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Data Scientist Consultant

Remote / Online - Candidates ideally in
Marmara Bölgesi, Turkey (Türkiye)
Listing for: Experian
Remote/Work from Home position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 300000 TRY Yearly TRY 150000.00 300000.00 YEAR
Job Description & How to Apply Below

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, 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.

Job Description

We are looking for a Data Scientist Consultant to join our Experian Turkey Team. The ideal candidate will have a background in machine learning and data mining, with a proven track record in project partnership and partner management. You will be a team player who is eager to teach and learn daily, proactive, and will report to the Analytics Consultant Lead.

Responsibilities
  • Contribute to a consultative approach with Experian clients to identify problems and provide analytical solutions.
  • Design solutions for the whole customer lifecycle and for regulatory parameter estimation and validation projects based on Experian Decision Analytics best practice solutions and present these to clients.
  • Suggest market solutions in the analytics and regulatory area and produce proposals.
  • Demonstrate good project management skills and act as a project leader for delivering analytical projects.
  • Develop working relationships with managers and executives within client organizations to contribute to client business and achieve project goals.
  • Seek out opportunities that help grow the business.
  • Help win new business from our customers – nurture and enhance existing client relationships, identify and progress opportunities to enhance existing solutions and cross‑sell other products and services.
  • Identify opportunities to deliver analytical projects to clients and conduct feasibility studies to support sales activities.
Qualifications
  • Degree or equivalent in Engineering, Mathematics, Statistics, Economics, Econometrics, Operational Research, or Data Science from a top university.
  • 3+ years of experience in analytics and consultancy-related areas, managing and delivering high‑quality data analytics.
  • Ability to propose solutions and establish solutions matched to requirements.
  • Good knowledge and experience in products and operations, especially in Banking and Telecommunications sectors (e.g., credit risk management, customer management, data management, Basel Accord, IFRS9, collections).
  • Experience in programming and data preparation (SAS, SPSS, SQL, proficiency in Python, and preferably in R, Scala, C/C++ or similar). Experience with learning techniques such as clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting.
  • Fluency in written and spoken English.
Benefits
  • Personal development – career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, materials, and books.
  • Work environment – excellent working conditions with a friendly environment, recognized team spirit, and opportunities for recreation.
  • Social benefit package including food vouchers, private health insurance, monthly flex allowance, internet coverage, employee assistance program, and many other benefits.
  • Opportunity for flexible working hours and home office.

Experian is an Equal Opportunity Employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Information Technology

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