Data Scientist

You enjoy finding stories and truths in data. You want to help clients transform. You understand the importance of data in making informed decisions. You have a strong POV on how data is used now. You have a strong POV on how data can do more to help. You have an open mind to learning new techniques and approaches.

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• You’ll work with our data team and our partners to turn data into powerful, actionable insight & recommendations.
  
• You’ll be keen to develop client relationships and have a sharp brain and good foundational knowledge of data approaches and practices.
  
• You’ll help inform marketing direction with responsibility for working in to the lead data scientist and Fluency leadership team in the origination of brand and marketing metrics & analytics and deployment of new AI solutions.
  
• You’ll show the desire to create data-driven structures and narratives that drive impactful change across the marketing landscape.
  
• You’ll embrace an outcome oriented culture, where strategy & tactics are alive and help clients thrive
  
• In time you’ll lead day‑to‑day for select clients independently showing high levels of accuracy and acumen to develop these relationships beyond existing projects as appropriate.
  
• You’ll develop excellent client relationships and embed yourself in their businesses.
  
• You’ll contribute to Fluency’s own strategic development methodologies
  
• You’ll help disrupt the space working with best‑in‑class suppliers
  
• You’ll drive at your own knowledge base, actively deepening your skills
  

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• 5+ years’ experience of working in an analytics environment; client‑side or agency/consultancy
  
• Strong academic record, though not prerequisite at degree level.
  
• Genuine passion for data science (you would do it for fun!)
  

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• Desirable areas of study and experience of practical application: economics, maths/stats, data science
  
• Having previous client‑facing experience (speaking to clients and sharing your findings is in your comfort zone)
  
• Data science curiosity and evidence of practical application, looking to deploy newly acquired skills in a working environment under the supervision of data science leads
  

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• Excellent Excel
  
• Python, SQL, (R is also useful but not essential)
  
• Tableau or similar visualisation skills (past commercial/practical application)
  

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• Structural equation modelling capabilities
  
• Proficiency in machine learning techniques e.g. Bayesian, Decision tree, Clustering, Dimensionality reduction, Regression, Neural Networks.
  
• Interest in data visualisation and/or Java script experience
  
• Experience of using AWS or GCP
  
• Advanced database knowledge
  

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• Competitive salary, pension, life insurance, options for healthcare (upon qualification commensurate with length of service)
  
• Bonus pool
  
• Flexible with semi‑remote working
  
• Creative workspace
  
• Early opportunity in a start‑up culture, while enjoying M&C Saatchi’s larger platform
  

This role has a start date of January 2026.

For the right candidate, we will offer a competitive salary and benefits package which includes 27 days annual holiday, private healthcare, employer contributory pension, life assurance and income protection. We also offer a host of benefits that support wellbeing including subsidised gym membership, whilst our commitment to Diversity and Inclusion sees us offer learning opportunities around D&I, mentoring programmes and the opportunity for all to participate in a number of active Employee Led Networks and associated events. Finally, this role will be supported with all the necessary personal development required to set someone up for success.

M+C Saatchi Group has pledged its commitment to create a company that values difference, with an inclusive culture. As part of this M+C Saatchi Group continues to be an Equal Opportunity Employer which does not and shall not discriminate, celebrates diversity and bases all hiring and promotion decisions solely on merit, without regard for any personal characteristics.

If you require any reasonable adjustments throughout the recruitment and selection process, please make us aware as part of your application.

All employee information is kept confidential according to General Data Protection Regulation (GDPR).