126 to 150 of 180 Data Science Jobs in the City of London

experience in stakeholder management and client engagement. Proficiency in spreadsheets and SQL is required, and an agency background is a plus. Responsibilities include: - Assist in reviewing internal and external data sources and leverage org for external or consumer data to identify opportunities, with minimal guidance. Analyze and build a general understanding of client/partner business and stakeholders. … Make clients/partners understand how our products can improve their performance and efficiency. - Focus on building relationships with customers in Analytics, Tech, and/or Data functions, with minimal guidance. - Identify products/solutions related to measurement, attribution, and experimentation, and partner with other specialist teams for additional products, with minimal guidance. Help align our products and offerings … clients'/partners’ marketing objectives using analytical insights in collaboration with product specialist teams. - Help develop high-level sales strategy and plans. - Help connect with measurement drives, search automation, data science, CSEs, etc. to find the best solution. - Assist in conducting ad hoc analysis/reports for customers including in-depth auction/industry analysis, test results, custom More ❯

at the intersection of creativity, performance, and AI innovation, this global business helps clients unlock efficiency and effectiveness across the content supply chain. The company blends creative insight with data science and automation to drive DCO at scale. As the Senior Creative Strategist , you'll play a crucial role in turning data into actionable insights that shape … digital creative strategy and showcase performance impact. This is a perfect opportunity for a curious, analytically minded individual who enjoys blending creativity with data to influence decision-making and innovation. The Role Create and implement DCO strategies that connect client goals with media plans and audience insights. Turn performance data into practical recommendations and establish measurement frameworks to … platforms, and adjust approaches accordingly. Support product development by applying campaign learning's and sharing expertise on AI, automation, and digital creativity. The Candidate 4+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production and DCO campaigns Strong numeracy and analytical skills with a good More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex data … business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. Key Activities & Accountabilities Drive optimal client project processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client More ❯

with a focus on CTV and cross-screen planning, activation, and measurement. The successful candidate will work closely with product, commercial, and trading teams to operationalise partnerships with ACR data providers, TV OEMs, and measurement solutions, bringing innovative media solutions to market. Key Responsibilities Media Solutions Strategy Owns and drives the localisation of the ATV product roadmap, collaborating with … to maximise commercial impact across the region. Researches the TV and measurement ecosystem, mapping local EMEA partner capabilities to solution gaps and identifying investment priorities. Coordinates and leads exploratory data analysis projects (EDAs) with global centres of excellence to evaluate and onboard new or updated data partnerships. Scopes and delivers proof of concepts across the full campaign lifecycle … planning, activation, optimisation, measurement, and reporting. Partnership Management & External Engagement Manages relationships with key EMEA ATV partners across ACR/data, publishers, and measurement companies, acting as the leading voice of the region. Identifies and negotiates strategic partnerships to secure competitive advantage in ATV. Oversees partner onboarding, from contracting and integration through to outlining growth opportunities. Analyses adoption trends More ❯

with a focus on CTV and cross-screen planning, activation, and measurement. The successful candidate will work closely with product, commercial, and trading teams to operationalise partnerships with ACR data providers, TV OEMs, and measurement solutions, bringing innovative media solutions to market. Key Responsibilities Media Solutions Strategy Owns and drives the localisation of the ATV product roadmap, collaborating with … to maximise commercial impact across the region. Researches the TV and measurement ecosystem, mapping local EMEA partner capabilities to solution gaps and identifying investment priorities. Coordinates and leads exploratory data analysis projects (EDAs) with global centres of excellence to evaluate and onboard new or updated data partnerships. Scopes and delivers proof of concepts across the full campaign lifecycle … planning, activation, optimisation, measurement, and reporting. Partnership Management & External Engagement Manages relationships with key EMEA ATV partners across ACR/data, publishers, and measurement companies, acting as the leading voice of the region. Identifies and negotiates strategic partnerships to secure competitive advantage in ATV. Oversees partner onboarding, from contracting and integration through to outlining growth opportunities. Analyses adoption trends More ❯

