1 to 9 of 9 Data Science Jobs in the City of London

Head of Machine Learning and Data Science 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 to automate workflows … into a technology-driven powerhouse by fostering innovation and driving business growth. Key Responsibilities: Develop and execute a comprehensive strategy for the ML and Data Science 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 projects. Ensure data more »

About the role: My client is seeking an experienced Senior Data Engineer with a specialisation in Snowflake and DBT to own and evolve the company's data stack. The ideal candidate for this role will be a self-starter with a knack for problem-solving and a strong … ability to learn new skills quickly. Key responsibilities include designing and developing scalable data models and warehouses, creating and maintaining database objects, and ETL processes for loading data into Snowflake. Proven proficiency in SQL, database optimisation, and effective database security implementation is a must (working closely with Data Science team). The candidate should also have good communication skills, an approachable personality, and prior knowledge/experience of the media industry will be beneficial. The role provides personal and professional development opportunities for an individual who can take on ownership and responsibility while integrating with multiple more »

As a Quantitative Analyst, you will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable … initiative and as a team. You will ideally be educated to at least a MSc level in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. A PhD would be beneficial. Skills required: Ideally a MSc or PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills and more »

an independent charity committed to bringing about better health and health care for people in the UK. This is an exciting role in the Data Analytics directorate, a team of around 25 staff. Data Analytics plays a core role in delivering the Foundations overall mission and strategy. We … the UK population, as well as health and care system performance. The Improvement Analytics Unit (IAU) is a sub-team of 14 staff within Data Analytics. It is a unique partnership between NHS England and the Health Foundation. We evaluate innovative and complex initiatives in health care in order … to support learning, improvement and policy development. Our Senior Data Engineer will work within the Improvement Analytics Unit (IAU).They will support our Assistant Director and Senior Analytical Managers to deliver an ambitious work programme, leading on data engineering, data management and information governance. The data more »

WHO WE ARE: We are a consultancy specializing in Insights & Growth, adept at discovering fresh avenues for our worldwide clientele using cutting-edge analytics, data science, and consulting on marketing strategy. Our mission is to assist brands in earning endorsement by comprehending the evolving landscape of Culture & Categories. … an expert team ready to provide guidance, brainstorm ideas, and introduce new concepts. Responsibilities: Analysing briefs and leading the development of methodologies Managing large data sets and translating them into compelling trends and actionable insights Identifying trends and themes in consumer attitudes, perceptions, and behaviours Leading and managing the … to create visually appealing and concise reports Presenting and clearly articulating analyses and findings to key stakeholders Ensuring deliverables meet the highest standards of data quality, reliability, and accuracy Serving as a mentor and quality leader for the team across all outputs Supporting and guiding Analysts on larger projects more »

data. Looking at why 0.1% of customers might say no or not respond to a campaign. This is about beingcreative in the use of data in a marketing context. For example - through the analysis you've carried out, making recommendations on how to improve targeting by looking at past … performance and applying this to future customer segmentation strategies, or working with the companys data science teams on next best action models and how they could be incorporated and activated into marketing activities to deliver value. Or creating data driven campaign strategies, leveraging new data assets … could lead to new customer journeys, or could be utilised to enrich existing campaigns which couldelevate their performance. Plus have the technical understanding of data tablesto be able to sit down with data engineers and IT teams to explain whats needed, how to get access to it,and more »

will include a mix of (but aren't limited to): Establish the implementation roadmap for all clinical technologies that enable clinical trial management and data collection mechanisms Develop, manage and implement processes for clinical technology adoption and management, eg software solutions Drive new technology solutions for site visits, clinical … a broader impact on the lives of the patients in our studies Oversee/manage projects to integrate and implement new technologies within clinical data capture or similar Manage the creation of new - and optimisation of existing - quality management processes Liaise with colleagues, eg within IT, Clinical Operations, Biometrics … clinical trial activities are properly integrated/aligned to protocols Manage, implement, and develop solutions in site start-up, study recruitment/conduct, and data capture processes across multiple clinical technology programmes Act as a technical expert and leader within the business Drive best practice within the business What more »

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as … Details Defining and developing the roadmap for claims predictive analytics aligned to our vision Working in collaboration with our operational, commercial, analytics and decision science teams to prioritise and sequence multiple use cases to maximise customer and commercial outcomes Translating the roadmap initiatives into requirements for our decision science … outcomes Skills we would love you to have Experience of the insurance industry and claims are advantageous, alongside previous experience of working alongside decision science teams and model delivery Experience of working in Agile environments and scum teams, working multiple projects simultaneously and organising/delivering at pace Ability more »

implement intuitive and responsive user interfaces. Maintain code quality and consistency across the front-end codebase. Machine Learning and AI Integration: Work closely with data scientists to integrate machine learning models into the production environment. Develop and maintain data pipelines and infrastructure to support AI initiatives. Ensure the … scikit-learn) and tools. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes). Proficiency in database management (SQL, NoSQL) and data pipeline tools. Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work independently and in a … A passion for education and a desire to make a positive impact through technology. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Benefits: Competitive salary with equity options Opportunity to work in a fast-paced, innovative start-up environment Professional development more »