Senior Data Scientist

Description:

Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery to build and deploy advanced analytics solutions that have real-world impact.

As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make smarter, data-driven decisions.

Key Responsibilities

• Understanding business challenges and translating them into value-linked data science solutions.
• Working closely with data engineers to define data requirements and pipelines.
• Performing exploratory data analysis and recreating key business KPIs.
• Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards.
• Developing, deploying and maintaining machine learning models.
• Evaluating project impact through experimentation and A/B testing.

Your work will focus on delivering high-value insights and solutions, including:

• Building optimisation models to improve efficiency and throughput.
• Developing predictive models to reduce risk and prevent downtime.
• Designing churn prediction strategies to improve customer retention.
• Identifying next-best actions to support sales and commercial teams.
• Applying geospatial modelling to optimise footprint and location strategy.

What We’re Looking For

• At least 2+ years’ experience applying data science to deliver commercial impact.
• A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
• Strong Python skills (Pandas, NumPy, Scikit-learn or similar).
• A collaborative mindset with excellent communication skills.
• Experience working in cross-functional teams delivering production-ready solutions.