Mobility ML Data Scientist — Hybrid (Manchester)

Mobility ML Data Scientist — Hybrid (Manchester)

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

  • Tasks: Develop innovative ML models and analyse mobility data for traffic insights.
  • Company: Join INRIX, a forward-thinking tech company in Manchester.
  • Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
  • Other info: Collaborate with global teams in a dynamic and supportive environment.
  • Why this job: Make a real impact on traffic solutions while working with cutting-edge technology.
  • Qualifications: Strong statistical background and proficiency in Python required.

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

INRIX, Inc. in Manchester is seeking a data scientist to join a hybrid office and home role.

You will develop innovative ML models and analyze mobility data to power traffic insights.

You'll build and maintain data pipelines in Databricks, explore production-grade ML, and communicate insights to stakeholders across the business.

A strong statistical background and Python proficiency are essential.

Collaborate with cross‑functional teams across time zones to deliver scalable solutions.

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Mobility ML Data Scientist — Hybrid (Manchester) employer: INRIX, Inc.

INRIX is an exceptional employer that fosters a collaborative and innovative work culture, allowing data scientists to thrive in a hybrid environment in Manchester. With a focus on cutting-edge machine learning techniques and real-world problem-solving, employees have the opportunity to make a significant impact on urban mobility while enjoying career development and a supportive team atmosphere. Join us to be part of a mission-driven company that values creativity and offers a chance to shape the future of smart cities.

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Contact Details:

INRIX, Inc. Recruitment Team

We think you need these skills to ace Mobility ML Data Scientist — Hybrid (Manchester)

Machine Learning
Data Analysis
Python Proficiency
Statistical Background
Data Pipeline Development
Databricks
Communication Skills