Qureos

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Advanced Analytics and Data Science - Senior Specialist

Istanbul, Turkey

Advanced Analytics and Data Science - Senior Specialist


We’re Hiring: Advanced Analytics and Data Science Team

Are you ready to bring your data science expertise into a fast-paced, agile, and impact-driven environment? We’re looking for a Senior Data Scientist to join our growing Advanced Analytics and Data Science (CoE) team —where you’ll work on end-to-end data science projects that directly shape the future of our business.


About the Role:


As part of the CoE, you'll collaborate across diverse domains including finance, marketing, operations, credit risk, and AI applications. Our projects are fast-moving and solution-oriented, often launched from scratch and built into production in weeks. You'll have the chance to work with top-tier talent, develop scalable solutions, and present your work to senior leadership — driving real business impact at every step.


What You’ll Be Doing:


  • Lead and contribute to end-to-end data science projects: from business understanding to model deployment
  • Design, prototype, and implement machine learning and AI solutions using Python
  • Collaborate with cross-functional teams in finance, marketing, risk, and operations to deliver actionable insights
  • Translate business problems into data science opportunities
  • Ensure high code quality through version control (Git), code reviews, and adherence to software development best practices
  • Query and manipulate data using SQL and manage workflows using bash and automation tools
  • Contribute to CI/CD pipelines for ML/AI deployment
  • Communicate findings effectively to technical and non-technical stakeholders, including senior leadership
  • Stay up-to-date with the latest developments in AI, ML, and data science tools


What We’re Looking For:


  • Bachelor’s degree in a STEM field, Economics, or Finance
  • 3+ years of relevant experience in data science, advanced analytics, or applied ML
  • Expertise in Python and common data science libraries (pandas, scikit-learn, etc.)
  • Strong knowledge of relational databases and fluency in SQL
  • Hands-on experience with ML and AI algorithms
  • Exposure to bash scripting and workflow automation
  • Experience working in agile teams
  • Familiarity with Git and collaboration tools
  • Strong understanding of software development best practices
  • Exposure to CI/CD practices for data science or ML pipelines
  • Excellent communication and problem-solving skills


Ready to take the next step in your data science journey? Apply now and be part of a collaborative, high-impact team where your work matters from day one.

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