Senior Data Science Consultant, Customer Data & Technology

CAPGEMINI ENGINEERING
London
5 days ago
Create job alert

Why Join frog

Since June 2021, frog has been part of Capgemini Invent. We partner with customer-centric enterprises to drive sustainable growth by building and orchestrating experiences at scale, harnessing the power of data and technology. We are inventing the future of customer experiences through market-defining business models, products, services, brand engagements, and communications.

Joining frog means becoming part of the pond, a global network of studios with a vibrant in-person and virtual culture. Our frogs are curious, collaborative, and courageous, united by a passion for improving the human experience across various domains, bringing diverse skills and experiences. We leverage our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that make an impact. We value humor, positivity, community, performance, and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog empowers you to make a mark on every project, in your studio, community, and the world at large.

An Overview Of The Role

We are seeking a highly skilled Senior Consultant with at least 5 years of hands-on experience, including 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in customer behavior analytics, marketing, commercial, web, or product analytics, with domain knowledge in marketing, customer, digital, and commercial sectors. Strong project management and people management skills are also essential.

What We Look For

  • Proven experience in data science, especially in Generative AI and LLM development and evaluation.
  • Hands-on experience in customer behavior analytics, marketing, commercial, web, or product analytics, focusing on customer experience.
  • Experience in building and evaluating Generative AI solutions and LLMs for various use cases.
  • Ability to develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models.
  • Experience working with diverse data sets such as transactional, digital, social, and loyalty data.
  • Proficiency in programming languages like Python.
  • Knowledge of cloud platforms and tools for data science and machine learning.
  • Experience with visualization tools like Power BI or Tableau.
  • Ability to collaborate with cross-functional teams to understand business challenges and create valuable solutions.
  • Proven project management experience, including planning, execution, and delivering AI/ML POCs, MVPs, and production solutions.
  • People management skills, including mentoring and developing team members.

It Would Be a Bonus If You Have

  • Experience in primary growth sectors such as Consumer Products & Retail, Energy, Utilities, Telecommunications, or Public Sector.
  • Familiarity with Agentic AI development.
  • Knowledge of ethical considerations in AI and data science.
  • A curious mindset and interest in the latest AI, machine learning, and data science advancements.

Need To Know

We actively promote inclusion and create environments where you can bring your whole self to work. We support a positive work-life balance through hybrid and flexible working arrangements. All UK employees can request flexible work options.

CSR

We focus on using technology for positive social impact, reducing our carbon footprint, and improving access to the digital world. Recognized as one of the worlds most ethical companies by Ethisphere for ten years, we do the right thing. While based in London, the role may require periods away from home.

We offer a flexible benefits package tailored to individual circumstances, with a variable component based on performance.

About Capgemini Invent

Capgemini is a global business and technology transformation partner, helping organizations transition to a digital and sustainable world. With over 55 years of heritage and 340,000 employees worldwide, we deliver end-to-end services from strategy and design to engineering, leveraging strengths in AI, cloud, and data, supported by deep industry expertise. In 2023, our global revenues were €22.5 billion.

More information is available at:https://www.capgemini.com/gb-en/service/invent

J-18808-Ljbffr

Related Jobs

View all jobs

Only 24h Left! Senior Data Science Consultant, Customer Data& Technology - London

Senior Data Engineering Consultant

Senior Microsoft SQL Developer - Fintech SaaS. Full Remote

Senior Microsoft SQL Developer - Fintech SaaS. Full Remote

Senior Microsoft SQL Developer - Fintech SaaS. Full Remote

Senior Planning Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Jobs

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.