National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

Salt
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst - Instrument DataOps

Data Insights Analyst

Junior Data Analyst

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Senior Clinical Data Analyst

Customer Data Analyst

Retail

£60,000 - £70,000

London | Hampshire - 2 days a month


The Company:

A SUPER established UK retailer is looking for a Customer Data Manager to join their digital and data transformation efforts. With substantial investment in their data and analytics team, this position will play a crucial role in building a foundation for accurate and reliable datasets.


This role is a newly created role so this is a roll your sleeves up opportunity where you can really see the impacts of your actions.


Ideally, you’ll be well versed with large amounts of customer data.



The Role:

  • Under the guidance of the team’s data manager, create new models and enhance existing ones to analyse customer behavior. This may include churn models, time series forecasting, customer base value assessments, and other specialized, targeted models.
  • Contribute to develop new and improve existing customer features that can used in marketing activity and across the business, to both help target and describe customers.
  • Deliver complex descriptive and predictive customer behavioural analytics.


Requirements:

  • You have working knowledge in eitherPython or Rwith a strong ability to useSQL.
  • You have excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application.
  • You have had some experience using cloud based analytical platforms such asDatabricks, Snowflake, Google BigQueryetc.
  • You have experience applying machine learning and statistical techniques to solve real-world problems - You can use tools such asTensorFlow, PyTorch, Scikit-learn, and Kerasto build, train, and evaluate various machine learning models such as customer churn prediction, customer lifetime value estimation, customer segmentation, and recommendation systems.



Benefits:

  • VERY Hybrid working environment – 2 days in the office a month
  • Progression opportunities
  • Strong pension and bonus package



Looking for top data and analytics talent? Contact us to learn more about our recruitment services.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.