Data Scientist (UK)
Featurespace is the world leader in Adaptive Behavioural Analytics machine learning software. We block fraud in real time and help organisations outsmart risk by spotting criminals and customer’s behavioural anomalies - our mission is to make Featurespace the technology of choice for fraud and risk management.
We are very much a human company not just a tech company and our biggest asset is our people. Our enthusiastic, dynamic and ambitious team is led by CEO Martina King - one of the 25 Most Influential Women in Payments 2018 and one of Grant Thornton's Faces of a Vibrant Economy 2017.
We’ve had consecutive years of outstanding growth and commercial success, named a Tech City 'Future 50' company for 2018 and Deloitte Tech Fast 50 Company for 2016 and 2017.
The Opportunity
Advanced data science is the foundation of our unique technological approach at Featurespace and is the driving force behind our ongoing business success.
To maintain our lead at the cutting-edge of analytics, Featurespace is looking for an Data Scientist who will contribute to the successful application of our technology and help to grow our business.
As part of Featurespace’s Data Science team, you will be building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.
If you have an acute analytical mind, and would enjoy applying your energies and skills to real-world commercial problems to deliver value to customers, then we would like to hear from you.
Day to Day
- End-to-end processing and modelling of large customer data sets
- Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
- Developing statistical models and algorithms for integration with Featurespace products
- Applying analytical theory to real world problems on large and dynamic datasets
- Producing materials to feedback analytic results to customers (reports, presentations, visualisations)
- Providing input into future data science strategy and product development
- Working with development teams to support and enhance the analytical infrastructure
- Working with QA teams to advise on effective analytical testing
- Evaluating and improving the analytical results on live systems
- Developing an understanding of industry data structures and processes
About You
Required skills:
- Degree-level qualification in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering - or equivalent experience
- Experience of applying practical machine learning algorithms to real-world data
- Experience in implementing statistical models and analytical algorithms in software
- Practical experience of the handling and mining of large, diverse, data sets
- Ability to understand complex systems quickly
- Problem solving skills (especially in data-centric applications)
- Strong, clear, concise written and verbal communication skills
- Technical and analytical skills with the ability to pick up new technologies and concepts quickly
- Ability to manage and prioritise personal workload
- Constructive participation in system architecture/design discussions from an analytical perspective
- Ability to manage and prioritise personal workload
- Technical and analytical skills with the ability to pick up new technologies and concepts quickly
Desirable experience:
- A PhD or other postgraduate qualification would be an advantage but is not essential
Personal Qualities
The work is often challenging and fast paced. We are looking for someone who has the following qualities:
- Enjoys working in a team of like-minded and intelligent people to solve complex problems
- A focus on personal achievement and responsibilities
- A passion to learn new skills and technologies
- Attention to grammatical detail, layout and presentation
- A passion to work for one of the fastest growing fraud prevention technologies in the world
- Enthusiasm
And most importantly, a small-company attitude: willingness to adapt to a variable role and a great can-do attitude.
Salary & Benefits
We believe in giving you the resources you need so that innovation can thrive.
In addition to competitive salaries, we offer:
- Quarterly bonus awards
- 25 days’ annual leave plus bank holidays
- Growth share scheme
- Generous pension scheme
- Career growth, training and mentoring opportunities
- Weekly team takeaway delivered to the office
- Quarterly social, team building events
- Weekly lunchtime sports clubs and virtual social activites
- Discounted gym membership and daily virtual exercise classes
- Fridges full of treats and drinks for lunches and snacks
- Freshly ground coffee machines and a selection of teas and other hot drinks
- Weekly board game evenings with pizza
- Cycle to Work scheme