Insurance Mobility Solutions (IMS)
AI

Senior Data Scientist

Insurance Mobility Solutions (IMS) · London, ENG, GB

Actively hiring Posted about 1 month ago

Role overview

The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS.

This role has been created for an exciting new project where the Senior Data Scientist will have the opportunity to work directly with our insurance partners, drawing data driven insights from large-scale datasets and performing predictive analyses focused on driver safety. This role involves creating clear data visualisations, preparing and delivering impactful presentations to communicate key findings and recommendations.

The Senior Data Scientist will work cross-functionally to create scalable, production-ready models that provide value to customers, insurers, and mobility partners. This position requires strong analytical skills, hands-on technical expertise as well as excellent communication and presentation skills.

*Key Responsibilities

Machine Learning & Predictive Analytics**

  • Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection.

  • Optimise feature engineering, model performance, and real-time inference pipelines for large-scale datasets.

  • Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making.

What we're looking for

We know you will have a wide skill set, but to thrive in this role, we think you will need:

  • 5+ years of experience in data science, machine learning, or AI model development.

  • Expertise in Python, R, or Julia, with proficiency in pandas, NumPy, SciPy, scikit-learn, TensorFlow, or PyTorch.

  • Experience with SQL, NoSQL, and big data technologies (Spark, Hadoop, Snowflake, Databricks, etc.).

  • Strong background in statistical modelling, probability theory, and mathematical optimisation.

  • Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.).

  • Familiarity with AWS/GCP/Azure cloud ML platforms for scalable model training and inference.

  • Strong problem-solving, communication, and business acumen skills.

  • Flexible remote working options.
  • Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing.
  • 'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year!
  • Employee Assistance Program and an enhanced maternity/paternity package
  • We want to see you grow and do great things! We’re committed to your personal and professional development.
  • Funded training opportunities.
  • Auto-Enrolment Pension & Private Medical Insurance.
  • Cycle to Work and Car Maintenance Salary Sacrifice discounts!
  • Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points. These points can be collected and redeemed against a huge catalogue of rewards.
  • We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times!

  • Please note, while we accommodate a remote working environment. This role will involve periodic client visits in the London area.

All Offers of Employment with IMS are subject to reference, including Criminal Disclosure checks and role-specific background checks.

Tags & focus areas

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Fulltime Remote Machine Learning Data Science Ai