Are you a curious and driven early-career professional eager to shape the future through Artificial Intelligence and DataScience? We’re looking for a Junior AI & Data Scientist to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product … Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do. Tailored Compensation: Competitive salary … early-career benefits, and fast-track development opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, DataScience, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn More ❯
the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Data Scientist within Frontier, you will be part of the cross-functional delivery teams that configure our product Frontier for our customers. Each deployment of Frontier requires a computational twin … essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied datascience role … to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all datascience work such as EDA, model building, and model evaluation. Who we're looking for: Experience in either a professional datascience position or a quantitative More ❯
We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid) Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions and support high-impact business growth. 📍 Location: London (3 days per week in-office) 🔍 About the Role We … re on the hunt for a talented Data Scientist with strong statistical foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, ambitious data team and play a key role in forecasting, modelling, and strategic planning across the business. Your insights will help shape operational and financial decisions company … non-technical teams to communicate insights Build visual tools or dashboards to monitor model outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Stanton House
We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid) Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions and support high-impact business growth. 📍 Location: London (3 days per week in-office) 🔍 About the Role We … re on the hunt for a talented Data Scientist with strong statistical foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, ambitious data team and play a key role in forecasting, modelling, and strategic planning across the business. Your insights will help shape operational and financial decisions company … non-technical teams to communicate insights Build visual tools or dashboards to monitor model outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders More ❯
Summer Internship at WhatInMyWater Company Description WhatInMyWater aggregates UK water data into a powerful, enterprise-grade dataset and user-friendly service. Our platform empowers individuals with personalised water-quality reports based on their postcode, backed by collaborations with leading water-health scientists to ensure cutting-edge biomarker standards. Through data engineering, research, and AI-driven insights, we’re … quality transparency. This unpaid, hands-on role offers flexible hours (approximately 20–30 hours per week) to accommodate your schedule. You’ll work on real-world projects, from building data pipelines to enhancing AI-driven reports, gaining end-to-end product development experience in a dynamic startup environment. What You’ll Do Data Ingestion & Scraping Develop and maintain … Python/Go scripts to scrape water-quality data from government sites, PDFs (via OCR), and public APIs Build a robust, reusable scraping pipeline with error handling, logging, and scheduling Backend & Database Work Design and optimise Postgres database schemas for large-scale time-series water data Support deployment and hosting using Docker, AWS, and CI/CD pipelines More ❯
for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you … ll be doing: As a Data Scientist within Frontier, you will lead the datascience work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to … these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied datascience role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build More ❯
Junior Data Analyst Location: London (Vauxhall) — Full Time, Onsite Salary: £30,000 – £33,000 An excellent opportunity for a bright, ambitious entry-level analyst to join a highly profitable, multinational property investment and management group. This is a rare chance to gain broad technical and business exposure across data engineering, analytics, and emerging datascience projects … to growth, focus on stability, and deep partnerships with tenants and investors. With operations across Europe, they are currently expanding and integrating their European businesses into a centralised, modern data and technology structure. The Role As part of the technical team, this role offers hands-on experience across a range of leading technologies and platforms. Full training will be … provided in SQL, Looker, and DBT for reporting, dashboarding, and data pipeline development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in datascience and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries More ❯
Junior Data Analyst Location: London (Vauxhall) — Full Time, Onsite Salary: £30,000 – £33,000 An excellent opportunity for a bright, ambitious entry-level analyst to join a highly profitable, multinational property investment and management group. This is a rare chance to gain broad technical and business exposure across data engineering, analytics, and emerging datascience projects … to growth, focus on stability, and deep partnerships with tenants and investors. With operations across Europe, they are currently expanding and integrating their European businesses into a centralised, modern data and technology structure. The Role As part of the technical team, this role offers hands-on experience across a range of leading technologies and platforms. Full training will be … provided in SQL, Looker, and DBT for reporting, dashboarding, and data pipeline development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in datascience and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries More ❯
Junior Data Analyst Location: London (Vauxhall) — Full Time, Onsite Salary: £30,000 – £33,000 An excellent opportunity for a bright, ambitious entry-level analyst to join a highly profitable, multinational property investment and management group. This is a rare chance to gain broad technical and business exposure across data engineering, analytics, and emerging datascience projects … to growth, focus on stability, and deep partnerships with tenants and investors. With operations across Europe, they are currently expanding and integrating their European businesses into a centralised, modern data and technology structure. The Role As part of the technical team, this role offers hands-on experience across a range of leading technologies and platforms. Full training will be … provided in SQL, Looker, and DBT for reporting, dashboarding, and data pipeline development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in datascience and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries More ❯
talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Senior Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you … ll be doing: As a Lead Data Scientist within Frontier, you will lead the datascience work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists … these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied datascience role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build More ❯
Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. Independently manage budget, ensuring appropriate … give people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together! The Role As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of datascience methodologies applied to patient-level dataMore ❯
About the Role: Grade Level (for internal use): 11 The Role: Data Scientist, Credit Research & Insights The Team: The Credit Research & Insights team, within S&P Global Ratings Research, provides timely credit research and insight in relation to global credit and rating performance trends. The team generates leading-edge high frequency credit research which is widely used throughout the … firm and by external stakeholders. The Impact: S&P Global Ratings Credit Research & Insights team is looking for an experienced data scientist who will play a crucial role in shaping and managing the team's data-driven research projects. This role serves as the backbone to all the team's datascience related projects. The ideal … candidate should be highly motivated, goal-oriented and be able to work independently on datascience projects. She or he will need to interact with senior analysts and management across the firm as well as senior external parties. What's in it for you: Opportunity to work on high profile credit research projects and reports, which are extensively More ❯
an enriching work experience on several levels: relational, professional, and cultural. Every day, our teams are making trade happen. Join us! Job Description We are seeking an experienced Business Data Architect – Keying and Linking to lead the design, development, and optimization of keying and linking processes that support enterprise-wide data integration, master data management (MDM), and … identity resolution. You will be responsible for creating data architecture strategies that enable the accurate identification, deduplication, and unification of data entities across complex systems and business domains. Qualifications Key Responsibilities: Design and implement keying and linking architectures to enable accurate entity resolution and data deduplication across diverse data sources. Define and maintain data matching … rules , and record linkage strategies in support of Multi-sourcing and product 360 initiatives. Collaborate with business stakeholders to gather requirements and translate them into technical design for data integration and unification. Developing data profiling, data quality assessment , and cleansing activities to support accurate keying and linking. Partner with IT and business teams to ensure governance and More ❯
an enriching work experience on several levels: relational, professional, and cultural. Every day, our teams are making trade happen. Join us! Job Description We are seeking an experienced Business Data Architect – Keying and Linking to lead the design, development, and optimization of keying and linking processes that support enterprise-wide data integration, master data management (MDM), and … identity resolution. You will be responsible for creating data architecture strategies that enable the accurate identification, deduplication, and unification of data entities across complex systems and business domains. Qualifications Key Responsibilities: Design and implement keying and linking architectures to enable accurate entity resolution and data deduplication across diverse data sources. Define and maintain data matching … rules , and record linkage strategies in support of Multi-sourcing and product 360 initiatives. Collaborate with business stakeholders to gather requirements and translate them into technical design for data integration and unification. Developing data profiling, data quality assessment , and cleansing activities to support accurate keying and linking. Partner with IT and business teams to ensure governance and More ❯
Research Science Manager, Ads Traffic Quality, Traffic Quality ML Amazon Ads is looking for a Research Science Manager with machine learning and deep learning background to build industry-leading technology for preventing ad fraud at scale. Key job responsibilities Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices … the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We are looking for a dynamic, innovative and accomplished research science manager to lead machine learning and datascience for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and … leveraging state-of-the-art datascience and machine learning techniques to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? As an research science manager for Traffic Quality, you will lead a team of applied scientists, research scientists, data scientists More ❯
scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist Intern, you'll be part of our rapidly growing team. You'll have the chance to apply datascience methods and analytics to real-world business … on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for datascience, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead … teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated datascience concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations More ❯
robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Lead Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in DataScience, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning More ❯
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer with a strong focus on Databricks to join an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced Databricks solutions within … the Azure ecosystem. Responsibilities: Design, build, and optimise end-to-end data pipelines using Azure Databricks, including Delta Live Tables. Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions. Drive best practices for data engineering. Help clients realise the potential of datascience, machine learning, and scaled data processing within Azure/… and support their personal development. Take ownership for the delivery of core solution components. Support with planning, requirements refinements, and work estimation. Skills & Experiences: Proven experience designing and implementing data solutions in Azure using Databricks as a core platform. Hands-on expertise in Delta Lake, Delta Live Tables and Databricks Workflows. Strong coding skills in Python and SQL, with More ❯
Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. The Data & Science Org At Deliveroo we have an outstanding datascience organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business … and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our datascience management team, and we have a highly active datascience community, with guest lecturers … study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in datascience, many are not. We More ❯
Data Product Owner 📍 London (Hybrid: 2 days remote per week) 💼 Permanent | Excellent salary & benefits package 🚀 Own the data. Drive the insight. We’re partnering with a major UK organisation to recruit a Data Product Owner who will play a key role in building out their enterprise data capabilities — enabling better customer experiences, advanced analytics, and insight-led … decision making across the business. This is a hands-on role with huge scope: you’ll work across data platforms, engineering, governance, and business teams to deliver data products that drive measurable outcomes. The Role Lead the development of data platforms: data warehouses, lakes, CDPs, analytics solutions. Act as the central link between business, datascience, engineering, and governance functions. Manage the data product backlog, translating requirements into deliverable features. Oversee data pipelines, modelling, ETL/ELT processes, APIs, and cloud data platforms. Ensure data quality, governance, compliance and regulatory standards (GDPR, CCPA). Use BI and analytics platforms (Tableau, Power BI, Looker) to inform product decisions. About You More ❯
As a Data Specialist at this tech scaleup in London, you will analyse, collect, sort, and create data solutions that integrate across multiple products. You will steer decisions regarding data and build the models that power their products. You will take client insights and requirements and make them a reality, by developing datasets and operational models to … drive innovation into the product development process. You will interpret your client’s objectives, desires, and preferences to help the wider technical team understand the opportunities and apply data engineering responsibilities consistently. You will be working on an interesting range of projects that deliver to National Security customers and as such, you will have to hold the highest level … of UK Security Vetting (DV), upon application. Key Responsibilities: You will blend Data Engineering and DataScience, and will have experience that might cover a number of the tasks listed below: Data Engineering tasks Manage the implementation and development of integrations between the data warehouse and other systems. Create deployable data pipelines that are More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fortice
As a Data Specialist at this tech scaleup in London, you will analyse, collect, sort, and create data solutions that integrate across multiple products. You will steer decisions regarding data and build the models that power their products. You will take client insights and requirements and make them a reality, by developing datasets and operational models to … drive innovation into the product development process. You will interpret your client’s objectives, desires, and preferences to help the wider technical team understand the opportunities and apply data engineering responsibilities consistently. You will be working on an interesting range of projects that deliver to National Security customers and as such, you will have to hold the highest level … of UK Security Vetting (DV), upon application. Key Responsibilities: You will blend Data Engineering and DataScience, and will have experience that might cover a number of the tasks listed below: Data Engineering tasks Manage the implementation and development of integrations between the data warehouse and other systems. Create deployable data pipelines that are More ❯
this new role. This team is central to our efforts to support customers struggling with their bills. We are unique because we combine several skills and mindsets: 1 . Data analytics is our core skillset. Everyone in the team is very strong in this area. 2 . We have a firm understanding of our customers' needs and the business … with our operations teams, who speak directly to customers. What you'll do Take ownership of managing customers who are struggling with their payments. Conduct deep dive investigations into data to surface insights for decision-making. Develop our reporting suite using the latest BI tools and technology stack. Develop empathetic approaches towards vulnerable customers. Create strategies to identify and … party fraud. Develop machine learning models and policies that drive sophisticated decisions. Proactively identify new areas of opportunity. Challenge the status quo regarding KPIs, objectives, and strategy. Communicate complex data concepts effectively and confidently. Build strong relationships with DataScience, Technology, Finance, Collections, Operations, and other stakeholders. What you'll need Excellent SQL skills. A drive to More ❯
andmake a positive contribution to the world of banking and society. THE ROLE We are looking for a visionary and results-driven Head ofData & Analytics to lead our global data strategy, governance, andanalytics initiatives within the Corporate Global IT organization. This role iscritical in transforming data into actionable insights that drive businessperformance, innovation, and competitive advantage. You will … making into the core of our operations. Additionally, youwill oversee the ownership and evolution of enterprise budgeting andforecasting software, ensuring it supports strategic financial planning andintegrates seamlessly with broader data and analytics frameworks. OPPORTUNITIES You will Data Strategy & Leadership: Define and execute the enterprise-wide data and analytics strategy aligned with global business goals, offering a single … source of truth and holistic data management/access solution. Team Management: Lead, mentor, and grow a high-performing team of data scientists, analysts, and engineers. Data Governance: Establish and enforce data governance policies, ensuring data quality, security, and compliance across regions. Analytics & Insights: Drive the development of advanced analytics, dashboards, and reporting to support More ❯
Senior Data Scientist - Consumer Behaviour - Exciting Scale-up London office hybrid 3 days per week Salary negotiable depending on experience to £90,000 + stock options Job Reference J12960 Please note this client is unable to offer sponsorship, so please ensure you have full UK working rights. About Measure Protocol Measure Protocol is building the world's first ethical … and transparent human data marketplace. They believe in giving individuals more control over their data and the opportunity to benefit financially from its use. The company has recently raised investment from venture capital and strategic firms, collaborating with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and … prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders. Campaign Optimization: Provide insights to improve media buying strategies, including channel allocation and budget More ❯