{
  "job_id": "PzdGqU20lt1VgtOOAAAAAA==",
  "job_city": "London",
  "job_state": null,
  "job_title": "Marketing Data Scientist",
  "job_salary": null,
  "job_country": "GB",
  "job_benefits": null,
  "job_latitude": 51.5072178,
  "job_location": "London",
  "job_onet_soc": null,
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "Hays",
      "apply_link": "https://www.hays.co.uk/job-detail/marketing-data-scientist-london_4783119?jobSource=HaysGCJ"
    }
  ],
  "employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTfMkY6IKILC8qcBX26ZLYdVoWz9udEV5cAAk3i&s=0",
  "employer_name": "Hays",
  "job_is_remote": false,
  "job_longitude": -0.12758619999999998,
  "job_posted_at": "3 days ago",
  "job_publisher": "Hays",
  "job_apply_link": "https://www.hays.co.uk/job-detail/marketing-data-scientist-london_4783119?jobSource=HaysGCJ",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "Your new company\nA leading consultancy is seeking a Senior MMM/Marketing Effectiveness expert to join their growing London team. Operating across major international markets, the organisation partners with major brands to deliver data‑driven marketing effectiveness, customer analytics, and AI‑powered decisioning. With strong values, a collaborative culture, and a reputation for innovation, this is an excellent opportunity to step into a high‑impact role within a well‑established, mission‑driven environment.\n\nYour new role\nAs a Senior Data Scientist specialising in Marketing Mix Modelling and Marketing Effectiveness, you will lead the delivery of end‑to‑end marketing effectiveness programmes for global clients across various sectors.\n\nKey responsibilities:\n• Own full MMM project cycles — from data strategy and modelling to insights, activation, and client recommendations.\n• Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets.\n• Produce dashboards, decisioning tools, and visual analytics using internal frameworks.\n• Translate technical outputs into clear, strategic recommendations for senior stakeholders and C‑suite decision makers.\n• Act as day‑to‑day contact for clients, supporting workshops, presentations, and commercial conversations.\nWhat you'll need to succeed\n• 3+ years’ experience in marketing effectiveness (MMM), advanced analytics, or data science.\n• Strong technical capability in Python, R, SQL; experience with cloud platforms (Azure, Databricks) beneficial.\n• Solid grounding in econometrics, regression modelling, Bayesian approaches, or advanced statistical techniques.\n• Proven experience turning analytical outputs into actionable commercial insights.\n• Confident communicator with strong client‑facing skills and the ability to lead multiple workstreams simultaneously.\n• A collaborative mindset with a passion for coaching and developing junior team members.\nWhat you need to do now\nIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.\nIf this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.\n#4783119 - Sam Jones",
  "job_google_link": "https://www.google.com/search?ibp=htl;jobs&q=data+scientist+in+London,+UK+jobs+in+the+last+month&htidocid=PzdGqU20lt1VgtOOAAAAAA%3D%3D&hl=en-GB&shndl=37&shmd=H4sIAAAAAAAA_xXLIQ4CMRAAwGBP8ADUakQLJBiwJCBA8YDLXtm0hbLbdFcc7v7AD3kJYMZNN8269QXbgyxzhAMawjVkYstq8JnecJcBlLCFBMJwFImFFvtkVnXnvWpxUQ0tBxfk6YVpkNH_kv7pNWGjWtCo32xXo6scl_MTvhQyw1n4JvwFoegFKIMAAAA&shmds=v1_ATWGeeO8FZXzQ3mfBmW13YvkQ17I9g_K7GsJQjkBmA9SGgHteg&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq=data+scientist+in+London,+UK+jobs+in+the+last+month&htidocid=PzdGqU20lt1VgtOOAAAAAA%3D%3D",
  "employer_reviews": null,
  "employer_website": "https://www.hays.com",
  "job_onet_job_zone": null,
  "job_salary_period": null,
  "job_salary_string": null,
  "job_apply_is_direct": false,
  "job_employment_type": null,
  "job_benefits_strings": null,
  "job_employment_types": [],
  "job_posted_at_timestamp": 1774396800,
  "job_posted_at_datetime_utc": "2026-03-25T00:00:00.000Z"
}