at the intersection of creativity, performance, and AI innovation, this global business helps clients unlock efficiency and effectiveness across the content supply chain. The company blends creative insight with data science and automation to drive DCO at scale. As the Digital Strategist , you'll play a crucial role in turning data into actionable insights that shape digital … creative strategy and showcase performance impact. This is a perfect opportunity for a curious, analytically minded individual who enjoys blending creativity with data to influence decision-making and innovation. The Role Create and implement DCO strategies that connect client goals with media plans and audience insights. Turn performance data into practical recommendations and establish measurement frameworks to evaluate … platforms, and adjust approaches accordingly. Support product development by applying campaign learning's and sharing expertise on AI, automation, and digital creativity. The Candidate 4+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production and DCO campaigns Strong numeracy and analytical skills with a good More ❯

at the intersection of creativity, performance, and AI innovation, this global business helps clients unlock efficiency and effectiveness across the content supply chain. The company blends creative insight with data science and automation to drive DCO at scale. As the Digital Strategist , you'll play a crucial role in turning data into actionable insights that shape digital … creative strategy and showcase performance impact. This is a perfect opportunity for a curious, analytically minded individual who enjoys blending creativity with data to influence decision-making and innovation. The Role Create and implement DCO strategies that connect client goals with media plans and audience insights. Turn performance data into practical recommendations and establish measurement frameworks to evaluate … platforms, and adjust approaches accordingly. Support product development by applying campaign learning's and sharing expertise on AI, automation, and digital creativity. The Candidate 4+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production and DCO campaigns Strong numeracy and analytical skills with a good More ❯

Cutting-edge trading fund operating at the intersection of data science, finance, and technology. Strategies are fully automated and deployed across global markets, leveraging advanced statistical methods, machine learning, and high-frequency execution. As we continue to scale, we’re seeking a sharp, detail-oriented Investment Risk Analyst to strengthen our risk function and help us stay one … etc.) Collaborate with quants and PMs to review model assumptions, position sizing, and leverage constraints Design dashboards, alerts, and tools for proactive risk monitoring Work with engineering to improve data pipelines and risk infrastructure Contribute to risk governance processes and internal reporting What We’re Looking For 2–5 years of experience in investment risk, preferably at a quant More ❯

Cutting-edge trading fund operating at the intersection of data science, finance, and technology. Strategies are fully automated and deployed across global markets, leveraging advanced statistical methods, machine learning, and high-frequency execution. As we continue to scale, we’re seeking a sharp, detail-oriented Investment Risk Analyst to strengthen our risk function and help us stay one … etc.) Collaborate with quants and PMs to review model assumptions, position sizing, and leverage constraints Design dashboards, alerts, and tools for proactive risk monitoring Work with engineering to improve data pipelines and risk infrastructure Contribute to risk governance processes and internal reporting What We’re Looking For 2–5 years of experience in investment risk, preferably at a quant More ❯

100m+ in funding 2 out of 3 managers promoted from within Trusted by global leaders in eCommerce & gaming Offices in New York, London & more 500+ employees + world-class Data Science team The Role High touch, data centric and product focussed Platform training, guidance and advice to clients to ensure optimum utilisation of the platform Ensure Enterprise … customers understand their customer data and drive actionable insights Desired Skills & Experience Enterprise Customer Success within B2B SaaS Highly analytical, comfortable presenting data insights High touch consultative approach More ❯

a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical More ❯

working with a well-funded Deep Tech GenAI startup that is reimagining mechanical engineering processes. They've assembled a world-class team from Cambridge, MIT, and Google across software, data science, theoretical physics, and computational geometry to build tools that transform large-scale engineering through machine learning and generative AI. They are now looking for a Senior Frontend … Core skills: Strong senior-level frontend expertise in JavaScript, React, and TypeScript Experience in functional programming (Elm, Haskell, WebGL) Proven track record in small, scaling teams BSc in Computer Science (or related discipline) from a leading university, or equivalent practical experience Ability to commute to London once a week Nice-to-haves : OpenGL, Vulkan, Python, Tailwind CSS, AI/ More ❯

leadership role at the intersection of AI, digital transformation, and public service. You'll be responsible for technical design and strategic direction of complex AI systems, spanning real-time data pipelines, automation, machine learning models, and legacy system integration. This role is mapped to the Government Digital and Data Profession: Lead Technical Architect and will help us build … technical communities, helping stakeholders understand and engage with complex AI systems. Make architectural decisions and assure technical quality across design, build and operate phases. Collaborate with policy, digital delivery, data science and engineering teams to align AI solutions with user needs and departmental goals. Embed robust security, ethical and governance practices into AI systems by design. Mentor other … AI technologies. 🧠 Essential Skills and Experience You’ll be expected to operate at or above practitioner or expert level across the following skill areas, as defined by the Digital, Data and Technology (DDaT) Profession Capability Framework: Architecture throughout the technical lifecycle – Expert Design and assure solutions from prototype through to production. Strategy design – Practitioner Align architecture with digital and More ❯

