AI Engineer – Insights & Analytics Consultancy - London (Hybrid) A next-generation insights and analytics consultancy, using advanced technology to help businesses unlock the value of digital consumer data are looking for an AI Engineer to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data Develop models and tools … wider team Work on a mix of proof-of-concept and full-scale projects that push technical boundaries Collaborate closely with cross-functional teams across data engineering, strategy, and analytics What we’re looking for Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including strong code design Proven experience building More ❯
infrastructure. In this role, you will oversee the development of our foundational data platform — encompassing experimentation frameworks, event ingestion pipelines, data lakes, governance frameworks, data observability, and real-time analytics capabilities. You will collaborate closely with data scientists, machine learning engineers, backend engineers, and product leaders to ensure our data systems are scalable, secure, observable, and foster innovation across the … Key Responsibilities Partner with cross-functional stakeholders in Product, Data, and Engineering to align strategic goals with platform capabilities. Lead and mentor 1–2 engineering squads focused on experimentation, analytics event logging, batch and real-time data infrastructure, observability, and governance. Define and drive the technical roadmap for a modern data platform, enabling reliable, scalable, and efficient analytics and machine … Kafka, and DBT. Proven success in building and managing data platforms supporting both batch and real-time processing architectures. Deep understanding of data warehousing, ETL/ELT pipelines, and analytics engineering principles. Proficient in programming languages such as Python, Scala, or Java, and experienced with cloud platforms (AWS, GCP, or Azure). Experience working with privacy-sensitive data and implementing More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Cornwallis Elt
This role will be based in their London office, with a hybrid working model (3 days per week in the office). You will join the Data Science and Analytics Team, working closely with the Data Science Manager to deliver key requirements for their Digital Division. In this role, you will be responsible for mining, cleansing, and analysing complex internal … statistical, data manipulation, and data analysis skills Strong Understanding in Data Science and AI Techniques for Automation Hands-on experience with tools such as Azure Data Factory, SQL, Synapse Analytics, and Power BI Strong organisational and planning skills This is an exciting opportunity for a progressing Data Scientist to be involved in a crucial delivery piece as well as further More ❯
ops teams Directly shape pricing infrastructure – monitoring customer and financial performance Track competitor movement and customer needs to inform decisions You’ll need: Proven experience leading pricing or monetisation analytics at a top-tier company Strong SQL and Python skills with confidence working with large-scale datasets A customer-centric mindset and a passion for problem-solving Data science foundation … with experience in modelling, ML experimentation, or advance analytics techniques Experience in a fast-paced start-up or scale-up environment (bonus) Background in payments, FX or remittance, where pricing plays a strategic role (bonus) This is an exciting opportunity to work alongside experts and make a tangible impact in a fast-growing, meaningful business. To learn more or express More ❯
Commercial, Product and Engineering. Tech toolkit Python (pandas, NumPy, scikit-learn) · SQL · Azure (migration in flight) · BI (Power BI/Tableau useful). Ideal background 3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings. Strong SQL and Python for big-data wrangling & modelling. Solid grasp of statistics, pricing or yield optimisation. Clear, concise communicator who can … translate numbers into action. Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches. Desired Skills and Experience Key experience & expertise 3-5 yrs analytics in high-volume trading, marketplace, media or e-commerce settings Advanced SQL + Python (pandas, NumPy, scikit-learn) for large-scale data wrangling & modelling Hands-on pricing/yield optimisation and causal analysis More ❯
Data Products within an Agile environment. Job Responsibilities as the Product Owner: Lead the development and rollout of data products that provide reliable and high-quality data to support analytics, machine learning, and personalised customer experiences. Collaborate across departments, including marketing, operations and others to design data solutions. Act as the point of coordination between stakeholders, data professionals, engineers, and … Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this Product Owner role sounds of interest, please apply for more information. More ❯
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 data science projects — all within a close-knit, supportive technical team. The Company A successful and privately-owned property investment and management organisation operating across the UK and … legal operations. System Upgrades: Helping implement a new, company-wide management and finance system — a major data and engineering project. What You’ll Need A strong interest in data, analytics, and technology A proactive, entrepreneurial mindset with a desire to learn and solve problems Excellent communication skills and confidence working with business stakeholders Tech Stack You’ll Learn SQL Looker More ❯
