At a Glance
- Tasks: Shape data-driven decisions and enhance product experiences in a collaborative environment.
- Company: Fast-growing tech company prioritising data and AI for future growth.
- Benefits: Competitive salary, dedicated learning support, and long-term career progression.
- Other info: Dynamic culture focused on collaboration and commercial success.
- Why this job: Join a pivotal team and make a real impact with cutting-edge AI and analytics.
- Qualifications: Strong analytical skills and experience in product or technology environments.
The predicted salary is between 90000 - 90000 £ per year.
- Senior Decision Scientist
- Brighton (Hybrid) | £90,000 Base Salary
This is an exciting opportunity to join a growing Data & Analytics function at a business that is placing data and AI at the heart of its strategy.
As a Senior Decision Scientist, you'll help shape how data is used to drive commercial decisions, improve product experiences, and influence long-term business outcomes.
You'll join at a pivotal time as the organisation evolves its data capability and scales a high-impact team.
The Company
They are a fast-growing, product-led technology business operating internationally, with data and AI playing a central role in their future growth.
The organisation has invested heavily in building strong data foundations, creating a mature analytics environment and fostering a culture of experimentation and innovation.
As they continue to scale, they are transforming their data function from a centralised model into embedded product teams, creating greater proximity between data professionals and business decision-making.
This is a highly collaborative environment where commercial impact is valued as much as technical excellence.
The Role
As a Senior Decision Scientist, you will work closely with Product Managers, Engineers, Designers and senior stakeholders to identify opportunities, influence strategy and deliver measurable business impact.
Key responsibilities include
- Understanding complex business and product challenges through data analysis.
- Identifying, sizing and prioritising commercial opportunities.
- Conducting product analytics to improve customer experiences and business performance.
- Defining success metrics and building frameworks for measuring impact.
- Designing, implementing and analysing A/B tests and experimentation programmes.
- Supporting product teams with insight-driven decision making.
- Delivering data storytelling and recommendations to senior stakeholders.
- Collaborating across analytics, data engineering and data science disciplines.
- Leveraging AI tools and emerging technologies to enhance analysis and product development.
- Contributing to a growing data community and helping shape best practice.
Projects may include recommendation engines, customer personalisation, checkout optimisation, fraud reduction, financial process improvement, customer segmentation and AI-powered product features.
- Your Skills & Experience
- Strong experience turning data into commercial recommendations and business outcomes.
- Excellent stakeholder management skills with the ability to influence decision-making.
- Experience working within product, digital, e-commerce or technology environments.
- Strong analytical capability, including SQL and relevant analytical tooling.
- Experience designing and evaluating experiments, including A/B testing and statistical analysis.
- Commercially minded with the ability to balance rigour and pace.
- Comfortable working through ambiguity and solving open-ended business problems.
- Interest in AI, machine learning and emerging technologies.
- Ability to communicate complex findings clearly to both technical and non-technical audiences.
- Experience with product analytics, opportunity sizing and performance measurement.
Applications are also welcomed from candidates with strengths across either of the following areas:
- Analytics-focused professionals with expertise in experimentation, product analytics and opportunity identification.
- Data Science-focused professionals with experience in recommendation systems, machine learning, customer modelling and AI products.
- What They Offer
- Significant investment in Data & AI capabilities.
- Opportunity to help shape a growing team expanding from 10 to approximately 16 people.
- Dedicated learning and development support.
- Long-term career progression as the Data & Analytics function continues to scale.
- Exposure to cutting-edge AI, experimentation and product development initiatives.
- Collaborative, high-performing and commercially focused culture.
How to Apply
If you're passionate about using data to influence product strategy, solve complex business challenges and deliver measurable impact, please apply today.
Senior Decision Scientist 199646 in Brighton 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 Senior Decision Scientist 199646 in Brighton
✨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 Harnham!
✨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 Senior Decision Scientist 199646 at Harnham.
✨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 Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Decision Scientist 199646 at Harnham, 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 Senior Decision Scientist 199646 in Brighton
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.
