Head of Data Science & Machine Learning in Norfolk, Norwich

Head of Data Science & Machine Learning in Norfolk, Norwich

Norwich +1 Full-Time 80000 - 100000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data science strategy and develop machine learning models to optimise business performance.
  • Company: Pikl, a growing tech company revolutionising digital marketplaces with innovative insurance solutions.
  • Benefits: Flexible working, 28 days holiday, training opportunities, and vibrant office culture.
  • Other info: Join a people-first company that values empathy, trust, and personal growth.
  • Why this job: Make a real impact in a high-growth environment while leading a talented data team.
  • Qualifications: Strong experience in data science, Python/R expertise, and leadership skills.

The predicted salary is between 80000 - 100000 € per year.

About Pikl

Pikl is on a mission to enable the growth of digital marketplaces, starting with vacation rentals. We design and deliver insurance-enabled solutions that help platforms, property managers and owners unlock new revenue and deliver better customer experiences. Founded in 2016, we began by protecting individual hosts and homeowners with specialist holiday-let cover. With offices in Norwich and London, and plans for international expansion, we work with some of the most recognised brands in travel as well as major insurance aggregators.

The Head of Data Science will lead Pikl’s data science strategy, advanced analytics capability, and decision intelligence roadmap. This is a technical leadership role with a strong emphasis on hands-on model development and advanced analytics while building and scaling a high-performing, multidisciplinary team.

You will oversee the end-to-end development and deployment of machine learning models and predictive analytics, while also managing the Business Intelligence (BI) and Data Analysis functions. This is a high-impact role requiring a balance of rigorous technical execution and strategic leadership to ensure Pikl harnesses data to optimise pricing, enhance customer experiences, and support international expansion.

Technical Leadership & Data Science Execution
  • Apply statistical modelling, machine learning and experimentation techniques to real-world business problems.
  • Use Python, R and SQL for data exploration, feature engineering, modelling and evaluation.
  • Select appropriate techniques such as regression, tree-based methods, clustering, time-series analysis and experimentation.
  • Monitor model performance, manage iteration and refine approaches as data, markets and products evolve.
  • Build, mentor, and lead a team comprising Data Scientists, BI Analysts, and Data Analysts.
  • Define and own an enterprise-wide strategy that aligns advanced data science with core BI reporting and MI frameworks.
  • Champion a culture of experimentation, evidence-based decision-making, and continuous technical improvement across the data function.
  • Champion a commercial mindset ensuring technical development is tethered to clear business KPIs and Pikl’s core growth strategy.
  • Oversee the delivery of strategic dashboards and MI that empower stakeholders with clarity on business performance.
  • Support market expansion and operational scaling by providing analytical expertise and performance optimisation insights.
Data Infrastructure & Compliance
  • Partner with Engineering and Technology teams to ensure data pipelines and tooling to support scalable analytics and product development.
  • Drive best practices in data ethics, privacy, and quality assurance, ensuring compliance with regulatory standards.

Significant experience in hands-on data science roles, with strong grounding in statistics, machine learning and analytical problem-solving. Expert capability in Python and/or R, with strong SQL skills and experience working with complex datasets. Experience owning analytical problems end-to-end, from data exploration through to recommendation and impact. Demonstrated ability to provide technical leadership, mentoring and direction to other data scientists or analysts. Able to be in our Norwich office 2-3 days per week. Relevant academic or professional background in data science, mathematics, statistics, economics or a related field. Experience applying data science in insurance, travel, platform or marketplace businesses. Experience building or operating pricing, risk or decisioning models in production.

At Pikl, our values are the foundation on which our success is built. We put people first, building relationships rooted in empathy and trust. We unlock growth opportunities for our customers and each other yet make it our personal responsibility to own actions and see them through.

Flexible working conditions, access to an incredible in-person working space ~ Annual holiday entitlement of 28 days plus bank holidays ~ Training and development opportunities ~ Social events

Locations

NorwichNorfolk

Head of Data Science & Machine Learning in Norfolk, Norwich employer: Pikl

Pikl is an exceptional employer that prioritises a people-first culture, fostering relationships built on empathy and trust. With flexible working conditions, a vibrant office environment in Norwich, and a commitment to employee growth through training and development opportunities, Pikl empowers its team to thrive while driving innovation in the digital marketplace sector. Join us to lead impactful data science initiatives that not only enhance customer experiences but also contribute to our exciting international expansion.

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Contact Detail:

Pikl Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Science & Machine Learning in Norfolk, Norwich

Tip Number 1

Network like a pro! Get out there and connect with folks in the data science and machine learning space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, and SQL. Share your work on platforms like GitHub or LinkedIn to catch the eye of potential employers. We love seeing real-world applications of your expertise!

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with statistical modelling and machine learning techniques. Practice common interview questions and think about how you can demonstrate your leadership abilities.

Tip Number 4

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 Pikl and contributing to our mission of enhancing customer experiences in digital marketplaces.

We think you need these skills to ace Head of Data Science & Machine Learning in Norfolk, Norwich

Data Science Strategy
Advanced Analytics
Machine Learning
Statistical Modelling
Python
R
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Head of Data Science role. Highlight your experience with Python, R, and SQL, and showcase any hands-on model development you've done. We want to see how your skills align with our mission at Pikl!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to Pikl's growth. Don't forget to mention your leadership experience and how you can mentor a multidisciplinary team.

Showcase Relevant Experience:When detailing your past roles, focus on experiences that relate to insurance, travel, or marketplace businesses. We love seeing how you've tackled real-world problems using data science techniques, so be specific about your achievements!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us at Pikl!

How to prepare for a job interview at Pikl

Know Your Data Science Stuff

Make sure you brush up on your statistical modelling, machine learning techniques, and programming skills in Python, R, and SQL. Be ready to discuss specific projects where you've applied these skills to solve real-world business problems, as this will show your hands-on experience.

Showcase Your Leadership Skills

Since this role involves leading a team, be prepared to talk about your experience in mentoring and guiding others. Share examples of how you've built high-performing teams and fostered a culture of experimentation and evidence-based decision-making.

Align with Pikl's Mission

Familiarise yourself with Pikl’s mission and values. Think about how your experience in data science can contribute to their goal of enhancing customer experiences and supporting international expansion. This will demonstrate your genuine interest in the company and its objectives.

Prepare for Technical Questions

Expect to dive deep into technical discussions during the interview. Prepare to explain your approach to model development, performance monitoring, and how you handle complex datasets. Being able to articulate your thought process clearly will set you apart from other candidates.