Job description

Job Description

Overview of the Role :

The Insights practice is part of Capgemini’s global Insights & Data group; our goal is to help the organisations we work with become truly ‘insight driven’, to fully exploit their data using the convergence of Cloud and Artificial Intelligence to deliver real business value. We marry the most innovative insights solutions with rock solid, industrialised engineering.

Job Profile

We are looking to bring in people at senior level, so whilst the list of skills below is fairly heavy, we want some who can excel in some of the below and lead by example.

  • Detailed knowledge on a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.)
  • Experience using Python, R or Spark to extract insights from data
  • Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important)
  • Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)
  • Software engineering practices (coding practices to DS, unit testing, version control, code review)
  • Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming)
  • Deep understanding of data manipulation/wrangling techniques
  • Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm)
  • Delivering insights using visualisation tools or libraries (Javascript preferred)
  • Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform)
  • Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.
  • Ability to translate business requirements into plausible technical solutions for articulation to other development staff.
  • Experience designing Data Science deliveries, planning projects and/or leading team

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion.

Get the Future You Want | https://www.capgemini.com

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