Data Scientist in Stratford-upon-Avon

Data Scientist in Stratford-upon-Avon

Stratford-upon-Avon Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop machine learning models to solve real business challenges.
  • Company: Join NFU Mutual, a leading insurance and financial services provider.
  • Benefits: Up to £70,000 salary, annual bonus, generous leave, and health perks.
  • Other info: Hybrid working model with 80% remote work and excellent career growth opportunities.
  • Why this job: Make an impact with cutting-edge AI and analytics in a supportive team.
  • Qualifications: Experience in data science, Python, SQL, and strong analytical skills required.

The predicted salary is between 63000 - 77000 £ per year.

Work across customer, claims, strategy and underwriting challenges, developing machine learning models and working on GenAI use cases and insight projects to drive business value. Take ownership of varied analytical projects and build your career within an established and growing Data Science team. Hybrid 80% homeworking and 20% from Stratford Upon Avon.

As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with business stakeholders to understand challenges, translate them into analytical approaches, and deliver robust, production-ready solutions that create measurable value.

You’ll be part of a team of four Data Scientists, including a Lead Data Scientist, within the wider Data Science and Analytics team. You’ll manage projects from initiation through to delivery, including requirements gathering, solution design, quality assurance, stakeholder updates and presentation of outputs. Your work will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI / Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques.

You’ll build a detailed understanding of relevant datasets, apply robust statistical methods and model governance, and communicate findings clearly so stakeholders can act with confidence. You’ll also contribute to continuous improvement as technology, methods and the data landscape develop. This is a full time role based in Stratford Upon Avon, with 80% homeworking and 20% of your hours based at the office.

About you: You’re an experienced Data Scientist who combines commercial and customer focused thinking with a structured approach to delivery. You’re confident consulting with stakeholders, gathering requirements and presenting complex findings in a clear and accessible way. Comfortable working independently and collaboratively, you plan and prioritise effectively, take ownership of end-to-end projects and adapt your approach as needs, methods and technology evolve.

  • Extensive experience in data science, machine learning, advanced analytics or a related discipline, with experience managing analytical projects from initiation to delivery.
  • Strong Python and SQL skills, or significant R experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance.
  • Strong knowledge of statistical methods and experimental design, with experience designing, building and implementing machine learning solutions, particularly predictive models.
  • Experience with modern business intelligence platforms such as Power BI, Tableau or Qlik Sense is desirable though not essential.
  • Experience with unsupervised ML techniques such as clustering is desirable.
  • Cloud, basic data engineering and deployment experience is desirable including Git, continuous integration and delivery, automated testing and model deployment within platforms such as Azure, Snowflake or Databricks.
  • Experience mentoring and coaching Data Scientists or analysts, helping to develop technical capability and sharing best practice across the team.

Qualifications: A degree at Bachelor of Science level or higher in a quantitative subject such as Mathematics, Statistics, Physics, Economics, Computer Science or Data Science, or equivalent practical experience.

At NFU Mutual, we support an inclusive workplace and value all the differences that make us unique. We celebrate the creativity and innovation that comes from diverse perspectives and experiences and share a common vision of doing the right thing for our customers and employees.

Benefits and Rewards: When you join our team, you can expect a supportive culture and an attractive range of rewards and benefits including:

  • Salary up to £70,000 dependent on experience.
  • Annual bonus (up to 17.5% of salary).
  • Contributory pension scheme, up to 20%, including your 8% contribution.
  • 25 days annual leave + bank holidays + buy/sell/save holiday trading scheme.
  • A Family Friendly policy that helps you balance your work and family responsibilities.
  • Access to savings at High Street brands, travel and supermarkets.
  • £20 contribution to a monthly gym membership – subject to T&Cs.
  • Health and wellbeing plan- cashback for dentist, opticians, physio and more.
  • Access to voluntary benefits, including health assessments, private medical insurance and dental insurance.
  • Employee Volunteering - volunteering in the community for one day each year.
  • Unlimited access to Refer a Friend £500 bonus scheme.
  • Life Assurance cover of 4 x salary.
  • Employee discounts of 15% on a range of NFU Mutual insurance policies.
  • Salary sacrifice employee car scheme - subject to eligibility.

Working at NFU Mutual: We’re one of the UK’s leading general insurance and financial services organisations, and for over 110 years we’ve put our customers at the heart of everything we do. Our people are just as important to us, so we’re proud to be recognised as “a great place to work”.

Data Scientist in Stratford-upon-Avon employer: NFU Mutual

NFU Mutual is an excellent employer that values collaboration and innovation, offering a hybrid work model that allows for 80% homeworking. With a strong focus on employee development and a supportive work culture, team members are encouraged to grow their skills in data analysis and coding while making a real impact on customer outcomes. The Stratford-upon-Avon office provides a vibrant environment where employees can connect with colleagues across various departments, enhancing both professional and personal growth.

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Contact Details:

NFU Mutual Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Stratford-upon-Avon

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NFU Mutual!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at NFU Mutual.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NFU Mutual.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at NFU Mutual, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in Stratford-upon-Avon

Python
Problem-Solving Skills
SQL
Automation
Data Governance
Data Pipeline Development
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at NFU Mutual, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NFU Mutual. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at NFU Mutual

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NFU Mutual!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.