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- Tasks: Uncover insights from data to drive business strategies and make the world safer.
- Company: Join a dynamic tech company focused on data-driven solutions for public safety.
- Benefits: Market rate salary, 25 days leave, life assurance, private pension, and health care cash plan.
- Why this job: Make a real impact by leveraging data to improve safety and efficiency.
- Qualifications: 5+ years in data science, strong skills in Python, SQL, and data visualisation tools.
- Other info: Hybrid working model with a focus on collaboration and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
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. 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.
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.
- 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.
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.
Data Science Data Science Senior Data Scientist (Python) (Remote) in Banbury employer: Polaris Consulting & Services Ltd
Contact Detail:
Polaris Consulting & Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote) in Banbury
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and visualisations. This is your chance to demonstrate how you've turned data into actionable insights that drive business impact.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can relate your past experiences to the role at Polaris, especially how you've influenced business outcomes through data.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission to make the world safer and fairer.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote) in Banbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Scientist. Highlight your experience with Python, data analysis tools, and any relevant projects that showcase your ability to derive insights from data. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data science and how you can contribute to making the world safer and fairer through your work. Keep it engaging and personal!
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made. Use specific examples of how your data-driven insights have influenced business outcomes, like revenue growth or operational efficiency. We love seeing measurable results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Polaris Consulting & Services Ltd
✨Know Your Data Tools Inside Out
Make sure you're well-versed in the data analysis tools mentioned in the job description, like SQL and Python. Brush up on your skills with Tableau or Power BI too, as you'll likely need to demonstrate your ability to manipulate and visualise large datasets during the interview.
✨Showcase Your Impact
Prepare specific examples of how your previous work has directly influenced business outcomes. Whether it’s revenue growth or cost savings, be ready to discuss how your insights have made a tangible difference in past roles. This will show that you understand the importance of data-driven decision-making.
✨Understand the Business Context
Familiarise yourself with the company’s mission and the sectors they operate in, especially around public safety and data governance. Being able to connect your data expertise to their goals will demonstrate your genuine interest and help you stand out as a candidate who can contribute meaningfully.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis, A/B testing, and exploratory data analysis techniques. Practise explaining complex concepts in simple terms, as you may need to communicate findings to non-technical stakeholders. This will showcase your ability to mentor others on data literacy.
