Job Description

LEAD DATA SCIENTIST

Who we are looking for

A Lead Data Scientist to join the Schroders Wealth Management business, focusing on client engagement and retention, as well as driving growth by identifying new client opportunities.

The team

The Lead Data Scientist will be embedded within the wealth management business, working closely with technology teams. The role involves using data science to enhance client engagement and retention strategies, as well as identifying growth opportunities through data-driven insights.

What you will do:

The Lead Data Scientist will engage with internal customers, understand their needs and deliver insights, recommendations and tools to shape their actions. This will involve the application of advanced analytical methodologies including predictive modelling, recommendation engines and statistical assessments on complex and often disjointed datasets, and the output will take the form of development of prototypes and tools to be used by the business. This requires a blend of skills including programming, data analysis and statistics, as well as data-led storytelling, communication and business expertise.


Responsibilities include:


Collaborate with client teams to optimise strategies for client retention and growth through data science, advanced analytics, and AI. Apply data science techniques to enhance client engagement strategies and identify new client opportunities. Proactively explore and assess new data sources (internal, external, structured, and unstructured) to enhance prospecting and engagement capability. Owning project design and end to end delivery Manage stakeholders effectively, ensuring alignment of analysis and insights with business priorities. Collaborating with technology peers to build and maintain robust data pipelines, integrate data science solutions into existing processes and enable measurable tracking of results. Stay abreast of industry trends and emerging technologies, ensuring solutions are current and aligned with business objectives.

The knowledge, experience and qualifications you need:

A degree in a relevant technical discipline such as computer science, physics, engineering, mathematics, statistics, or a related field, and 5+ years of experience in a relevant role. Strong interest in and knowledge of computer and data science, with excellent analytical skills and the ability to exercise sound judgement. Ability to communicate complex ideas and problems in a clear and structured way to senior stakeholders and clients. Commercial/results focused Proficient in Python; good working knowledge of R and SQL. Experience with cloud-based technologies (AWS, Azure etc.) Experience with Agile methodologies and tools, including DevOps, Git, and CI/CD practices. A drive to address complex technical and theoretical challenges. * Experience with a cloud computing platform; AWS is a plus.