Job
Description
Join us as a Data Scientist In this role, you ll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading purpose customer solutions Day-to-day, you ll act as a subject matter expert and articulate advanced data and analytics opportunities, bringing them to life through data visualisation If you re ready for a new challenge, and are interested in identifying opportunities to support external customers by using your data science expertise, this could be the role for you Were offering this role at vice president level What you ll do We re looking for someone to understand the requirements and needs of our business stakeholders. You ll develop good relationships with them, form hypotheses, and identify suitable data and analytics solutions to meet their needs and to achieve our business strategy. You ll be maintaining and developing external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling and sharing updates within and outside of the team. You ll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems Working with and leading both direct reports and wider teams in an Agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes Using your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analytics Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models The skills you ll need To be successful in this role, you ll need evidence of project implementation and work experience gained in a data-analysis-related field as part of a multi-disciplinary team. We ll also expect you to hold an undergraduate or a master s degree in Data science, Statistics, Computer science, or related field . You ll also need an experience of 10 years with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets. And we ll look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques. Additionally, you ll need: Experience of deploying machine learning models into a production environment Proficiency in Python and relevant libraries such as Pandas, NumPy, Scikit-learn coupled with experience in data visualisation tools. Extensive work experience with AWS Sage maker , including expertise in statistical data analysis, machine learning models, LLMs, and data management principles Effective verbal and written communication skills , the ability to adapt communication style to a specific audience and mentoring junior team members
