Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

Insurance & Mobility Solutions
London
1 week ago
Create job alert

Company Overview


IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving - Safer. Smarter. Greener.


Description

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 plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation.

The Senior Data Scientist works closely with Product Managers, Software Engineers and other Data Scientists to ensure scalable, production-ready models that provide value to customers, insurers, and mobility partners. This position requires strong analytical skills, hands-on technical expertise, and a strategic mindset to solve complex problems using data science.

This position is a vital component of the business, and is responsible for:

Machine Learning & Predictive Analytics

Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection. Optimize 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. Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements.

Statistical Analysis and Data Modelling

Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure robustness and scalability of data science pipelines, minimizing bias and improving accuracy.

Data Engineering and Infrastructure

Collaborate with the rest of the Engineering team to integrate machine learning models into production-grade systems. Work with big data processing frameworks (Spark, AWS, Azure) to scale data pipelines. Ensure efficient data wrangling, transformation, and feature selection using Python, SQL, and distributed computing. Optimize data workflows and cloud-based machine learning architectures, ensuring efficiency and performance.

Collaboration and Cross-Functional Partnerships

Work closely with Product, Engineering, and Commercial teams to align data science initiatives with business goals. Collaborate with Software Engineers to deploy models via APIs, microservices, or cloud environments. Provide data-driven insights to Executive Leadership, helping shape strategic decisions. Engage with customers and partners, translating data science capabilities into real-world applications.

Research and Innovation

Stay ahead of emerging AI, ML, and data science trends, integrating innovative techniques into IMS solutions.


Contribute to research papers, patents, and industry collaborations, positioning IMS as a thought leader in data science.

Requirements


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


Essential:

+ 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 optimization. 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.

Desired

Experience in telematics, mobility, insurance, or IoT industries.  Knowledge of deep learning applications. 

Why should you join us? 


We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times!


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 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 recognize others using points. These points can be collected and redeemed against a huge catalogue of rewards
Plus More! 

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

Even if you do not meet all of the above criteria, please consider applying! If you have any questions, do not hesitate to get in touch with our HR team, at

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.