At a Glance
- Tasks: Use data to influence product direction and solve complex business problems.
- Company: Tech-led company with a strong data culture and focus on AI.
- Benefits: Up to £90,000 salary, hybrid working, private healthcare, and learning support.
- Other info: Opportunities for career progression in a dynamic data environment.
- Why this job: Make a real impact on product strategy and customer experiences.
- Qualifications: Experience in analytics, decision science, and strong SQL skills required.
The predicted salary is between 90000 - 90000 £ per year.
Senior Decision Scientist
Brighton | Up to £90,000 + Benefits
If you enjoy using data to influence product direction, solve complex business problems and drive measurable commercial outcomes, this could be an excellent next step. This role sits at the intersection of analytics, experimentation, product and AI, offering the opportunity to work closely with Product Managers and Engineers to shape decisions that directly impact customers and business performance.
The Company
They are a technology-led business with a strong data culture and significant investment in AI, analytics and product development. As they continue to scale, they are evolving their Data function to embed Decision Scientists more closely within product teams, ensuring data plays a central role in strategic and operational decision-making.
With a modern data environment, strong stakeholder engagement and a clear commitment to innovation, they offer an environment where analytical thinking is valued and acted upon.
The Role
As a Senior Decision Scientist, you'll work closely with Product Managers, Engineers and stakeholders to uncover opportunities, measure impact and influence decision-making.
You'll be responsible for:
- Identifying and investigating business and product opportunities
- Using data to shape product strategy and prioritisation
- Designing and measuring experiments and A/B tests
- Defining success metrics and evaluating feature performance
- Translating complex analysis into clear recommendations
- Supporting the development of data-driven product features
- Helping teams understand customer behaviour and journey friction points
- Exploring how AI and data can be used to improve customer experiences
- Acting as a trusted partner to both technical and non-technical stakeholders
This role is ideal for someone who enjoys being close to the business and wants to see their work directly influence product and commercial outcomes.
Your Skills & Experience
- Strong experience in analytics, decision science, product analytics or data science
- A commercial mindset and a genuine interest in solving business problems
- Experience working with experimentation and statistical testing
- Strong SQL skills and experience using Python or R
- Ability to communicate findings clearly and influence stakeholders
- Experience working closely with Product and Engineering teams
- Comfortable working in ambiguity and helping shape solutions
- Interest in AI, machine learning and emerging technologies
What They Offer
- Salary up to £90,000
- Hybrid working, two days per week in Brighton
- Private healthcare and enhanced pension contribution
- Dedicated learning and development support
- Clear progression opportunities within a growing Data & Analytics function
- The chance to work on high-impact product and commercial challenges
- Exposure to modern AI tooling and a data-driven culture
How to Apply
If you're looking for a role where you can combine analytics, product thinking and commercial impact, we'd love to hear from you. Apply today to find out more.
Data Scientist in Eastbourne employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Eastbourne
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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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 Harnham.
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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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
