Principal Data Scientist
AI, Machine Learning and Predictive Modeling
The Experian DataLabs UK&I and EMEA are based in London. (Although our teams are working from home) The team is dedicated to advanced research and development, and benefits from the mentality and drive of a start-up, combined with the backing of a resourceful corporation. This environment encourages innovation by supporting ambitious, rewarding and risky projects, even if they’re likely to fail.
You will be part of the Experian DataLabs UK&I and EMEA. This is a primarily hands-on position where you will be empowered to be ambitious and bold, using whatever tools and methodologies to contribute in developing models and solutions that solve challenging problems and have the potential to directly and substantially impact Experian’s future. The position may also require mentoring/management of junior members of the team.
The role requires that you have an extensive background in machine learning and data mining. A proven track record in inventing and modifying advanced innovative algorithms and applying them to large data sets to solve difficult business problems, is essential. You will be a team player who is eager to both teach and learn on a daily basis, who is proactive and self-motivated and has excellent communication skills.
To understand more about our work, please consult our blog post and our papers, and some of our incubated products: Fairness-as-a-service, Transactional-data-categorization-service and Experian Boost.
Key job functions
Could this role be for you?
Desired Skills and Experience
We are looking for ambitious scientists with an exceptional academic background, an ideal blend of coding, machine learning and statistics, a colleague with whom we can share the enjoyment of being curious, the interest in difficult mathematical and algorithmic problems, and the drive to be innovative in building predictive models as well as in the way society deals with sensitive data.
We would like you to have:
It would be fantastic if you also have:
Deep knowledge with graphical models, Bayesian networks, Gaussian processes, MCMC, hidden Markov models, causal inference, and social network analysis.
From collaborative workspaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.
Our colleagues’ health and wellbeing is a top priority for us, that’s why our reward, benefits and wellbeing programmes are designed so you can come to work feeling your very best self. Our benefits focus on health, money and lifestyle so you can tailor your benefits to your own personal needs. Whether it’s your physical and mental wellness, getting to work or planning for the future, we have a range of flexible options to have you covered!
We are committed to building an inclusive culture and to creating an environment where people can balance successful careers with their commitments and interests outside of work. Our flexible working practices support our belief that this balance brings long-lasting benefits for our business as well as our people. Some roles lend themselves to flexible options more than others, and if this is important to you, we are open to discussing agile working opportunities during the hiring process.