fintech startup revolutionizing financial experiences! With headquarters in New York and offices in London, we’re crafting AI-driven solutions that empower consumers. By leveraging cutting-edge technology, unique data, and agile processes, we're transforming how people interact with their finances. 💡 About the Role: We’re looking for an innovative AI Product Manager to lead the charge in … this might be the perfect fit! 🔑 What You’ll Do: Own the Product Vision: Define and execute strategies for AI-powered solutions. Drive Innovation: Partner with tech, design, and data teams to bring products to life. Research & Roadmap: Analyze fintech markets, emerging trends, and shape roadmaps. Experiment & Optimize: Test new ideas, gather user feedback, and make impact-driven decisions. … innovative digital products. 🔍 AI Knowledge: Familiarity with machine learning concepts and application limitations. 🌍 Industry Fit: Experience working in high-growth fintech or tech startups. 🤝 Team Player: Work across engineering, data science, and design teams to deliver magic. 🧠 Skills: Strong strategic thinking, problem-solving, and communication abilities. 🌟 Bonus Points For: ✅ Fintech-specific AI product development experience. ✅ Familiarity with US More ❯

You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure More ❯

enabled Martech products. Drive Execution: Translate complex business and customer needs into clear product requirements, user stories, and actionable delivery plans. Lead Cross-Functional Teams: Partner closely with Engineering, Data Science, and Marketing teams to build, launch, and iterate on products that deliver measurable value. Champion Innovation: Continuously research and integrate the latest advancements in AI and Martech … and marketing technology. Strategic Impact: Own a critical product portfolio and directly influence our company's strategic direction. Top-Tier Team: Collaborate with a world-class team of engineers, data scientists, and marketers to build amazing products. About Us- Landmark Group Our journey started in 1973 with a single store in Bahrain. Since then, we have grown into a More ❯

enabled Martech products. Drive Execution: Translate complex business and customer needs into clear product requirements, user stories, and actionable delivery plans. Lead Cross-Functional Teams: Partner closely with Engineering, Data Science, and Marketing teams to build, launch, and iterate on products that deliver measurable value. Champion Innovation: Continuously research and integrate the latest advancements in AI and Martech … and marketing technology. Strategic Impact: Own a critical product portfolio and directly influence our company's strategic direction. Top-Tier Team: Collaborate with a world-class team of engineers, data scientists, and marketers to build amazing products. About Us- Landmark Group Our journey started in 1973 with a single store in Bahrain. Since then, we have grown into a More ❯

operational pipelines Knowledge of regulatory and ethical requirements in Defence or other high-stakes industries Experience integrating assurance into ML Ops pipelines Degree or equivalent in AI/ML, data science, or related field Proven client-side leadership in regulated environments Desirable: Familiarity with generative AI safety challenges Publications or thought leadership in AI assurance Prior Defence or More ❯

operational pipelines Knowledge of regulatory and ethical requirements in Defence or other high-stakes industries Experience integrating assurance into ML Ops pipelines Degree or equivalent in AI/ML, data science, or related field Proven client-side leadership in regulated environments Desirable: Familiarity with generative AI safety challenges Publications or thought leadership in AI assurance Prior Defence or More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms … Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms … Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

involved in the following day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree More ❯

involved in the following day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree More ❯

Optimisation Lead live power trading and optimisation in UK short-term markets. Develop and implement intraday and day-ahead trading strategies, enhancing models, workflows, and desk tools. Collaborate with data science, market analysis, and trading teams to refine optimisation approaches. Monitor market trends, assess risks/opportunities, and manage exposure within limits. Document and maintain core strategies to More ❯

Optimisation Lead live power trading and optimisation in UK short-term markets. Develop and implement intraday and day-ahead trading strategies, enhancing models, workflows, and desk tools. Collaborate with data science, market analysis, and trading teams to refine optimisation approaches. Monitor market trends, assess risks/opportunities, and manage exposure within limits. Document and maintain core strategies to More ❯