Head of Data Science and Machine Learning in Norfolk, Norwich

Head of Data Science and 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: Join 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: Collaborative culture focused on empathy, trust, and continuous improvement.
  • 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 required.

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 and 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 and a vibrant office in Norwich, employees enjoy 28 days of annual leave plus bank holidays, alongside ample training and development opportunities to enhance their careers. As the Head of Data Science and Machine Learning, you will lead a high-performing team while driving innovation in a rapidly growing company dedicated to optimising customer experiences and unlocking new revenue streams.

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Contact Detail:

Pikl Recruiting Team

StudySmarter Expert Advice🤫

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

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. Building relationships can lead to job opportunities that aren’t even advertised.

Show Off Your Skills

Create a portfolio showcasing your data science projects. Whether it’s a GitHub repo or a personal website, let your work speak for itself. This is your chance to demonstrate your hands-on experience with Python, R, and SQL!

Ace the Interview

Prepare for technical interviews by brushing up on your statistical modelling and machine learning techniques. Be ready to discuss how you’ve tackled real-world problems and how you can contribute to Pikl’s mission.

Apply Through Our Website

Don’t forget to apply directly 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 team.

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

Statistical Modelling
Machine Learning
Experimentation Techniques
Python
R
SQL
Data Exploration

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 experience in the insurance or travel sectors if applicable.

Showcase Your Leadership Skills:Since this role involves leading a team, make sure to highlight your leadership experience. Share examples of how you've mentored others or driven a data science strategy in previous roles. We love seeing candidates who can inspire and guide a team!

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 you’re keen on joining our team 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, especially in the insurance or travel sectors.

Showcase Your Leadership Skills

As a Head of Data Science, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've built high-performing teams, fostered a culture of experimentation, and aligned data science initiatives with business goals. Highlight your experience in managing end-to-end analytical processes.

Understand Pikl's Mission

Familiarise yourself with Pikl's mission to enhance digital marketplaces, particularly in vacation rentals. Think about how your expertise can contribute to their goals of optimising pricing and improving customer experiences. Showing that you understand their business will set you apart.

Prepare for Technical Questions

Expect to dive deep into technical discussions during the interview. Be ready to explain your approach to model development, performance monitoring, and data ethics. Practise articulating your thought process clearly, as this will demonstrate your analytical problem-solving skills and strategic mindset.