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Data Scientist (Football Club)
Data Scientist (Football Club)
Singular Recruitment
Central London (W1)
From £50,000 to £70,000 per annum
Data Scientist(one day a week in the central London office) Sports Analytics - This role is a unique opportunity for aData Scientistto combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. * Collect, clean, and process football-related data from various sources.
Data Scientist(one day a week in the central London office) Sports Analytics - This role is a unique opportunity for aData Scientistto combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. * Collect, clean, and process football-related data from various sources.
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13 exact matches jobs are outside your preferred location
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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, weve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We dont chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and were always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where youll be empowered to envision its most powe
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, weve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We dont chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and were always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where youll be empowered to envision its most powe
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Job Description - Verisks Summer Internship Program is designed to provide you with real work experience, professional development, and networking opportunities. This is a full-time (35 hours/ week) paid internship program spanning ten weeks from mid-June through end of August 2026. Participation in the internship program requires that you are located near London office as the program is a hybrid work schedule, requiring you to be in the office at least 2 days per week. As an Integration Analyst Intern, youll work closely with product owners, customer integration leads, and other integration analysts to support data-driven initiatives. Youll gain hands-on experience collecting and processing data through APIs, visualizing insights, and contributing to the development of scalable data solutions in the insurance domain. We want to get to know YOU.
Job Description - Verisks Summer Internship Program is designed to provide you with real work experience, professional development, and networking opportunities. This is a full-time (35 hours/ week) paid internship program spanning ten weeks from mid-June through end of August 2026. Participation in the internship program requires that you are located near London office as the program is a hybrid work schedule, requiring you to be in the office at least 2 days per week. As an Integration Analyst Intern, youll work closely with product owners, customer integration leads, and other integration analysts to support data-driven initiatives. Youll gain hands-on experience collecting and processing data through APIs, visualizing insights, and contributing to the development of scalable data solutions in the insurance domain. We want to get to know YOU.
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££60,000 - £110,000 GBP + Package - Hybrid WORKING - Location: London;Cheltenham;Bournemouth, Central London, Greater London - United Kingdom Type: Permanent - Location: Cheltenham, London, Bournemouth - Consultative travel required - Clearance: Must be a sole British National, elligable or holding SC or DV - Salary: £60,000 - £110,000 (Depandant on grade) A leading digital consultancy is looking for a Senior Data Scientist to lead and deliver cutting-edge AI/ML solutions for clients across UK defence and public sector. This is a hands-on, strategic position for someone who thrives at the intersection of data science, client delivery, and software product design. What You'll Be Doing * Lead technical project delivery and shape data science strategy across multiple client engagements * Define and implement bespoke machine learning algorithms to solve real-world defence
££60,000 - £110,000 GBP + Package - Hybrid WORKING - Location: London;Cheltenham;Bournemouth, Central London, Greater London - United Kingdom Type: Permanent - Location: Cheltenham, London, Bournemouth - Consultative travel required - Clearance: Must be a sole British National, elligable or holding SC or DV - Salary: £60,000 - £110,000 (Depandant on grade) A leading digital consultancy is looking for a Senior Data Scientist to lead and deliver cutting-edge AI/ML solutions for clients across UK defence and public sector. This is a hands-on, strategic position for someone who thrives at the intersection of data science, client delivery, and software product design. What You'll Be Doing * Lead technical project delivery and shape data science strategy across multiple client engagements * Define and implement bespoke machine learning algorithms to solve real-world defence
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As a Senior Implementation Engineer, you will lead enterprise customers through complex integrations with Yapilys API, combining strategic guidance with deep technical execution. You will collaborate closely with Customer Success, Product, and Engineering to drive successful delivery, resolve technical challenges, and ensure ongoing customer success - ultimately becoming a subject matter expert in the Yapily API and its enterprise capabilities. * Experience with API integration and implementation of SaaS solutions * Proven experience writing and maintaining code, with hands-on programming skills relevant to API integration * Collaborating in various additional projects such as maintaining our API documentation * Able to write, review, and debug code as part of end-to-end API integration * Familiarity with back-end development practices, API-driven architectures, and e
As a Senior Implementation Engineer, you will lead enterprise customers through complex integrations with Yapilys API, combining strategic guidance with deep technical execution. You will collaborate closely with Customer Success, Product, and Engineering to drive successful delivery, resolve technical challenges, and ensure ongoing customer success - ultimately becoming a subject matter expert in the Yapily API and its enterprise capabilities. * Experience with API integration and implementation of SaaS solutions * Proven experience writing and maintaining code, with hands-on programming skills relevant to API integration * Collaborating in various additional projects such as maintaining our API documentation * Able to write, review, and debug code as part of end-to-end API integration * Familiarity with back-end development practices, API-driven architectures, and e
Provide an API to process and interact with our data.
