Senior Data Scientist

Experian; Düsseldorf; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A global analytics company in Düsseldorf is seeking a skilled Data Scientist to develop and validate credit risk models. This role requires expertise in machine learning techniques and strong analytical skills. The ideal candidate will have at least 3 years of experience in Data Science with a degree in a numerical field. Enjoy excellent work conditions, social benefits, and opportunities for personal development in a supportive environment.

Leistungen

Flexible working hours

Health insurance

25 days paid vacation

Personal development opportunities

Qualifikationen

• 3 years of experience in a Data Science role.
• Degree in a numerical discipline.
• Strong grasp of statistical concepts and algorithms.

Aufgaben

• Develop, validate and maintain credit risk models.
• Utilize machine learning techniques for predictive accuracy.
• Work with large complex datasets to extract insights.

Kenntnisse

Machine learning techniques

Data analysis

Statistical inference

Programming in Python

Problem-solving abilities

Experience with BI Tools

Fluency in English

Ausbildung

BSc in Computer Science, Mathematics, Statistics, Econometrics, or Physics

Tools

Tableau

Power BI

Jobbeschreibung

We are currently looking for a Data Scientist to join our growing Sofia based Analytics Team established in 2007, as we expand 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 consumer behavior using machine learning techniques to enhance traditional credit risk models and improve predictive accuracy. You will present results and business analysis to senior stakeholders (both internal and external) and support more junior team members in their day‑to‑day activities, reporting to the 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 trained models and present 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 develop new advanced analytics solutions

Qualifications:

• 3 years of experience in a Data Science role
• A degree (BSc level) in a numerical discipline such as Computer Science, Mathematics, Statistics, Econometrics, Physics, etc.
• Strong grasp of probability, statistical inference, optimisation 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)
• Willingness 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 is 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 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:

• Excellent work conditions with a friendly environment, recognised team spirit, 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, a birthday gift and many more
• Work‑life balance – 25 days paid vacation, one additional day off for your birthday, and an extra three 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

Employment Type: Full‑time

Remote Work: No