Data Science Manager (Remote) in Banbury

We provide software solutions that empower police forces and local authorities to enforce and track traffic and parking offences, manage permits and licenses, and control high-risk assets like firearms and tasers. We have expanded our reach both in the UK and internationally, acquired key companies like Farthest Gate, Clarity and JML Software Solutions, and invested heavily in our operations. Our goal is to build a data-driven, professionally managed organisation with robust systems and processes, poised for consistent growth and ready to seize new opportunities. We have united our legacy brands under the Polaris name, creating a dynamic new identity that reflects our vision for the future.

In this role, you will be contributing towards technology that helps our customers make the world safer and fairer:

• Partner with the business to dig into data, uncover actionable insights, quantify opportunities, and drive revenue or efficiency gains through analytics, storytelling, and data leverage.
• Collaborate with business stakeholders to identify high-impact opportunities where data can uncover insights, such as customer behaviour patterns, operational inefficiencies, or market trends.
• Perform advanced data exploration, statistical analysis, and visualisation to derive meaningful insights that inform business strategies and drive measurable value.
• Design and implement data pipelines, dashboards, and reporting tools to enable self-service access to insights across the organisation.
• Conduct A/B testing, cohort analysis, and hypothesis-driven investigations to quantify the business impact of data-driven recommendations.
• Develop frameworks for data governance, quality assurance, and ethical data usage to ensure insights are reliable and compliant.
• Mentor cross-functional teams on data literacy and best practices for leveraging data in decision-making processes.
• Stay ahead of industry trends in data analytics and advocate for innovative ways to monetise or optimise our data assets.

Requirements:

• Expertise in data analysis tools and languages (e.g., SQL, Python/R, Tableau/Power BI) for querying, manipulating, and visualising large datasets.
• Strong background in statistics, hypothesis testing, and exploratory data analysis techniques.
• Proven ability to translate complex data findings into clear, actionable business recommendations for non-technical audiences.
• Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies.
• 5+ years of professional experience in data science or analytics roles, with a focus on business impact rather than model deployment.
• Track record of delivering insights that have directly influenced business outcomes, such as revenue growth or cost savings, in data-rich environments.
• Experience in agile, collaborative settings at tech companies, consulting firms, or industries like e-commerce, finance, or healthcare.
• Prior work on large-scale data projects supporting cross-functional teams and executive-level decision-making.
• Background in handling unstructured data and deriving value from diverse sources like logs, customer interactions, or IoT streams.

Benefits:

• Market rate salary.
• 25 days annual leave.
• Life Assurance 4 x base salary.
• Private Pension with Scottish Widows.
• Health Care Cash Plan.
• Hybrid working model.

We consider all suitable candidates regardless of their age, sex, gender reassignment, race, religious beliefs (or lack thereof), marital status, disability, sexual orientation, or any other protected characteristic.