Senior Data Scientist

Lear; Coventry; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global automotive technology leader in Coventry is seeking a Senior Data Scientist. The ideal candidate will have over 5 years of experience in data science, proficiency in Python and ML, and a Master's or PhD in a relevant field. The role involves leading data science projects, mentoring juniors, and collaborating across teams to develop scalable solutions. This company values diversity and offers great work opportunities.

Benefits

Competitive Salary

Access to Learning and development opportunities

Opportunities to give back to the community

Qualifications

• 5+ years of experience in data science or ML.
• Strong leadership and mentoring ability on technical subjects.
• Excellent business and technical communication skills.

Responsibilities

• Develop end-to-end Data Science Projects.
• Work cross-functionally with business stakeholders.
• Collaborate with other senior data scientists.

Skills

Leadership in data science

Machine Learning

Deep Learning

Python

Data Engineering

MLOps

SQL

Data visualization

Education

Master’s or PhD in Computer Science, Statistics, Engineering

Tools

TensorFlow

PyTorch

AWS

Azure

Spark

Hadoop

Power BI

Tableau

Job description

Senior Data Scientist

Coventry, UK

Company Overview

Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Lear’s diverse team of talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks 189 on the Fortune 500. Further information about Lear is available at lear.com or on Twitter @LearCorporation.

Position overview:

We are seeking a Senior Data Scientist with a strong background in data collection and analysis, as well as advanced machine learning, deep learning knowledge. This role requires leading data science projects from conception to deployment, mentoring junior team members, and collaborating with stakeholders across departments. Expertise in Python, data engineering pipelines, MLOps, and production-grade model deployment is essential.

Main Missions:

Model development and deployment:

• Develop end-to-end Data Science Projects with clear, actionable insights identified (from data ingestion to model deployment in production environments).
• Drive the initiatives from ideation to design, building and deploying scalable models, deep learning architectures, defect detection, and NLP solutions.

Collaboration:

• Work cross-functionally with business stakeholders to define project scope, objectives, and success metrics, translating business needs into solutions.
• Define, along with the project manager and stakeholders’ input, the key technical success criteria for the solution and business process
• Collaborate closely with the Data & Digitalization team to make sure there is an overall data strategy defined.
• Partner with data engineering and Foundry teams to design scalable data pipelines.
• Ensure adherence to data quality standards. Compliance to applicable security regulation, data privacy laws, EU-AI intelligence Act and other applicable according to the region where the solutions are developed and deployed.

Leadership and Mentorship:

• Collaborate with other senior data scientists and mentor junior data scientists by providing technical guidance, defining necessary training to close skill gaps and supporting them during the development of their solutions.
• Lead technical reviews and guide best practices in data science methodologies

Innovation:

• Drive experimentation and model performance improvements.
• Stay up to date in the latest technologies in ML and AI
• Propose AI innovation projects that could solve observed business current challenges

Key Skills and Qualifications:

Required Qualifications :

• Master’s or PhD in Computer Science, Statistics, Engineering, or related field.
• 5+ years of experience in data science or ML.
• Strong leadership and mentoring ability on technical subjects.
• Excellent business and technical communication skills.
• Strategic mindset with hands-on capability.
• Proven experience as a Senior Data Scientist or Lead Data Scientist.
• Proficiency in Python, R, SQL, and cloud platforms (AWS/Azure).
• Hands-on with TensorFlow, PyTorch, or similar frameworks.
• Experience in MLOps and scalable deployment.

Preferred Qualitfications :

• Experience with big data tools (Spark, Hadoop).
• Familiarity with business intelligence tools like Power BI or Tableau.
• Published research or patents in AI/ML.

Why Lear

We offer a fantastic place to work that embraces diversity, opportunities for growth and the chance to be part of a company that puts its people first.

What We Offer

• Competitive Salary,
• Access to Learning and development opportunities.
• Opportunities to give back to the community.
• Meaningful work that makes a difference in the world

#LI-KE1

Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.

Applicants must submit their resumes for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.