101 to 117 of 117 Permanent Customer Analytics Jobs

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion ...

Senior Consultant, you will work in various teams to service global clients on key accounts across multiple continents to deliver marketing and customer analytics projects that lead to significant, value-led transformations. You will support Managers by acting as a project lead for clients. You will understand client … real, valuable, actionable insights for clients defining their marketing and strategic direction Lead projects with globally recognised brands Manage and lead end-to-end analytics projects, including planning, design and implementation Lead a team of 3-8 consultants About You/Qualifications Strong knowledge and experience in Marketing ...

Ekimetrics in London is seeking a Junior Consultant to blend data science with strategic consultancy, delivering bespoke marketing analytics for international clients across industries. You will work on econometrics, MMM and customer analytics end-to-end, building models, analysing data, and presenting insights. The role offers early … responsibility, cross-functional collaboration, and a clear path in a fast-growing analytics leader. #J-18808-Ljbffr ...

days in office)Barclay Simpson is supporting an established banking organisation in the appointment of a Senior Manager to lead its advanced credit risk analytics capability within the second-line risk function. This is a strategic but highly hands-on leadership position, combining people management, technical delivery and senior … stakeholder engagement. The successful candidate will lead a team of five analysts and take ownership of the direction, prioritisation and delivery of analytics work across the credit risk function. The role is focused on modernising the way risk data is analysed, automated and communicated. This will include developing scalable ...

year Data Science & AI Graduate Programme. You’ll train models, deploy scalable solutions and apply AI to real banking challenges across fraud, risk and customer analytics. Over two year-long rotations, with hybrid office/home working, you’ll learn from a dedicated mentor while using Python, SQL, cloud ...

Role Data Management and Analytics-Data Ops/Data Analyst Experience (In Years) 3-6 Job Location london Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with … Summary of the role: EXL is looking for a Data Analyst with a passion for sports who will play a key role in providing analytics support to a client within our Sports, Media and Entertainment practice. Based in London, the role sits within the International Fan Data & Analytics ...

master Python, SQL and cloud platforms, work on generative AI, AI governance and MLOps, gaining hands-on experience across fraud detection, credit risk and customer analytics in a supportive, ethics-first environment. #J-18808-Ljbffr ...

growth, expanding from strong foundations into a scaled, multi-product platform. Over the last 18 months they have invested heavily in brand, creative, customer AI, and app-led growth, with performance marketing emerging as a critical capability. They are now building a strategic layer that links daily performance activity … media across Meta, Google, Apple Search and emerging channels * Creating frameworks for incrementality, experimentation, and test-and-learn best practice * Partnering closely with Product, Customer Analytics, LTV, and MarTech to drive full-funnel growth * Embedding AI-driven optimisation and workflow improvements Your Skills and Experience You will bring ...

hybrid blend of office and home working. You will train models, deploy scalable AI solutions and gain exposure to fraud detection, credit risk, customer analytics and smarter banking tools. The programme features a structured learning plan, access to Stanford certifications, and hands-on rotations designed to accelerate your ...