기본

Data Scientist

london (city of london), south east england, United Kingdom 회사: JR UK 클라이언트 / 고용주: TechNET IT Recruitment Ltd
게시됨: 19.05.2026
마감일: 03.07.2026
직무 추천서: c11234ae4805741b729e8b786261f95b

직무 정보

위치
london (city of london), south east england, United Kingdom
회사
JR UK
클라이언트 / 고용주
TechNET IT Recruitment Ltd
직무 추천서
c11234ae4805741b729e8b786261f95b
목록 유형
기본
EU 취업 허가 필요
아니
게시됨
19.05.2026
마감일
03.07.2026

직무 설명

Senior Consultant – Data Science & Marketing Effectiveness (MMM)

London (Hybrid) | £40,000–£55,000 + 10% Bonus


I’m currently working with a leading global analytics consultancy that specialises in marketing effectiveness and AI-driven solutions, supporting major international clients across retail, automotive, financial services, and consumer sectors.


They are looking for a Data Scientist to join their growing team, focusing on Marketing Mix Modelling (MMM) and broader marketing effectiveness projects.


This is an excellent opportunity for someone early in their career to work on high-impact analytics projects, gain exposure to global clients, and develop strong modelling and consulting skills in a structured, fast-paced environment.


The role:

  • Work on MMM and marketing effectiveness projects from data through to insight
  • Analyse marketing, customer, and campaign data to drive performance improvements
  • Build and apply statistical models (regression, econometrics, Bayesian methods)
  • Support development of dashboards and visualisations
  • Translate analytical outputs into clear business recommendations
  • Collaborate with senior consultants and contribute to client delivery


What they’re looking for:

  • 1–3 years’ experience in data science, analytics, or marketing analytics (including internships)
  • Strong skills in Python, R, SQL, or similar tools
  • Exposure to statistical modelling (regression/econometrics)
  • Experience working with marketing, media, or customer data (or strong interest in this area)
  • Strong communication skills and interest in client-facing work


Package:

  • £40,000–£55,000 base salary
  • 10% performance bonus
  • Hybrid working (Central London office)
  • Strong training, progression, and international project exposure


If you’re interested in developing your career in marketing effectiveness and working on real commercial impact projects, feel free to reach out or send across your CV.

기술

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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