Hybrid Data Scientist (ML Ops & AI)

Hybrid Data Scientist (ML Ops & AI)

Full-Time 60750 - 74250 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deliver advanced data-driven solutions using AI and ML techniques.
  • Company: Join Transport for London, a leader in innovative transport solutions.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on responsible AI practices.
  • Why this job: Make a real impact on transport operations with cutting-edge AI technologies.
  • Qualifications: Experience in data science, ML models, and strong analytical skills.

The predicted salary is between 60750 - 74250 Β£ per year.

Transport for London (TfL) is seeking a Data Scientist to collaborate with senior data leaders and cross-functional teams to design and deliver advanced data-driven solutions, including AI and Generative AI techniques, across transport operations.

You will prepare and analyse diverse datasets, apply statistical methods and ML models, visualise findings for technical and non-technical audiences, and promote responsible AI practices within an evolving ML Ops framework.

Hybrid Data Scientist (ML Ops & AI) employer: Future of London

Transport for London (TfL) is an exceptional employer, offering a dynamic work environment that fosters innovation and inclusivity. With a strong commitment to employee growth, TfL provides opportunities for professional development while ensuring a healthy work-life balance through hybrid working arrangements. Employees enjoy generous benefits, including free travel on the TfL network, a final salary pension scheme, and a focus on equality, diversity, and inclusion, making it a rewarding place to build a meaningful career in the heart of London.

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Contact Details:

Future of London Recruitment Team

We think you need these skills to ace Hybrid Data Scientist (ML Ops & AI)

Communication Skills
Problem-Solving Skills
Python
SQL
Data Engineering
Attention to Detail
Automation