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Data Scientist - Marketing Analytics & AI - West London


Job details
  • Avanti Recruitment
  • Richmond
  • 5 days ago

Data Scientist - Marketing Analytics & AILocation: West London or Leeds - HybridI’ve partnered with a boutique Tech and Data Consultancy that works with some of the world’s-leading brands across retail, telecommunications, sports, and FMCG sectors to find a Data Scientist to join their team.As the first Data Scientist on the Analytics team, you will be influential and work with autonomy from the start to build Machine Learning models for large client data sets. You will work on a variety of client projects and drive their Data Science approach.Key Responsibilities * You will design and implement production-ready machine learning models for marketing attribution, customer behaviour analysis, and next-best action recommendations * You will provide expert consultation on advanced analytics, data engineering best practices and scalable data products that drive client decision-making * You will communicate complex technical findings to non-technical stakeholders * Champion AI adoption across client projects, identifying and implementing innovative solutionsTo be considered you will have proven experience in many of the following: * A proven track record in delivering data science projects focused on marketing, sales, and customer experience optimization * Expert knowledge of machine learning techniques including clustering, classification, and regression * Strong production-level coding skills in Python and SQL * Experience with major cloud platforms (AWS, Azure, or Google Cloud) * Proficiency with data warehousing technologies (Databricks, BigQuery, or Redshift) * Experience with data visualization tools (Tableau, Power BI, or similar) * Competent with Git for version control * Knowledge of digital behavioural data analytics (e.g., GA4 or Adobe Analytics) is advantageousSalary: £75,000 - £80,000 + 28 days holiday + Pension + Life Assurance + Private HealthcareLocation: West London or Leeds – Hybrid working 1-2 days a week in the office.Duration: PermanentApply NOW for an interview in the next week

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