Globally, 1.7 billion people lack a bank account while two thirds out of this population have a mobile phone. The Experian MicroAnalytics started from this observation to become a gateway between the Telco and the banking world. We bring high risk management standards to the mobile world through our solutions with the permanent objective to fast-track deployments. The MicroAnalytics products and services individually assess the risk and opportunity of offering specific products and services to telco subscribers and mobile wallet users, thereby helping telcos increase ARPU, reduce churn, grow purchase volume and ultimately increase consumer satisfaction.
The MicroAnalytics business today provides products and services to clients in Europe, Asia, the Middle East, Africa and South America. By combining multiple Telco data attributes, we build a Telco score that empowers Financial Institutes to make more informed decisions on credit applications for bureau invisible or thin file clients.
We are currently looking for a Senior Data Scientist to join our team and support the Experian MicroAnalytics by leading an advanced research and development; enhance relationship with client and develop and provide new innovative solutions. The role holder will be responsible for guiding the team in inventing and modifying advanced innovative algorithms and applying them to large data sets to solve complex business problems. The role holder must be able to balance and prioritise multiple projects; anticipate obstacles, and deliver high quality outputs.
What you'll be doing:
- Be responsible for the design and delivery of new business solutions to clients; Understand and anticipate client needs; Design a business solution and ensure the team can deliver successfully
- Ensure full understanding of client requirements and be responsible for developing new solutions and enriching their product base.
- Oversee and facilitate the training of a range of Machine Learning models; evaluate the quality of the trained models, using existing and new measures
- Lead the process of building a model (churn, propensity or loss) using Decision Analytics data to be used for business strategy that will impact outcomes
- Design data structure and data storage schemas to efficient data manipulation and information retrieval
- Develop data driven models to quantify the value of a given data set; Validate score performance
- Continuously work on identifying opportunities for automation supporting his/her ideas with cost/benefit analyses justifying the need both internally within the team and towards external stakeholders
- Develop appropriate business cases to increase MicroAnalytics global reach and client base
- Maintenance and improvement of the existing model development pipeline
What you are expected to bring:
- A degree (BSc level) at a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics, etc.
- 5-7 years of experience in DS (design AI/ deep learning solutions)
- Previous experience/participation in client facing projects
- Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
- Understanding of how and when to apply key analytical approaches including regression analysis and machine learning
- Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, in-sample vs out-of-sample.
- Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++).
- Flexible and adaptable to learn and understand new technologies
- Demonstrable analytical and problem-solving abilities, coupled with an enquiring mind and the ability to learn quickly
- A keen eye for detail, good at spotting problems and quickly proposing solutions.
- Strong verbal and written communication skills (fluency in English)
Any of the following abilities and skills will be considered an advantage:
- Good knowledge of OOP principles, data structures, algorithms & design patterns
- Experience with deep learning and other advanced modeling approaches to extract and automate insights from data.
- Experience with Reinforcement learning algorithms for decision/strategy optimizations.
- Exposure to Linux.
Why Us?
No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we’re committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works.
We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we’ve all got commitments and interests outside the office. So, talk to us about how you’d best like to work with us. We’re flexible and interested in helping you to get the best out of working with us.
What you will get:
- Work environment - excellent work conditions with friendly environment, recognized strong team spirit, and fun and quality recreation time.
- Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
- Opportunity for flexible working hours and home office.
- Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials & books.
Our Social Benefits Package - the way we care for our People
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Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
