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About you
- Bachelor’s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master’s degree or PhD will be a plus),
- 4+ years of work experience in data science field.
- Broad experience with end-to-end machine learning project implementation. Involvement in all modelling steps from data extraction to modelling and deployment.
- Theoretical knowledge of statistical modelling and machine learning, and a demonstrated ability to apply these to solve business problems and develop innovative models and/or data-driven products
- Strong knowledge of Python, SQL or relevant statistical tools. (Spark, GCP, Git , DevOps will be a plus)
- Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
- Excellent analytical skills and attention to details
- Desire to use modern technologies as a disruptive influence,
- Open-minded for new technologies.
- Strong verbal and written communication skills in English and Turkish
How to Succeed
- Manage the entire analytical process – from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
- Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
- Analyze portfolio trends and detect the root causes of problems by performing advanced data analysis and modelling techniques
- Develop new strategies by analyzing and evaluating large data volumes and utilizing various statistical and analytical techniques and tools
- Effective Communication: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
- Flexibility & Adaptability: Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed
- Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations
- Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of diverse problems and create alternative solutions that resolve the problems in the best interest of the business
Key Skills
Ranked by relevance
machine learning
data analysis
devops
spark
git
gcp
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- Posted
- Mar 30, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Istanbul
Industries
Financial Services
Banking
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist GenAI (LLMs)
2026-04-08
Full-time
Mid-Senior
Spain
Banking
Engineering
View Job Details
Related
Developpeur Finance JAVA / ANGULAR
2026-04-07
Full-time
Mid-Senior
France
Financial Services
Information Technology
View Job Details
Related
Automation Engineer
2026-04-10
Full-time
Not Applicable
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Engineering