Data Scientist

Company Description

Experian unlocks the power of data to create opportunities for consumers, businesses and society. At life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage their data with confidence so they can maximize every opportunity.

We gather, analyze and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.

Our 22 000 people in 32 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.

Job Description

Globally, 1.7 billion people lack a bank account while two thirds out of this population have a mobile phone. Experian Micro Analytics 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.

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 Data Scientist to join our team and support the EMA project (Experian Micro Analytics) for the Dynamic Airtime Advance product, that is a robust, sophisticated, and future proof, based on the best-in-class strategy management platform, used in the mobile sector for 20 years with over 2000 deployments globally. 

What you'll be doing:

• Primarily building a model (churn, propensity or loss) using Decision Analytics data to be used for business strategy that will impact the outcomes
• Regular reporting to track model performance
• Oversee and facilitate the training of a range of Machine Learning models
• Evaluate the quality of the trained models, using existing and new measures
• Incident resolution: Low accuracy troubleshooting and other model performance metrics analysis
• Maintenance and improvement of the existing model development pipeline
• Produce ad-hoc analysis/investigations on the modelling pipeline
• Document parts of the modelling/testing process

Qualifications

What you are expected to bring:

• A degree (BSc level) at a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics, etc.
• 3-5 years of experience in DS (design AI/ deep learning solutions)
• 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.

Additional Information

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

Experian Careers - Creating a better tomorrow together

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