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, provide digital 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 realise their financial goals and help them to save time and money.
Job DescriptionWe are currently looking for 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 modelsUtilize machine learning techniques to enhance traditional credit risk models and improve predictive accuracyWork with large, complex datasets to extract insights and build risk assessment frameworksEvaluate the performance of the trained models and presentation of the results to stakeholdersProduce ad-hoc analysis on the developed modelsWork on proof-of-concept projects to support client needsMaintenance and improvement of the existing model development pipelineResearch and development of new advanced analytics solutionsQualificationsWhat you are expected to bring:
3+ years of experience in Data Science roleA 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 learningAbility to write near-production-level code in at least one general purpose programming language (e.g. Python, C++)To learn and understand new technologiesAnalytical and problem-solving abilities, coupled with an enquiring mindExperience with BI Tools such as Tableau and Power BI will be considered as an advantage.Fluency in EnglishAdditional InformationExperian 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.
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.Our Social Benefits Package - the way we care for our People
#LI-Hybrid
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here