Senior Data Scientist

Troocoo:A client of ours in the financial services space is committed to leveraging data insights to drive strategic decision-making and enhance customer experiences. They are seeking a Senior Data Scientist who can use their skillset to influence how the organisation operates through the development of AI applications that can be applied to different business units and functions.

 
The Role: As the Senior Data Scientist you will play a crucial role in designing and implementing data solutions that support business objectives and enable efficient data management. You will be in a pivotal technical role in driving the design and implementation of complex and varied Data Science and AI projects aimed at delivering substantial business value.You will have access to market leading AI and GenAI tools and models and the client's extensive data assets and work with business leaders to develop these solutions. While this role is not formally a staff leadership position, the successful candidate will possess informal leadership responsibilities to junior data science staff, potentially overseeing small offshore delivery teams.Key Responsibilities:

Delivery of high-impact Data Science & AI Initiatives, including Generative AI models and Intelligent Process Automation for improved business processes like customer service, claims processing, sales processes, risk and cost base optimisation.

Bringing in cutting-edge external Data Science and AI concepts, effective communication across technical and executive audiences, and active participation in industry forums.

Solving business problems through innovative technical solutions, collaborating with senior stakeholders, and ensuring deployment and scalability of solutions.

Providing insight into emerging AI trends, offering counsel to the Data Science technical job family, and contributing to the Group's Data Science strategy.

What You'll Bring:

5+ years of experience in Data Science, AI, or closely related disciplines, demonstrating practical expertise and proficiency in the field.

Bachelor's Degree in a technical field (data science, machine learning, statistics, actuarial, engineering, mathematics, etc.) (mandatory).

A practical focus on using your technical skills to generate tangible business value.

Experience in developing and implementing Data Science pipelines involving Machine Learning algorithms is mandatory, with experience working on Databricks being highly valued.

Knowledge of Generative AI and experience in developing proof-of-concepts or building prototypes using GenAI is desirable

Proficiency in Python programming and expertise in developing ML models and/or pipelines are mandatory requirements.

Thorough understanding of Machine Learning algorithms and deep neural networks is mandatory.

Please apply directly here, or contact Enrico Da Costa on  for further information.