At a Glance
- Tasks: Lead data science strategy and develop predictive models to optimise pricing and enhance customer experiences.
- Company: Pikl, a dynamic company revolutionising digital marketplaces with innovative insurance solutions.
- Benefits: Flexible working, 28 days holiday, wellbeing services, and training opportunities.
- Other info: Join a culture that values curiosity, empathy, and continuous improvement.
- Why this job: Make a real impact in a high-growth environment while leading a talented data science team.
- Qualifications: Hands-on experience in data science, strong skills in Python, R, and SQL.
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. That experience now powers our insurance-enabled products, which increase participation, lift conversion and drive revenue across the marketplace value chain: platforms, homeowners and guests. 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.
About the role
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.
Key Responsibilities
- Technical Leadership & Data Science Execution
- Design, build and deploy predictive models, pricing algorithms, and segmentation frameworks.
- 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.
- Ensure models are robust, interpretable and suitable for use in regulated decision-making.
- Monitor model performance, manage iteration and refine approaches as data, markets and products evolve.
- Strategy & Functional Leadership
- 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.
- Cross-Functional Collaboration & Decision Support
- Act as a key technical partner to Pikl’s Exec Team and Underwriting, Pricing, Product, and Finance functions to provide actionable decision-support solutions.
- 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.
About you
- 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.
- Strong communication skills, with confidence engaging senior stakeholders and executive leadership.
- Highly analytical, commercially aware and pragmatic, with sound judgement and decision-making ability.
- Able to be in our Norwich office 2-3 days per week.
Desirable but not essential
- 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.
- Background in startups, scaleups, MGAs or digitally-led regulated environments.
- Experience building or operating pricing, risk or decisioning models in production.
Our Values
At Pikl, our values are the foundation on which our success is built. They guide how we work together, how we make decisions for customers and colleagues, and what we recognise and reward.
- Possibility: We think big and are fearless in turning challenges into opportunities. We stay curious, test ideas and learn quickly.
- People: We put people first, building relationships rooted in empathy and trust. We respect, include, and learn from one another. We celebrate progress.
- Progress: We unlock growth opportunities for our customers and each other yet make it our personal responsibility to own actions and see them through.
Why work at Pikl
- Flexible working conditions, access to an incredible in-person working space.
- Support from an awarding-winning CEO & Founder.
- Annual holiday entitlement of 28 days plus bank holidays.
- 35 hour working week.
- Death in service scheme.
- Access to wellbeing services.
- Training and development opportunities.
- Social events.
Head of Data Science in Norwich employer: Pikl
Contact Detail:
Pikl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science in Norwich
✨Tip Number 1
Network like a pro! Reach out to people 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 science projects, models, and any relevant work. This is your chance to demonstrate your hands-on experience and technical prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your approach to problem-solving and how you've used data to drive decisions in past roles. Practice makes perfect!
✨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 our team at Pikl and contributing to our mission.
We think you need these skills to ace Head of Data Science in Norwich
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 data science projects you've led. 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 Your Problem-Solving Skills: In your application, include examples of how you've tackled complex analytical problems in the past. We love seeing candidates who can apply statistical modelling and machine learning techniques to real-world business challenges.
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 this exciting opportunity at Pikl. We can't wait to hear from you!
How to prepare for a job interview at Pikl
✨Know Your Data Science Inside Out
Make sure you brush up on your technical skills, especially in Python, R, and SQL. Be prepared to discuss specific projects where you've applied machine learning techniques and how they impacted business outcomes. This role is all about hands-on model development, so showcasing your practical experience will be key.
✨Showcase Your Leadership Skills
As the Head of Data Science, you'll need to lead a team. Think about examples where you've mentored others or led a project. Be ready to discuss how you foster a culture of experimentation and evidence-based decision-making within your team. Highlighting your ability to communicate effectively with senior stakeholders will also set you apart.
✨Align with Pikl's Values
Familiarise yourself with Pikl's core values: Possibility, People, and Progress. Prepare to discuss how your personal values align with theirs and provide examples of how you've embodied these principles in your previous roles. This will show that you're not just a technical fit but also a cultural one.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach challenges related to pricing algorithms or data compliance. Practising your responses to these types of questions can help you articulate your thought process clearly during the interview.