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. We continue to grow and need to add to our talented team with other, experienced, Big Data Analytics SME’s. If you are keen on working on some truly cutting edge programmes, learning new technologies and techniques and joining a team with like minded big data architects, engineers and scientists, then click the link below and apply now.

The focus of your role

You will be working on truly groundbreaking enterprise data science programmes that brings together the best of commercial and open source technologies  for a groundbreaking effect. You will be joining a team that are constantly evolving to exploit emerging technologies and techniques, and pride ourselves on their technology flexibility. The team that you join have Data Scientists 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? 

What you'll do

If you have ‘been there and done it’, if you’ve designed and implemented Enterprise Data Science solutions then we would really like to explore possibilities with you.

  • You will be involved in the full life cycle of designing and delivering truly ground breaking  programmes, using a wide range of Open Source and COTS products.
  • Our projects are varied, sometimes you may be asked to help define a client’s data transformation roadmap (where does Data Science fit in).
  • Alternatively, rolling your sleeves up and creating innovative solution for a complex problem. 
  • We very much try to encourage a ‘leave your grade at the door’ mentality so everyone feels comfortable contributing to our innovation. We also have a great sense of community, we encourage sharing of ideas, we sponsor meet ups for your peers and have a large calendar of social events throughout the year.

What you'll bring

(will be dependent upon the grade, but if you can demonstrate some or all of these characteristics then we’d really like to talk to you)

Ideal Skill Set:

  • Detailed knowledge on a range of analytical techniques (e.g. Supervised and Un-supervised machine learning techniques, graph data based analytics, statistical analysis, time series, geospatial, nlp, sentiment analysis, pattern detection to name a few)
  • Experience using your Python or R for data science skills
  • Your knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important)
  • Software engineering practices (appreciate the importance of good coding practices to DS, unit testing, version control using git, code review…)
  • Database systems from which data science tasks might draw data (Hadoop,PostgreSQL, SQL, NoSQL, Graph, Lucene, Streaming)
  • Spark
  • Deep understanding of data manipulation/wrangling techniques
  • Use of Virtual Machines and Containers (Vagrant, Virtualbox, Docker)
  • Knowledge of Javascript for visualisation preferred. Any Experience crafting solutions with these technologies
  • Hadoop ecosystem (Cloudera, Hortonworks, IBM)
  • Cloud such as AWS/Azure
  • MPP systems

Eligibilty for SC clearance.

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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