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We are working alongside an internal start up working exclusively with a top-tier consultancy located in Istanbul, Turkey. Our clients are committed to data science innovation and staying ahead of the curve in a rapidly evolving industry where generative AI is becoming a key factor.
As the Interim Data Scientist, you will spearhead the data initiatives and collaborate with cross-functional teams to drive data-driven strategies. Your expertise will be essential in extracting insights, building predictive models, and identifying opportunities to enhance the financial products and services.
  • Turkish speaker
  • Living in Turkey
  • Data Science experience in Financial Services background (preferred)
  • Strong background in Statistics and Mathematics
  • Strong team and business communication skills – can walk through approach with technical clients or explain technical concepts to non-technical people
  • Experience with Git and modern software development workflows
  • Experience with containerisation technologies, such as Docker and working with CI/CD pipelines
  • Familiarity with agile ways of working (Scrum, Kanban, etc.)
  • Expert knowledge of Python programming and machine learning frameworks (Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
  • Solid understanding of foundational machine learning concepts and algorithms
  • Experience with tools in distributed computing, GPU, cloud platforms and Big Data technologies (e.g. GCP, AWS, MS Azure, Hadoop, Spark)
Key Responsibilities:
  • Collaborate closely with business leaders to understand challenges and provide data-driven solutions.
  • Present and clearly communicate data findings and recommendations to senior management.
  • Conduct in-depth data analysis on large and complex datasets, identifying patterns, trends, and correlations to draw meaningful insights that support business objectives.
  • Develop and implement predictive models using machine learning algorithms to forecast trends, behaviour, and outcomes.
  • Create clear and concise data visualisations and dashboards to communicate complex findings clearly to stakeholders.
  • Ensure data quality and integrity by cleaning, preprocessing, and transforming data to remove errors and inconsistencies, making it suitable for analysis.
  • Collaborate with teams such as marketing, product, and finance, to understand their data needs and provide data-driven insights and solutions to address business challenges.
  • Present recommendations based on data analysis to support strategic decision-making, product development, and process improvements.
  • Design and analyse experiments and A/B tests to evaluate the impact of changes and innovations, contributing to evidence-based decision-making.
  • Work alongside data engineers to define data requirements and optimise data pipelines for efficient data processing and storage.
  • Evaluate model performance regularly and implement monitoring to ensure the accuracy and effectiveness of deployed models.
Preferred Qualifications:
  • Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
  • Previous experience leading data science projects and teams.
  • Familiarity with cloud-based data platforms and tools.