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Senior Data Modeller

Company Description

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 Description

We are currently looking for Senior Data Modeller 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 Senior Data Modeller, 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. You will present results and business analysis to senior stakeholders (both internal and external) and support more junior team members in their daily activities. You will report to Data Modeller-Manager.

 

What you will do:

  • Data extraction and data processing
  • Develop, manage credit risk models, including application, behavioral, and collection scoring models
  • Evaluate the performance of the trained models and presentation of the results to stakeholders
  • Produce ad-hoc analysis on the available datasets or developed models
  • Work on proof-of-concept projects to support client needs
  • Oversee the day to day work of more junior team members
  • Identify opportunities for automation and follow them through internally within the team and towards external stakeholders

Qualifications

What you are expected to bring:

  • A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics
  • 3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn)
  • Understanding of how and when to apply analytical approaches including regression analysis and machine learning
  • Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
  • Good at spotting problems and quickly proposing solutions
  • 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.

Our Social Benefits Package - the way we care for our People

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Average salary estimate

$70000 / YEARLY (est.)
min
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$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Modeller, Experian

Are you ready to take your expertise to the next level? Join Experian as a Senior Data Modeller in our vibrant Sofia office, located at Boulevard 'Tsarigradsko shose' 86. In this dynamic role, you’ll dive deep into data extraction and processing, develop and validate analytical solutions, and create credit risk models that truly make a difference. You’ll play a pivotal role in predicting consumer behavior and presenting your findings to senior stakeholders, showcasing the impact of your work. Your insights will not only help our company expand its reach in North America but also support junior team members as they navigate their projects. With a solid background in Python and a degree in a numerical discipline, you'll utilize statistical analysis and machine learning techniques to identify trends and automate processes. Plus, you will enjoy a friendly work environment that values cooperation and fun! Your journey at Experian will be filled with opportunities for personal development, work-life balance, and a comprehensive benefits package that truly supports you and your family. Come grow your career with us and be part of a team dedicated to redefining how data drives success.

Frequently Asked Questions (FAQs) for Senior Data Modeller Role at Experian
What are the specific responsibilities of a Senior Data Modeller at Experian?

As a Senior Data Modeller at Experian, you'll be responsible for developing and validating statistical models, performing data extraction and processing, and presenting analyses to senior stakeholders. You'll also oversee and mentor junior team members, identify automation opportunities, and work on proof-of-concept projects to meet client needs.

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What qualifications are required for the Senior Data Modeller position at Experian?

To qualify for the Senior Data Modeller position at Experian, candidates should have a degree in a numerical discipline such as Computer Science, Mathematics, or Statistics. Additionally, you should possess 3+ years of Python experience and a solid understanding of analytical approaches, including machine learning and statistical inference.

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What tools and technologies should a Senior Data Modeller at Experian be familiar with?

A Senior Data Modeller at Experian is expected to have experience with Python and its analytical packages like Pandas and scikit-learn. Familiarity with BI tools such as Tableau and Power BI is considered an advantage, as they enhance data visualization and reporting capabilities.

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How does Experian support the career development of a Senior Data Modeller?

Experian promotes career development for Senior Data Modellers by providing access to learning and development programs, unlimited online training resources, and clear career pathways that encourage professional growth within the organization.

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What benefits can a Senior Data Modeller expect from working at Experian?

At Experian, Senior Data Modellers enjoy a robust benefits package, including life insurance, additional health insurance, monthly flex allowances, a generous vacation plan, personal development opportunities, and various corporate discounts designed to support both professional and personal well-being.

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Common Interview Questions for Senior Data Modeller
Can you describe your experience with developing credit risk models?

When answering this question, highlight specific credit risk models you have developed, the techniques you used, and how these models improved business outcomes. Be prepared to discuss your thought process during model development.

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How do you approach data extraction and processing?

Explain your methodology for data extraction and processing, including the tools and programming languages you prefer. Sharing examples of past projects can demonstrate your practical experience in this area.

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What statistical techniques do you utilize in your data modeling?

Discuss various statistical techniques you've used, such as regression analysis, machine learning algorithms, and any software tools like Python or R. Illustrate how applying these techniques has benefitted previous projects.

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How do you evaluate the performance of your models?

Share your strategies for model evaluation, including metrics you track, validation techniques employed, and how you apply feedback to improve models. Mention specific examples of adjustments made based on performance metrics.

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Can you give an example of a complex problem you've solved in your previous role?

Use the STAR method (Situation, Task, Action, Result) to explain a challenging problem, the steps taken to resolve it, the tools and techniques utilized, and the positive impact of your solution on the project.

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What experience do you have mentoring junior team members?

Discuss instances where you've guided junior team members through challenging tasks, the techniques you used to help them learn, and feedback you received on your mentorship approach.

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Are you familiar with BI tools like Tableau or Power BI? How have you used them?

Share specific experiences where you've utilized BI tools for data visualization and reporting. Explain how these tools helped in communicating your findings to stakeholders and enhanced decision-making processes.

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What role does automation play in your data modeling process?

Explain how you identify opportunities for automation in your work, the tools you use for automation, and real examples where automation has streamlined your workflow or improved efficiency.

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How do you stay current on emerging trends in data modeling and analytics?

Discuss your strategies for staying up-to-date, such as attending conferences, participating in online courses, following industry leaders, and engaging with professional communities related to data science and analytics.

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Why are you interested in the Senior Data Modeller position at Experian?

Express your enthusiasm for the challenges and opportunities at Experian, emphasizing how your skills align with their needs. Mention Experian's mission and values and how they resonate with your career goals.

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We pride ourselves on being certified as a Great Place To Work and firmly believe that creating a positive company culture is less about ping pong tables and more about transparency, connection, and "work with purpose." The unique perspective of e...

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Full-time, hybrid
DATE POSTED
March 24, 2025

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