Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job DescriptionWe are currently looking for Assistant Data Scientist to join our growing Sofia based Analytics Team, established in 2007, as we are expanding our portfolio to support our North America Business.
As a Data Scientist, you will develop and validate robust analytical solutions for diverse clients – this includes ad hoc data analysis as well as development of statistical models for predicting and managing the behavior of consumers, utilizing machine learning techniques to enhance traditional credit risk models and improve predictive accuracy. You will be presenting results and business analysis to senior stakeholders (both internal and external) and support more junior team members in their day to day activities.
You will report to Data Modeller - Manager.
What you will do:
- Develop, validate, and maintain credit risk models, including application, behavioral, and collection scoring models
- Utilize machine learning techniques to enhance traditional credit risk models and improve predictive accuracy
- Work with large, complex datasets to extract insights and build risk assessment frameworks
- Evaluate the performance of the trained models and presentation of the results to stakeholders
- Produce ad-hoc analysis on the developed models
- Work on proof-of-concept projects to support client needs
- Maintenance and improvement of the existing model development pipeline
- Research and development of new advanced analytics solutions
What you will bring:
- 1+ years of experience in Data Science role
- A degree (BSc level) at a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics, etc.
- 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
- Ability to write near-production-level code in at least one general purpose programming language (e.g. Python)
- To learn and understand new technologies
- Experience with BI Tools such as Tableau will be considered as an advantage.
What you will get:
- Work environment - excellent work conditions with friendly environment, recognized 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 and books.
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
This is a hybrid remote/in-office role.
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Skills Required
- 1+ years of experience in Data Science role
- A degree (BSc level) at a numerical discipline
- Strong grasp of statistics and probability
- Ability to write code in Python
- Experience with BI Tools such as Tableau
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During 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 data with confidence so they can maximize every opportunity. We gather, analyse 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 20,600 people in 43 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. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
