Data Scientist / Analyst
Role details
Job location
Tech stack
Job description
- Mine and analyse large customer, transactional and operational datasets to uncover trends, behaviours and opportunities.
- Deliver actionable insights that support strategic decision-making and improve business performance.
- Partner with Marketing and Customer Experience teams to develop customer segmentation models and targeted engagement strategies.
- Measure and evaluate the impact of data-led initiatives on customer experience and revenue growth.
- Develop data products and self-service insight solutions that enable data-driven decision-making across the business.
- Analyse customer, sentiment and operational data to identify key drivers of performance.
- ·Apply data science and machine learning techniques to support forecasting, optimisation and automation opportunities.
Requirements
Essential Skills & Experience
- Strong Data Science capability with hands-on experience using Python for analysis.
- Sound understanding of Machine Learning concepts and their practical business applications.
- Advanced SQL skills with the ability to query and manipulate large datasets efficiently.
- Experience analysing customer and operational data to generate actionable insights.
- Strong problem-solving skills with the ability to communicate complex findings to non-technical audiences.
- A collaborative mindset and experience working with stakeholders across multiple business functions.
Benefits & conditions
Salary: £55k - £60k basic salary depending on skills and experience, plus benefits
Turn Data Into Insight. Insight Into Action.
The insight team uses robust analytics and research methodologies to deliver an industry-leading insight service into the business, making recommendations, driving strategies, and facilitating confident 'data-led' decision-making at all levels.
Are you passionate about unlocking the stories hidden within data? Do you enjoy solving complex business challenges using analytics, machine learning and customer insights? If so, we'd love to hear from you., * Competitive salary * Very generous pension* Agile /Hybrid Working * Excellent training, development, and career progression * 37 days annual leave (pro-rata) * Staff travel pass for yourself, spouse/partner, and dependents