data environment for a leading organisation in the sports and entertainment space. This position will play a key role in developing scalable, high-performance data systems that power live analytics, performance insights, audience engagement, and strategic reporting. We’re looking for someone with a genuine enthusiasm for sports, strong expertise in data architecture, and the ability to navigate complex technical … and live systems, and establishing strong data governance practices. The position involves close collaboration with technical teams to ensure reliable, accessible data, managing cloud-based infrastructure, enabling real-time analytics, and continuously exploring new technologies to drive innovation in the sports and entertainment space. DATA ARCHITECT – ESSENTIAL SKILLS Strong experience in data architecture, database design, or similar roles Proven experience More ❯
display, retargeting), with a strong focus on ROAS and CAC Implement and optimize conversational AI chat experiences to increase engagement and accelerate lead qualification throughout the website Leverage various analytics tools to measure, report, and drive always-on optimization Bring a growth mindset and a culture of experimentation to the team, always iterating based on insights and data What You … Screaming Frog and Google Search Console Have clear understanding of how AI is reshaping search behavior to develop and execute AEO strategy Proven success in driving CRO tactics using analytics tools, A/B testing tools and personalization frameworks Strong background in website strategy and UX with the ability to drive performance and project manage web initiatives Deep knowledge of More ❯
to work independently while collaborating with cross-functional teams Experience with data analysis and metric definition is a plus Nice to Have: Prior experience in support systems , user behavior analytics , or knowledge base optimization Strong communication and storytelling skills using data More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Signify Technology
a client who are seeking for a Senior Data Engineer to join their growing data team. This role involves designing, building, and maintaining data pipelines and infrastructure to support analytics and business intelligence efforts across the organisation. The ideal candidate will have a strong background in handling large-scale data environments and a passion for creating scalable, efficient data solutions. More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Vallum Associates
risk management, market forecasting, and AI-led optimisation initiatives. Key Responsibilities Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with More ❯
for detail Excellent written communication, especially in technical explanations Bonus if you bring: Python, AWS Athena/S3, Power BI, or advanced Excel Background in Data Engineering, Computer Science, Analytics or related discipline Who might thrive in this role? We welcome applicants from all backgrounds — especially those seeking a steady, flexible role with purpose and structure. If you're a More ❯
skills. Native or fluent English Language Ability to work collaboratively in a team-oriented environment. 1-2 years' experience with Smartsheet's processes and tools Knowledge of CWM, CRM, analytics, or process automation tools. Entrepreneurial mindset with leadership potential and the ability to take initiative. Comfortable with technology and able to learn new software platforms quickly. Willing to travel periodically More ❯
project management methodologies. Experience with financial services products (banking, insurance, wealth management) is a plus. Knowledge of digital banking platforms , fintech solutions , and emerging financial technologies. Familiarity with data analytics and using insights to drive business decisions and design improvements. Strong network within the financial services industry. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations More ❯
East London, London, United Kingdom Hybrid / WFH Options
McGregor Boyall Associates Limited
GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform credit risk management and More ❯
Freshminds has partnered with a leading entertainment brand looking to hire a Commercial Analyst/Group Business Partner to drive key strategic initiatives within its Operations and Retail functions and support its Executive team. Working closely with senior management and More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Eames Consulting
We are working with leading insurance group operating within the Lloyd’s market who are looking for a Portfolio Analytics Analyst. You will report into the Portfolio Analytics Manager, and the role will require support across multiple disciplines to deliver tools to provide insights and improve underwriting performance, including support on design and embedding of pricing model, working collaboratively with More ❯
South East London, England, United Kingdom Hybrid / WFH Options
The JM Longbridge Group
