76 to 92 of 92 Marketing Analytics Jobs in London

As an Customer Success Manager, you will leverage your Retail Media expertise to drive success for a portfolio of well-known global brands. Build and optimize successful retail media marketing campaigns primarily across Amazon, but broader marketplace knowledge a big plus! Utilise digital marketing analytics to interpret campaign trends, make performance recommendations and tell the story behind … your clients’ KPIs Identify new marketing opportunities to optimize brand awareness and drive sales Desired Skills & Requirements Proven Retail Media/Commerce expert, confident working with high-value global brands Expert in Amazon Ads, with additional marketplaces a bonus! Highly strategic, comfortable managing and developing relationships with senior stakeholders Data-driven with strong attention to detail To apply for More ❯

As an Customer Success Manager, you will leverage your Retail Media expertise to drive success for a portfolio of well-known global brands. Build and optimize successful retail media marketing campaigns primarily across Amazon, but broader marketplace knowledge a big plus! Utilise digital marketing analytics to interpret campaign trends, make performance recommendations and tell the story behind … your clients’ KPIs Identify new marketing opportunities to optimize brand awareness and drive sales Desired Skills & Requirements Proven Retail Media/Commerce expert, confident working with high-value global brands Expert in Amazon Ads, with additional marketplaces a bonus! Highly strategic, comfortable managing and developing relationships with senior stakeholders Data-driven with strong attention to detail To apply for More ❯

As an Customer Success Manager, you will leverage your Retail Media expertise to drive success for a portfolio of well-known global brands. Build and optimize successful retail media marketing campaigns primarily across Amazon, but broader marketplace knowledge a big plus! Utilise digital marketing analytics to interpret campaign trends, make performance recommendations and tell the story behind … your clients’ KPIs Identify new marketing opportunities to optimize brand awareness and drive sales Desired Skills & Requirements Proven Retail Media/Commerce expert, confident working with high-value global brands Expert in Amazon Ads, with additional marketplaces a bonus! Highly strategic, comfortable managing and developing relationships with senior stakeholders Data-driven with strong attention to detail To apply for More ❯

As an Customer Success Manager, you will leverage your Retail Media expertise to drive success for a portfolio of well-known global brands. Build and optimize successful retail media marketing campaigns primarily across Amazon, but broader marketplace knowledge a big plus! Utilise digital marketing analytics to interpret campaign trends, make performance recommendations and tell the story behind … your clients’ KPIs Identify new marketing opportunities to optimize brand awareness and drive sales Desired Skills & Requirements Proven Retail Media/Commerce expert, confident working with high-value global brands Expert in Amazon Ads, with additional marketplaces a bonus! Highly strategic, comfortable managing and developing relationships with senior stakeholders Data-driven with strong attention to detail To apply for More ❯

corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable scalable decision-making. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable scalable decision-making. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision … emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision … emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision … emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision … emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful … consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas … complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful … consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas … complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products More ❯

accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential … and implement scalable, secure, and high-performing customer data architectures. You will work with cross-functional teams to define data strategies, architect solutions, and enable data readiness for AI, analytics, and customer engagement platforms. This role sits within Accenture’s Data & AI practice, delivering end-to-end solutions from data strategy to core engineering. Key Responsibilities Architect modern customer … Mentor junior team members and support capability development within the practice. Required Skills & Experience Strong experience in data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP More ❯