Data Science Data Science Data Modeler (Remote) in Banbury
Data Science Data Science Data Modeler (Remote)

Data Science Data Science Data Modeler (Remote) in Banbury

Banbury Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • 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: Experience in data analysis tools and strong statistical background required.
  • Other info: Enjoy a hybrid working model and opportunities for professional growth.

The predicted salary is between 36000 - 60000 £ 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 Data Modeler (Remote) in Banbury employer: Polaris Consulting & Services Ltd

As a forward-thinking organisation, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to make a meaningful impact in the community. With a strong focus on professional development, we offer extensive growth opportunities and a hybrid working model that promotes work-life balance, all while contributing to innovative solutions that enhance public safety. Join us at Polaris, where your expertise in data science will not only drive business success but also help create a safer and fairer world.
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Contact Detail:

Polaris Consulting & Services Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Data Science Data Modeler (Remote) in Banbury

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨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 can turn data into actionable insights that drive business value.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals, especially around data-driven decision-making.

✨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, we love seeing candidates who are genuinely interested in joining our mission.

We think you need these skills to ace Data Science Data Science Data Modeler (Remote) in Banbury

Data Analysis
Statistical Analysis
Data Visualization
SQL
Python
R
Tableau
Power BI
A/B Testing
Cohort Analysis
Data Governance
Cloud Data Platforms
AWS
Azure
Big Data Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Data Modeler role. Highlight your expertise in data analysis tools like SQL and Python, and don’t forget to mention any relevant projects that showcase your ability to drive business impact.

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for data and how you’ve used it to uncover insights or improve processes in previous roles. Keep it engaging and personal!

Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to deliver insights that influence business outcomes. Use metrics where possible to quantify your impact—numbers speak volumes!

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 dynamic team!

How to prepare for a job interview at Polaris Consulting & Services Ltd

✨Know Your Data Tools

Make sure you brush up on your skills with SQL, Python/R, and data visualisation tools like Tableau or Power BI. Be ready to discuss how you've used these tools in past projects to derive insights and drive business decisions.

✨Showcase Your Analytical Mindset

Prepare examples of how you've conducted A/B testing or cohort analysis in previous roles. Highlight specific instances where your data-driven recommendations led to measurable outcomes, like revenue growth or operational efficiency.

✨Understand the Business Impact

Research the company’s mission and how they leverage data to improve safety and fairness. Be prepared to discuss how your analytical skills can contribute to their goals and provide actionable insights that align with their vision.

✨Communicate Clearly

Practice translating complex data findings into simple, actionable recommendations. Remember, you’ll need to explain your insights to non-technical stakeholders, so clarity is key. Use storytelling techniques to make your points resonate.

Data Science Data Science Data Modeler (Remote) in Banbury
Polaris Consulting & Services Ltd
Location: Banbury
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