Global organisation is hiring for an Analytics Engagement Manager – Sports Clients. This is a permanent role paying between £75K - £90K, depending on experience. The role is hybrid and requires 2 days in the office per week in London. This role is key in optimising go-to-market (GTM) strategies and supporting data-led marketing initiatives. This role is ideal for … experience and thrives in a fast-paced, collaborative environment. Responsibilities include: • Lead and oversee client initiatives and projects, ensuring seamless execution. • Own the problem solution – structure and deliver advanced analytics solutions. • Collaborate with client stakeholders to frame business projects and leverage data for optimal outcomes. • Use SQL and other tools to extract, analyse and interpret data. • Translate complex data into … attribution frameworks to evaluate GTM success. • Regularly present insights and strategy updates to management. • Translate business needs into data and reporting requirements. • Assist regional teams with audience segmentation and analytics strategies tailored to local market needs. Skills and Experience: • Degree-educated in either Sports Management, Marketing, Analytics, Business, Economics, or a related field. • Over 4 years experience with SQL, Python More ❯
Manager – Climate Risk Analytics My client, a tier 1 global bank are looking for a skilled quant finance professional to play a central role in shaping how climate-related financial risks are quantified and managed within a global trading business. This role is ideal for someone with a background in climate science and strong quantitative skills who’s ready to More ❯
South East London, England, United Kingdom Hybrid / WFH Options
MVF
The Role We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from More ❯
with leading brands across fashion, tech, lifestyle, and education . Active in 100+ markets , this business is data-first and digital at its core, driving innovation through experimentation, advanced analytics, and actionable insights. This is a fantastic opportunity to contribute to a high-growth, international environment where analytics and business impact go hand in hand. The Role and Responsibilities: This … is a hands-on and strategic analytics position, ideal for someone looking to blend technical expertise with commercial influence. You’ll have the option to grow into leadership or develop along a high-impact individual contributor (IC) path — both well-supported in the organisation. You'll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through … analytics, experimentation, and predictive modelling. Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning. Initial Focus Areas Marketing & Channel Measurement - Understand and optimise marketing investments and channel performance. User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value. Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and More ❯
Junior Quantitative Analyst – Hedge Fund A leading hedge fund platform is hiring a Junior Quantitative Analyst to support its central risk and analytics function. This is an excellent opportunity for a technically skilled early-career professional to gain exposure to portfolio analytics, risk modelling and investment data across a range of hedge fund strategies. You’ll join a small, collaborative … the delivery of regular reporting using Python, SQL and Power BI Contribute to model development including factor analysis and attribution Work closely with senior analysts, technologists and PMs on analytics projects Help refine and improve tools used for portfolio monitoring and strategy evaluation Candidate Profile: Strong academic background in a quantitative discipline (e.g. maths, finance, engineering, computer science) Hands-on More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Primus
build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts, and stakeholders to understand business requirements and translate them into technical solutions. Contribute to the modernisation of legacy data platforms and assist in greenfield … followed throughout. Troubleshoot performance issues and support existing solutions as needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield projects. Comfortable working independently in a … skills. Nice to Have: Experience with other Azure services such as Azure Data Lake, Databricks, or Power BI. Familiarity with DevOps/DataOps processes and tools. Microsoft Certified: Fabric Analytics Engineer Associate Start Date: ASAP or July start acceptable Apply now to join a forward-thinking team delivering impactful data engineering solutions across diverse environments. More ❯
South East London, England, United Kingdom Hybrid / WFH Options
CPS Group (UK) Limited
delighted to be working with a leading, global organisation to appoint a Senior Marketing Data Analyst for an initial 6-month duration. Being a key member of the EMEA Analytics & Insights team, this role is critical to the evaluation of strategic marketing initiatives to drive acquisition and improve retention. The Marketing Data Analyst will bring expertise in Marketing Analytics and … build marketing measurement roadmaps. Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of marketing investments. Partner with Analytics teams globally on model alignment and on-going development of marketing measurement methodologies. Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing More ❯