Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Scientist

Lear Corporation
Coventry
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientists

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

Location Code: 0580
#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.