

Requirements

• Degree in Computer Science, Statistics, Mathematics, Engineering, or related field (PhD is a strong plus);
• 6–8+ years of experience in data science, with a proven track record of delivering impactful ML/AI projects;
• Strong proficiency in Python, R, or similar languages, and experience with ML libraries (scikit-learn, TensorFlow, PyTorch, etc.);
• Solid knowledge of machine learning algorithms, statistical modeling, NLP and/or computer vision;
• Hands-on experience with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure);
• Ability to translate complex business problems into data-driven solutions;
• Demonstrated experience managing technical teams and leading cross-functional projects;
• Fluent in English and French;
• Excellent communication and presentation skills .

Why Bip?

People at the center of our culture

Trust and collaboration, entrepreneurship and courage, meritocracy and development drive the growth of our people. Working at BIP is a challenging experience, where merit pays and innovation happens through courageous ideas, collaboration, and a trust relationship with our clients.

Challenging yourself

You will have the opportunity to test yourself in project contexts that are diverse in terms of scope, nature of activities and stakeholders involved. Your initiative, passion, autonomy, and ability to take responsibility and get involved will be enhanced.

Unlocking your potential

You will be able to participate in over 300 training courses to increase your skills in emerging technologies and business topics.

Work-life Integration

You will find a policy that supports AGILE work up to 100% of your time and encourages work-life integration.

Diversity & Inclusion

We value uniqueness and are committed to ensuring that all employees have an equal opportunity to contribute and express their full potential in the work environment.

Our approach todiversityandinclusionis based on the principles of ethics and integrity and is the determining factor for the development of broader horizons of personal and corporate growth.

We promote the inclusion and work integration of people belonging to protected categories - as regulated by Law 68/99 -.