Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

frog - Data Science Customer Data & Technology - Consultant/Senior Consultant

Capgemini Invent
City of London
2 days ago
Create job alert
frog - Data Science Customer Data & Technology – Consultant/Senior Consultant

Join frog, part of Capgemini Invent since June 2021, to partner with customer‑centric enterprises and drive sustainable growth through data and technology. We are inventing the future of customer experience by delivering market‑defining business models, products, services, brand engagements and communications.


An Overview of the Role

Due to growth, we are seeking highly skilled Consultants and Senior Consultants to join frog Data. Our ideal candidate has experience in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation, as well as extensive background in customer behaviour analytics, marketing, commercial, web, or product analytics. Strong project management and people management skills are required.


Responsibilities

  • Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases.
  • Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models.
  • Work with diverse data sets (transactional/EPOS, digital, social, loyalty, etc.).
  • Utilise Python and other programming languages for data science workflows.
  • Use cloud platforms and tools for data science and machine learning.
  • Visualise data insights using Power BI, Tableau or other tools.
  • Collaborate with cross‑functional teams to understand business challenges and create valuable products/solutions.
  • Plan, execute and deliver AI/ML POCs, MVPs and production‑grade solutions.
  • Manage and mentor team members.

Qualifications

  • Proven experience in data science and Generative AI & LLM development.
  • Hands‑on experience in customer behaviour analytics, marketing, commercial, web or product analytics with a focus on customer experience.
  • Experience with various data sets such as transactional/EPOS, digital, social, loyalty.
  • Programming skills in Python.
  • Knowledge of cloud platforms and tools for data science and machine learning.
  • Project management experience delivering AI/ML solutions.
  • People management and mentoring skills.

Bonus / Preferred Skills

  • Experience in primary growth sectors: CPR (Consumer Products & Retail), ETU (Energy, Utilities, Telecommunications), PS (Public Sector).
  • Familiarity with Agentic AI development.
  • Understanding of ethical considerations and best practices in AI and data science.
  • Curious mindset and interest in the latest AI developments.

Need To Know

We are committed to inclusion and a positive work‑life balance. Hybrid working is embedded in all that we do, and all UK employees can request flexible working arrangements. London is the primary office but flexibility in assignment location is required.


Compensation & Benefits

We offer a remuneration package including flexible benefits options, variable elements dependent on grade and performance.


About Capgemini Invent

Capgemini Invent is a global business and technology transformation partner helping organizations accelerate their transition to a digital and sustainable world. With 340,000 team members in more than 50 countries, we deliver end‑to‑end services and solutions across strategy, design, engineering, AI, cloud and data.


#J-18808-Ljbffr

Related Jobs

View all jobs

frog - Data Science Customer Data & Technology - Consultant/Senior Consultant

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.