Data Scientist

Location : Milton Keynes Type : Inside IR35 contract Eligibility : Citizen/ILR/Dependent/Settled Design and create analytical data models that deliver value. Demonstrate the practical use of models and innovate in applying models to deliver value quickly. Explore and discover data using tools such as Python and SageMaker, and prepare detailed implementation approaches for production. Act as an AI evangelist, communicating a detailed understanding of how models work and effectively conveying this information to appropriate audiences. Work collaboratively to achieve consensus and demonstrate value in a team setting. Leads the extraction and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. Drives model development, including data exploration, training data, feature extraction, validation and scoring. Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience. Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning. Mentors other Data Science & AI professionals, helping to improve the team’s abilities by acting as a technical resource. Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence. Story-telling with data: strong skills in building the case for change, drawing on data and analytical techniques where appropriate, and communicating this to business audiences Graduate and/or postgraduate degree in a relevant discipline (e.g. Maths, Statistics, ML, AI, Computer Science but not exclusively) or equivalent experience. Certifications in cloud platforms (AWS) or AI/ML specialisations. Systems thinking: technical expertise to evaluate the impacts and links between structure, people, process and technology. Business acumen: Knowledgeable in business strategy and the drivers of organisational performance, including people drivers of performance and financial literacy (e.g. business KPIs, business cases) Be agile: You identify opportunities to use collaborative approaches and continuous improvement. You contribute to projects as a subject matter expert or content owner. Wide knowledge and up-to-date academic experience, with a focus on the practical application of AI and data science tools. Strong experience with Python, SageMaker, and other relevant tools. Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences. Proven ability to work collaboratively and achieve consensus within a team.