Senior Data Scientist (m/d/f) at Experian

Frankfurt, Hesse, Germany -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Models, Data Analysis, Risk Assessment, Python, C++, Probability, Statistical Inference, Optimization Algorithms, Linear Algebra, Calculus, BI Tools, Tableau, Power BI, Analytical Skills, Problem Solving

Industry

Information Services

Description

Company Description Experian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region. Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping. We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime. We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 22,500 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland. Job Description We 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 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 Qualifications What you will bring: 3+ 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, C++) To learn and understand new technologies Analytical and problem-solving abilities, coupled with an enquiring mind Experience with BI Tools such as Tableau and Power BI will be considered as an advantage. Fluency in English Additional Information 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. 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. #LI-Hybrid Experian Careers - Creating a better tomorrow together Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

As a Data Scientist, you will develop and validate analytical solutions for clients, including statistical models and ad hoc data analysis. You will also present results to stakeholders and support junior team members.