Marketing Data Scientist

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You may have any of our UK offices as a base location. Fully flexible in terms of assignment location, as these roles may involve periods of time away from home during the week at short notice.

Who you'll be working with

The Big Data Analytics team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors.

Enterprise Data Science is driving our growth; we have a fantastic, sizeable team already but that isn’t enough to keep up with the demand we are facing.  Our Data Scientists come from all sorts of backgrounds, but all share the same characteristics; they have a passion for data science, expertise in advanced maths and statistics, great software engineering skills and top notch comms...does this sound like you? Then click the link below and apply now.

The focus of your role

In Capgemini we consider Data Science to be much more than Machine Learning. This is at the core of our capabilities, but we go further to include the power of a much broader range of analytical techniques and data approaches (for example graph, NoSQL, and Lucene). We also work closely with business analysts to ensure the insights we discover are true business insights that can be acted upon.

Capgemini offer successful candidates the opportunity to work on truly enterprise data science that brings the best of commercial and open source technologies together for a transformational effect. We are constantly evolving to exploit emerging technologies and techniques, and pride ourselves on our technology flexibility.

What you'll do

  • You will be responsible for creating a capability to listen, analyse and engage with consumers like never before!
  • Working closely with marketing teams, you will help them run more effective marketing campaigns and evolve them in real time, based on customer reaction online.
  • Where new insights are discovered, you will work with the business to establish them as ‘business as usual’ services.
  • Part of a multi-disciplinary team, you will build upon the existing capabilities and develop new customer engagement ways.

What you'll bring

  • Detailed knowledge of a range of analytical techniques with a preference for Natural Language Processing (NLP) and sentiment analysis
  • Social listening experience
  • Hands on experience using R for data science (or Python)
  • Good knowledge of various database systems from which data science tasks might draw data (Hadoop,PostgreSQL, SQL, NoSQL, Graph, Lucene, Streaming)
  • Strong interpersonal skills with the ability to work with clients to establish requirements in non technical language.
  • Able to translate business requirements into plausible technical solutions for articulation to other development staff.

What we'll offer you

Professional development. Accelerated career progression. An environment that encourages entrepreneurial spirit. It’s all on offer at Capgemini. And although collaboration is at the core of the way we work, we also recognise individual needs with a flexible benefits package you can tailor to suit you.

Why we're different

At Capgemini, we help organisations across the world become more agile, more competitive and more successful. Smart, tailored, often-groundbreaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.

Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients.  We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs.


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