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# Consultant/Senior Consultant- Data Science & AI- customer centric

- **Company:** Datatech Analytics
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Customer Data Management, Github, Python (Programming Language), Machine Learning, Software Construction, Large Language Models, Generative AI
- **Published:** November 7, 2026
- **Apply:** https://datatech.org.uk/job/consultant-senior-consultant-data-science-ai-customer-centric-61324159/?form=apply#wpjb-scroll

## About the Role

Around 2- 4 years of commercial Data Science experience

Strong Python programming skills

Experience using GitHub and software engineering best practices

Practical experience applying Generative AI and LLMs to real-world customer, marketing, digital, CRM, or commercial challenges

Hands-on experience building, evaluating, and deploying Machine Learning models in production environments

Proven end-to-end ownership of Data Science or GenAI projects -from identifying opportunities and shaping solutions through to model development, deployment, implementation, and value delivery

Experience working with customer, marketing, CRM, web, digital, or product datasets

Strong communication skills and an interest in client-facing consulting work

## Description

Looking to take the next step in your Data Science consulting career? We're working with a leading global consultancy that is growing its Customer Data & AI practice. This is an exciting opportunity for a Data Scientist with around 2- 4 years of experience to work on cutting-edge projects across Generative AI, customer analytics, personalisation, and digital transformation. You'll help leading brands unlock the value of their customer data, delivering AI and data science solutions that drive better customer experiences and measurable commercial outcomes.

What You'll Be Doing

Designing, developing, and deploying Generative AI solutions for customer, marketing, CRM, and digital use cases

Working with Large Language Models (LLMs) to build and evaluate AI-powered products and solutions

Owning projects across the full data science lifecycle- from problem definition and solution design through to model development, deployment, testing, and business adoption

Applying advanced analytics to customer behaviour, personalisation, marketing performance, and digital journey optimisation

Building predictive, classification, forecasting, and recommendation models that drive commercial decision-making

Collaborating with multidisciplinary teams and client stakeholders to solve complex business challenges

Translating technical outputs into actionable business recommendations