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.
We are looking for a Lead Data Scientist who will lead our team of talented AI Engineers and Data Scientists, helping to transform the way companies and government operate. You will be part of our Insights & Data Leadership Team and be responsible for defining and executing how we truly impact the way our customers get insight and value from data. Our team is on a growth trajectory and we are looking for someone to accelerate this growth.
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.
We are looking for someone who is an expert in Data Science and Artificial Intelligence and who can lead a team of people with a passion for helping our customers through delivering innovative and leading edge solutions. We are looking for someone with experience of leading teams of over 30 and someone who has a track record of developing eager and talented people. You will have experience in the majority of the following:
- 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)
- 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 and planning projects
- Experience in pre-sales and bid-responses
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.
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 identity, 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
We want to make sure that we find the right people to work in our teams, and we know that a traditional working week isn’t necessarily right for everyone. So we’d love to hear from you if you feel you’re a great fit for this role, and would like to work flexibly. As an example, some of our team members work four days a week, but travel across the UK during their working days. Or you might prefer to work three days a week (in a job share scenario) with travel limited to Greater London. If you are the right person for this role, we’ll find the right working approach for you.