151 to 167 of 167 Data Science Jobs in Central London

Senior Data Scientist Up to £80,000 + 15% bonus Hybrid – 3 days per week in office (London) We’ve partnered with an innovative Data Start-up who are looking to hire a passionate Senior Data Scientist. This consultancy provides innovative SAAS and AI solutions to their household name clients and is an excellent opportunity to work … Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or relevant field Interview Process: SQL and Python Test Technical interview (1 hour) In person Team Fit (2 hours More ❯

domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based … practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options More ❯

domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based … practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options More ❯

Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics More ❯

Job Title: Data Scientist (Contract) Location: London (Hybrid - 1 office visit a week) Duration: 6 months Start Date: ASAP Outside IR35 A global consultancy is seeking a Data Scientist to join its internal transformation team focused on delivering AI-driven solutions across tax and legal services. This is a contract role within a high-performing data and … best practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows and building scalable AI pipelines Strong data analytics and visualization capabilities (Excel, Alteryx) Understanding of Responsible AI principles and practices More ❯

entertainment group as their UK Analytics Manager. In this role, you'll be a key operational lead, managing and mentoring a growing team of three: a BI Developer, a Data Analyst, and a Data Scientist. You'll report to the Director of Analytics and act as the local lead for analytics operations in the UK. What you’ll More ❯

in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data scientists having direct and tangible communication with PMs and traders. With a true emphasis … on global collaboration, their investment, technology, and operations teams are aligned functionally around the world. Your Role: Develop insights and generate ideas for the equity fundamental research team using data-driven approaches. Collaborate across the firm to exchange results, feedback, and custom tools effectively. Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through … data analysis, building screening tools, and assessing new and existing datasets for relevance and quality. Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models. Assess the value and relevance of new datasets for specific sectors or stocks. Execute data-driven studies to validate or refute hypotheses More ❯

in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data scientists having direct and tangible communication with PMs and traders. With a true emphasis … on global collaboration, their investment, technology, and operations teams are aligned functionally around the world. Your Role: Develop insights and generate ideas for the equity fundamental research team using data-driven approaches. Collaborate across the firm to exchange results, feedback, and custom tools effectively. Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through … data analysis, building screening tools, and assessing new and existing datasets for relevance and quality. Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models. Assess the value and relevance of new datasets for specific sectors or stocks. Execute data-driven studies to validate or refute hypotheses More ❯

SENIOR PRICING DATA SCIENTIST £80,000 LONDON Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance. THE COMPANY This … predictive models using Python and Machine Learning techniques Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement Analyse large sets of customer data to drive insight and commercial performance Share insight with the wider team and helping to improve profitability across the business on ad hoc project work YOUR SKILLS AND EXPERIENCE More ❯

London My client is looking for an AI Engineer to lead the development and deployment of intelligent systems within their HR function. You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG. Key Responsibilities: Architect and implement … and RAG Strong proficiency in Python and experience with frameworks like PyTorch or TensorFlow. Experience working with vector databases (e.g., FAISS, Weaviate, Pinecone). Familiarity with HR systems and data (Workday, SAP SuccessFactors, etc.) is a plus. Excellent communication skills and ability to translate technical concepts for non-technical stakeholders. Ideally you will be educated to Degree level and … hold a MSc or PhD in Computer Science, AI, Machine Learning, or related sector. Due to the nature of this role, it wouldn't go a miss if you have exposure within legal or regulated industries. Naturally, you'll be obsessed with the world of AI with a genuine thirst for learning (Ideally with certifications in AI ethics or More ❯

Lead Data Scientist – Credit Risk Modelling £80-105,000 (dependent on experience) London THE COMPANY This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of More ❯

healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high-performing team … of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex product challenges, working More ❯

healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high-performing team … of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex product challenges, working More ❯

TraineeRecruitmentConsultantSpecialistHedgeFundHeadhunters JoinaglobalspecialistrecruitmentsearchfirmworkingacrossHedgeFunds,AssetManagement,InvestmentBanks,Crypto,andFinTech.Placingthemostin-demandtechnologists,datascientists,engineers,andtradersintoleadingfirmsworldwide,withofficesinNewYork,Chicago,London,Paris,Amsterdam,HongKong,Singapore,andShanghai. Takingauniquehybridapproach,blendingcontingentrecruitmentwithexecutivesearch,focusingoncandidateswhoarenotonlyhighlysoughtafterbutcommandexceptionalsalaries,withplacementsexceeding£1millionpackages. Typicaldealsizesrangefrom£60k-£80k,butitsnotunusualfordealstohitthe£120k-£150krange. Inyourfirstyear,youcanexpecttocompletejustahandfulofdealsandtakehomebetween£45k-£60k. Wearelookingforbright,confidentindividualswhotakeownershipoftheirsuccess-theresnomicromanagementhere.Youllbetrustedtolearnquickly,workindependently,andbuildyourownsuccessstory. Weareupfrontwithcandidatesabouttherealityofrecruitment:itstough More ❯

full-time role. Applications without a cover letter will not be considered. Company Headquartered in London, with offices in NYC and Shanghai, Neudata is the only objective and neutral data scouting service dedicated to finding alpha-generating data for investment managers. Neudata has grown to be the number one provider of data scouting services to investors globally … verticals. Neudata's Software as a Service (SaaS) catalogue of alternative and market dataset reports provides tools for users to easily search, source, compare and manage the best global data providers. This catalogue is updated using real-time insights from our team of expert research analysts based in London, New York and Shanghai. We are expanding our market data … PowerPoint, and Excel. The attitude of a team player who has an adaptable approach to work. The candidate is not required to have any advanced knowledge or experience in data science. Rather, we are looking to add someone to our team who has good common sense, energy, and a real desire to learn and make a difference among a More ❯

full-time role. Applications without a cover letter will not be considered. Company Headquartered in London, with offices in NYC and Shanghai, Neudata is the only objective and neutral data scouting service dedicated to finding alpha-generating data for investment managers. Neudata has grown to be the number one provider of data scouting services to investors globally … verticals. Neudata's Software as a Service (SaaS) catalogue of alternative and market dataset reports provides tools for users to easily search, source, compare and manage the best global data providers. This catalogue is updated using real-time insights from our team of expert research analysts based in London, New York and Shanghai. We are expanding our market data … PowerPoint, and Excel. The attitude of a team player who has an adaptable approach to work. The candidate is not required to have any advanced knowledge or experience in data science. Rather, we are looking to add someone to our team who has good common sense, energy, and a real desire to learn and make a difference among a More ❯