Provide an API to process and interact with our data.
You will leverage your deep technical knowledge to build AI applications, intelligent agents, and API-based solutions, creating proof of concepts and transitioning these prototypes into scalable, cloud-based applications. Utilise your proficiency in Python (and relevant libraries such as OpenAI, LangChain, LlamaIndex, Pandas, NumPy) to design, develop, and deploy end-to-end AI systems, API integrations, and ETL/ELT pipelines in the cloud. * Strong understanding of LLM concepts, API orchestration, and agentic workflows, with a proven track record in designing, developing, and deploying AI solutions in Python. * Hands-on experience with data engineering tasks, including building ETL/ELT pipelines, containerisation (Docker), and API development and integration.
You will leverage your deep technical knowledge to build AI applications, intelligent agents, and API-based solutions, creating proof of concepts and transitioning these prototypes into scalable, cloud-based applications. Utilise your proficiency in Python (and relevant libraries such as OpenAI, LangChain, LlamaIndex, Pandas, NumPy) to design, develop, and deploy end-to-end AI systems, API integrations, and ETL/ELT pipelines in the cloud. * Strong understanding of LLM concepts, API orchestration, and agentic workflows, with a proven track record in designing, developing, and deploying AI solutions in Python. * Hands-on experience with data engineering tasks, including building ETL/ELT pipelines, containerisation (Docker), and API development and integration.
Job Title - Job Description - So, who are we? Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth. Your team - Are you passionate about delivering real value to an organisation using advanced techniques in data scie
Job Title - Job Description - So, who are we? Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth. Your team - Are you passionate about delivering real value to an organisation using advanced techniques in data scie
Each solution is built to be ready for full production use by our clients and it is the Applied AI team that owns all stages of this lifecycle: Within Applied AI, Research Engineering builds the AI optimization systems, MLOps sets up the training and inference infrastructure and the Software teams build graphical user interfaces and API servers.
Each solution is built to be ready for full production use by our clients and it is the Applied AI team that owns all stages of this lifecycle: Within Applied AI, Research Engineering builds the AI optimization systems, MLOps sets up the training and inference infrastructure and the Software teams build graphical user interfaces and API servers.
Manager, Lead Research Scientist, Training Data (Foundational Research)
Manager, Lead Research Scientist, Training Data (Foundational Research)
Thomson Reuters
London
Competitive
Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.)
Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.)
Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.)
Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.)
Manager, Lead Research Scientist, LLM Agents (Foundational Research)
Manager, Lead Research Scientist, LLM Agents (Foundational Research)
Thomson Reuters
London
Competitive
Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.)
Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.)
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Location -We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing - This is not a role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value are we trying to create here?" and "Is this the right problem to solve?" through to "It is live, stakeholders are using it and we can see the impact in the numbers." You will work fairly independently and you will also be someone that more junior team members look to for help and direction. A big part of the job is taking messy, ambiguous business and technical problems and turning them into clear, valuable solutions that
Location -We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing - This is not a role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value are we trying to create here?" and "Is this the right problem to solve?" through to "It is live, stakeholders are using it and we can see the impact in the numbers." You will work fairly independently and you will also be someone that more junior team members look to for help and direction. A big part of the job is taking messy, ambiguous business and technical problems and turning them into clear, valuable solutions that
Deliver large scale push and pull integrations using REST API best practices ensuring scalability and data integrity at the core, while optimizing performance and maintaining robust security standards
Deliver large scale push and pull integrations using REST API best practices ensuring scalability and data integrity at the core, while optimizing performance and maintaining robust security standards
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