At a Glance
- Tasks: Build AI models and develop data-driven products that enhance customer experiences.
- Company: Fast-growing tech company focused on innovation and data-driven decision-making.
- Benefits: Salary up to £90,000, hybrid working, and clear career progression opportunities.
- Other info: Collaborative culture with significant investment in AI and emerging technologies.
- Why this job: Join a dynamic team and shape the future of AI and machine learning.
- Qualifications: Experience in Data Science, strong Python and SQL skills, and problem-solving abilities.
The predicted salary is between 60000 - 80000 £ per year.
- Senior Decision Scientist (Data Science)
- Hybrid Working, Based in Brighton | Up to £90,000
This is an opportunity to join a fast-growing, product-led technology business that is investing heavily in Data, AI and Machine Learning.
Working within a highly collaborative data function, you'll help build data-driven products and machine learning solutions that directly influence customer experience, product development and commercial performance.
The Company
Our client is an international technology platform with a strong focus on innovation and data-driven decision-making.
Data sits at the heart of the organisation, with significant investment in AI, experimentation and product development.
The business is scaling its Decision Science capability and embedding data professionals closer to product teams to maximise business impact.
The Role
- Build and develop recommendation and personalisation models
- Develop AI-powered products and customer-facing features
- Apply machine learning techniques to solve complex business problems
- Support experimentation through modelling, statistical testing and evaluation
- Conduct feature engineering and feature analysis to improve model performance
- Work closely with Product, Engineering and Analytics teams on high-impact initiatives
- Build proof-of-concepts that demonstrate the value of AI and advanced analytics
- Translate technical findings into actionable commercial recommendations
- Help shape the future use of AI, machine learning and data products across the business
- Your Skills & Experience
- Commercial experience within Data Science, Machine Learning or a similar role
- Strong Python and SQL skills
- Experience building machine learning models in a production environment
- Strong understanding of statistics, experimentation and hypothesis testing
- Experience with recommendation systems, personalisation or predictive modelling is beneficial
- Strong commercial awareness and problem-solving capabilities
- Ability to communicate technical concepts to both technical and non-technical audiences
- Comfortable working in a fast-paced, product-led environment
- Interest in AI, LLMs and emerging technologies
- What They Offer
- Salary up to £90,000
- Brighton-based hybrid working model, commutable from London
- Office attendance currently 3 days per week, reducing to 2 days per week
- Opportunity to work on cutting-edge AI and machine learning initiatives
- Join a growing data team during a period of significant investment
- High-impact role with strong exposure to product and commercial decision-making
- Clear opportunities for career progression and development
- Collaborative, innovative and highly data-driven culture
How to Apply
If you're excited by the opportunity to build impactful machine learning solutions within a product-focused environment, please apply with your CV.
#J-18808-Ljbffr
Senior Decision Scientist: AI & Personalisation (Hybrid, 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.
