The focus of your role
Do you want to make a real difference in your career, a difference that affects people’s lives and transforms the way companies and government operate? Do you want to amaze people, to take them on a journey and show them something truly impactful? Do you want to be at the forefront of the AI revolution?
This is what we are doing at Capgemini.
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.
We want passionate, energetic people who live and breathe all things AI, whether that be machine learning, deep learning, computer vision and so on, combined with great software engineering skills. We want you to be thinking ‘how can I use what I know?’, ‘what do I need to learn?’ in order to help your client achieve their business goals.
What you’ll do
We don’t really have a typical day or typical project at Capgemini. Our clients expect advice, proof-of-values, industrialised solutions; we work on small and very large engagements and we work across several different sectors, including public, CPG, retail, manufacturing and utilities. If you aren’t on a project, you could instead be involved in a bid, doing some training, working on a point-of-view, building a demo or contributing to our blog series (tips from recent new joiners, who we are happy for you to speak with, is just ‘get stuck in’). In recent months, we’ve done some pretty cool stuff, like used Tensor Flow in a model looking at acoustics of voice recordings, used ESA radar data to classify UK vegetation and massive scale Spark for image processing at an O&G client.
What you’ll bring
We are looking to bring in people at all levels, so whilst the list of skills below is fairly heavy, please do get in touch even if you only have two or three.
· 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, Azure Machine Learning, 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)
· 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 teams
Appropriate to your level of seniority, we would be looking for team and project leadership credentials, potentially experience in pre-sales and bid-responses, and evidence of having influenced clients and decision-makers.
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.
In the team we take career progression seriously; many of the Insights & Data UK management and practice leads did not join in senior positions, rather they were given the opportunities from within to progress. We really do try to balance the needs of the business with the needs and aspirations of the individual; it is in our interests for our people to be happy and successful.
You may have any of our UK offices as a base location and would need to be fully flexible in terms of assignment location, as these roles may involve periods of time away from home during the week at short notice.
Why we’re different
At Capgemini, we help organisations across the world become more agile, more competitive and more successful. Smart, tailored, often ground-breaking 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 is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought