Job Description

Senior Data Scientist
London
Contract
Competitive
PCD300002

The organisation 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.
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 the organisation. 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.
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.
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 (data-processing framework, public cloud platform) to scale data pipelines.
Ensure efficient data wrangling, transformation, and feature selection using Python, SQL, and distributed computing.
Optimise 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 the organisation’s solutions.
Contribute to research papers, patents, and industry collaborations, positioning the organisation 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:
5+ years of experience in data science, machine learning, or AI model development.
Expertise in Python, R, or Julia, with proficiency in data and machine-learning framework.
Experience with SQL, NoSQL, and big data technologies (data-processing framework, data and machine-learning framework, cloud data platform, cloud data platform, etc.).
Strong background in statistical modelling, probability theory, and mathematical optimization.
Experience deploying machine learning models to production (MLOps, containerisation tooling, container orchestration platform, etc.).
Familiarity with public cloud machine-learning platform 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 30 days per year!
Employee Assistance Programme 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!