Senior Data Scientist

Manchester Digital; Crewe; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading technology and data analytics firm in the United Kingdom is seeking a Senior Data Scientist responsible for developing and implementing advanced data science models and machine learning algorithms. The role requires strong analytical skills and collaboration with Product Managers and Engineers to drive business insights. Qualified candidates will have 5+ years of experience and expertise in Python and machine learning. This position offers flexible working options and a commitment to professional development.

Benefits

Flexible remote working options

Flexible holiday scheme (unlimited vacation)

Employee Assistance Program

Funded training opportunities

Private Medical Insurance

Qualifications

• 5+ years of experience in data science, machine learning, or AI model development.
• Strong background in statistical modelling, probability theory, and mathematical optimization.
• Experience deploying machine learning models to production.

Responsibilities

• Develop and deploy machine learning models for risk scoring and fraud detection.
• Conduct exploratory data analysis to uncover trends and anomalies.
• Collaborate with Engineering team to integrate models into systems.

Skills

Python

Machine Learning

Statistical Modelling

SQL

Data Analysis

Collaboration

Education

5+ years of experience in data science

Tools

TensorFlow

PyTorch

Spark

AWS

Docker

Job description

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 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:

Responsibilities

• 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

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

Why should you join us?

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

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 [e-mail]

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