Senior Data Scientist 197153

Harnham; Leicester; On-site; GBP 65,000 - 75,000; Full time

Benefits offered by this job

Bonus

Car allowance

Job summary

Harnham in Leicester is seeking a data-driven professional to build and deploy advanced machine learning solutions that support pricing and risk decision-making.

You will own the ML lifecycle from exploration to deployment, craft features for pricing algorithms, and collaborate with Data Scientists, Engineers, and business stakeholders.

The role requires strong Python/SQL skills, Azure ML, Git, and the ability to translate complex concepts for non-technical audiences.

Qualifications

• Strong commercial experience delivering ML projects from exploration through deployment.
• Advanced Python and SQL skills.
• Experience with Azure Machine Learning, Azure cloud technologies, and Git.
• Proven ability to communicate technical concepts to stakeholders.
• Experience working across multidisciplinary data and analytics teams.
• Strong problem-solving and ability to deliver high-quality analytical solutions.

Responsibilities

• Develop predictive models for risk, claims outcomes, fraud detection, and key business metrics.
• Create and maintain analytical tools for portfolio management and commercial performance.
• Identify, evaluate, and extract value from new data sources.
• Engineer new features and rating factors to enhance pricing algorithms.
• Manage the full ML lifecycle from exploration to deployment, monitoring, and refresh."
• Collaborate with Data Scientists, Data Engineers, Analysts, and stakeholders to translate challenges into solutions.
• Explore emerging ML techniques and assess their commercial applications.

Skills

Python

SQL

Machine Learning

Azure Machine Learning

Azure cloud

Git

Stakeholder communication

Multidisciplinary teamwork

Problem solving

Tools

Azure Machine Learning

Azure cloud

Git

Job description

Leicester | Competitive Salary up to £75,000 + Bonus + Car Allowance

This is an opportunity to join a highly data-driven organisation where pricing, analytics, and machine learning sit at the heart of business strategy. You will work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial performance, while helping to shape the next generation of predictive modelling capabilities.

The Company

They are a well-established consumer-focused organisation undergoing significant investment in data, analytics, and technology. With a strong emphasis on innovation, they use advanced machine learning and predictive modelling to support strategic decision-making and deliver better customer outcomes.

Their analytics community brings together Data Scientists, Analysts, and Data Engineers who collaborate to solve complex business challenges. They foster a culture of curiosity, continuous improvement, and knowledge sharing, creating an environment where new ideas are encouraged and valued.

The Role

You will play a key role in building and deploying advanced machine learning solutions that support pricing and risk decision-making.

Responsibilities include:

• Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics.
• Creating and maintaining analytical tools that improve portfolio management and commercial performance.
• Identifying, evaluating, and extracting value from new internal and external data sources.
• Engineering new features and rating factors to enhance existing pricing algorithms.
• Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities.
• Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into impactful solutions.
• Exploring emerging machine learning techniques and assessing their commercial application.

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from initial exploration through to deployment and ongoing optimisation.
• Advanced Python and SQL skills.
• Experience with Azure Machine Learning, Azure cloud technologies, and Git.
• Proven ability to communicate technical concepts to a range of stakeholders and influence decision-making.
• Experience working across multidisciplinary data and analytics teams.
• Strong problem-solving capabilities and a track record of delivering high-quality analytical solutions.
• An interest in applying innovative data science techniques to real-world business challenges.