HeadofDataScience - London - £140,000 base salary + Competitive Benefits Our client is a leading fintech company headquartered in London. Their mission is to transform the financial services industry through cutting-edge technology and data-driven solutions. They have developed a suite of … seamless digital banking experiences, and advanced investment strategies. With a robust funding base and a rapidly growing customer base, they are at the forefront of the fintech revolution, delivering unparalleled value and convenience to clients. As the HeadofDataScience, you will play a … pivotal role in driving the data strategy and analytics initiatives that underpin the innovative fintech solutions. You will lead a talented team of 14 data professionals, working on complex data problems, building predictive models, and extracting actionable insights to fuel our growth. This is an exciting more »
About The Role Team DataScience Working Pattern - Hybrid 2days per week in the Vitality London Office.Full time, 37.5 hours per week. What this role is all about: The Headof VitalityLife DataScience is a leadership position in Vitalitys datascience department and is responsible for: Overseeing activities of several junior data scientists/actuaries to ensure proper execution of duties and alignment with the overall vision of the business The creation of new datascience capabilities for the business by developing and … executing strategies that will enable informed choice making to improve the performance of the business Proactively working with business executives and various departmental heads to provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the more »
The Opportunity There is an exciting opportunity for a HeadofDataScience & Engineering to join the senior Data Services team within the Digital, Data, and Technology (DDaT) Directorate within a UK-based regulatory body. As HeadofDataScience & Engineering, you will develop capabilities to support the transformation into a data-enabled organisation. The vision is to use digital, data, and technology to revolutionise regulation, making it more efficient, secure, transparent, and customer-centred. The Data Team is responsible for the data estate, defining … and implementing the organisation’s data strategy, and promoting data as a strategic business asset. Joining at an exciting stage of growth, you’ll play a crucial role in shaping the future ofdatascience and engineering capabilities, contributing to a data-enabled more »
Headof, Machine Learning and DataScience Center of Excellence Salary: £105,000 - £130,000 dependant on skills and experience Location: Remote, United Kingdom Contract: Permanent Hours: 37.5 Williams Lea, a leading global business process outsourcing (BPO) firm, seeks a visionary and hands-on Senior … Manager to spearhead the establishment and oversight of a Machine Learning and DataScience Center of Excellence. This strategic role will be instrumental in driving AI and tech enablement initiatives across the company's diverse service offerings, creating market differentiation, increasing profit margins, and delivering superior … in 20 countries across four continents and has 7,000 employees worldwide. Key responsibilities Develop and execute a comprehensive strategy for the ML and DataScience Center of Excellence, aligning with the company's overall business objectives and tech enablement goals. - Build and lead a high-performing more »
Headof Machine Learning and DataScience Centre of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data … into a technology-driven powerhouse by fostering innovation and driving business growth. Key Responsibilities: Develop and execute a comprehensive strategy for the ML and DataScience Center of Excellence, aligning with overall business objectives and tech enablement goals. Build and lead a high-performing, cross-functional team … of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful more »