126 to 143 of 143 Data Science Jobs in Central London

uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally More ❯

uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally More ❯

Data Scientist – Price Optimisation Location: Remote (UK-based, London preferred) Salary: £60,000–£70,000 + 5–8% bonus + Equity The Company A global pricing and revenue optimisation leader originally focused on airline pricing, now expanding into the hotel and hospitality sector. Following the acquisition of Pace Revenue, the team in the UK forms a key part of … go deeper into statistical theory and pricing dynamics to influence global product strategy. Key Responsibilities - Research and develop advanced pricing models for hotel revenue optimisation. - Work closely with other data scientists and engineers to deploy new logic. - Collaborate on experimentation, testing and performance evaluation. - Present findings to technical and non-technical stakeholders. - Contribute to long-term pricing strategy alongside … optimisation. Desirable: - Experience with pricing in hospitality or travel sectors. - Familiarity with academic or research environments. Team & Structure You’ll join the Pricing Optimisation team, working alongside 3 Senior Data Scientists under the management of James Butler. The wider DS function includes a Forecasting team and engineering support, with additional collaboration across global locations. Benefits - 5–8% performance bonus 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 ❯

UX and innovation framework as an iterative process and enabling continuous learning and adaptation across Risk and Compliance function. Collaborate with cross-functional teams, including product owners (PO), IT, data scientists, engineers, and business to collect and gain insights, shaping knowledge hub and fostering a mindset of continuous improvement. Play a role of coach and mentor for junior colleagues … Knowledge Knowledge and understanding in transformation with a focus on digital and change delivery Knowledge of the external environment – regulatory, political, competitors etc Exposure to AI, machine learning, or data-driven technology projects is an advantage Experience Proven ability to work across regions whilst maintaining a global perspective Strong analytical and problem-solving skills, with the ability to think 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 ❯

Core Responsibilities: Design and build robust data pipelines within Foundry. Integrate diverse data sources using Foundry's Ontology and Code Workbooks (Python, SQL). Develop and maintain Foundry applications (data lineage, pipelines, object models). Collaborate with analysts, data scientists, and business users to understand requirements. Optimize data flows and system performance. Due to the More ❯

About Sigmoid Analytics: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive … backed by Sequoia Capital. Why Sigmoid? Inc. 500 Fastest-Growing Companies (4 years running) Deloitte Technology Fast 500 (4 years running) Top Employer: AIM’s 50 Best Firms for Data Scientists Recently named British Data Awards Finalist & more accolades on the way! Accelerate your career with a fast-growing, innovative company. Apply now and be part of our 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 ❯

travel to London or Corsham Duration: 6-month initial contract SC clearance required. About the Role You are a systems thinker with deep experience in backend engineering and distributed data infrastructure. You thrive in high-stakes environments, know how to ship reliable code fast, and are pragmatic about trade-o=s. You understand the unique constraints of experimental, edge … This role focuses on building and adapting backend services to support experimental AI systems deployed in sensitive Defence contexts. You will help create and manage robust, portable pipelines for data ingestion, orchestration, model interaction, and querying - all within a classified, compute-constrained environment. While our SaaS platform handles production-scale workflows, this project demands thoughtful downscaling and adaptation, not … replication. You will work closely with a crossfunctional team of frontend engineers, data scientists, platform engineers, and external partners. What You'll Do * Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference More ❯

launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job … and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a More ❯

AI innovation company backed by a top-tier VC, building products that will redefine the retail experience. Currently in stealth mode, we’re blending cutting-edge advances in behavioural science, Generative AI, and reinforcement learning to create systems that anticipate and serve customer needs in radically new ways. We're seeking a visionary Head of Product to lead our … clear, compelling user value propositions, ensuring every model, interaction, and output contributes directly to defined business outcomes and customer delight. Acts as the crucial link between cutting-edge research, data strategy, technical feasibility, ethical AI principles, and impactful product delivery. What You'll Be Responsible For Define and articulate the overarching product strategy and roadmap, collaborating closely with our … Chief Innovation Officer to identify high-impact applications for retail. Translate complex AI/ML capabilities into actionable product requirements, working hand-in-hand with data scientists, ML engineers, software engineers, and UX/UI designers. In collaboration with our Head of UX/UI, envision and design intuitive human-AI interactions, ensuring our systems are both functional and More ❯

services to support AI deployments in classified settings Developing transcription ingestion pipelines and real-time insight generation capabilities Supporting graph and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating closely with data scientists to integrate More ❯

London office. Start ASAP in August 2025. Key experience + tasks will include: Implementing Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. Working closely with Data Scientists and operationalizing model with auditing enabled, and ensuring the run can be reproduced. Ensuring models are modular, source controlled, and have agreed release numbering. Extracting hard-coded elements … on the accuracy and error rate of each experiment. Ensuring model is run in line with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be More ❯

on real-time energy optimisation tools that make electricity smarter, greener, and more affordable . ⚡ Why join? Own greenfield products with real-world climate impact Work alongside top engineers, data scientists & energy experts Strong funding, fast shipping, and mission-led momentum Small, high-calibre team solving huge energy + data problems 🧠 What you’ll do: Lead product strategy … for their demand response platform Collaborate closely with users, engineering, and leadership Ship rapid iterations across optimisation, ML, and infra Keen to chat with PMs who care about climate, data, and building from 0→1. Reach out if you'd like to hear more More ❯

In 2021, two founders set out to build a new kind of growth business. Their ambition was to develop and scale digital-first brands using their own capital, advanced data capabilities, and hands-on marketing expertise. They weren’t interested in the traditional agency or VC model. Instead, they built a company that blends investment, creativity, and in-house … From annual team trips and learning budgets to book clubs and idea workshops, people are encouraged to think broadly and challenge the status quo. It’s a place where data scientists and strategists work side-by-side with creatives and founders, united by the belief that great brands are built at the intersection of logic and storytelling. By … the leadership team had formalised a brand-building philosophy rooted in data, creativity, and community. That same year, they launched new tools and frameworks to help early-stage and scaling brands move from product-market fit to breakout growth. This year, the business partnered with a leading AI platform to enhance its analytics workflow, reducing reporting time and unlocking More ❯

In 2021, two founders set out to build a new kind of growth business. Their ambition was to develop and scale digital-first brands using their own capital, advanced data capabilities, and hands-on marketing expertise. They weren’t interested in the traditional agency or VC model. Instead, they built a company that blends investment, creativity, and in-house … From annual team trips and learning budgets to book clubs and idea workshops, people are encouraged to think broadly and challenge the status quo. It’s a place where data scientists and strategists work side-by-side with creatives and founders, united by the belief that great brands are built at the intersection of logic and storytelling. By … the leadership team had formalised a brand-building philosophy rooted in data, creativity, and community. That same year, they launched new tools and frameworks to help early-stage and scaling brands move from product-market fit to breakout growth. This year, the business partnered with a leading AI platform to enhance its analytics workflow, reducing reporting time and unlocking More ❯

on real-time energy optimisation tools that make electricity smarter, greener, and more affordable . ⚡ Why join? Own greenfield products with real-world climate impact Work alongside top engineers, data scientists & energy experts Strong funding, fast shipping, and mission-led momentum Small, high-calibre team solving huge energy + data problems 🧠 What you’ll do: Lead product strategy … for their demand response platform Collaborate closely with users, engineering, and leadership Ship rapid iterations across optimisation, ML, and infra Keen to chat with PMs who care about climate, data, and building from 0→1. Reach out if you'd like to hear more More ❯