Data Science Team Lead

We are seeking a Data Science Team Lead with expertise in bankingfintech to lead a highperforming DS team. This position combines advanced ML knowledge, team leadership, and crossfunctional collaboration to drive datadriven solutions in scorecard development, portfolio risk management, and model performance monitoring.

Key Responsibilities:

1. Advanced ML Development and Deployment:
2. • Build and refine ML models for credit scoring, fraud detection, marketing strategies, and customer behavior analytics.
   • Manage AI initiatives, including integrating external AI services.
   • Oversee the lifecycle of ML models, from concept to deployment, including quality assurance, recalibration, and performance monitoring.
   • • Team and Stakeholder Management:
     • • Lead and develop the DS team through hiring, training, and performance management.
       • Collaborate with risk, collection, and business teams to align DS projects with organizational needs.
       • Facilitate communication and prioritize tasks to meet stakeholder expectations.
       • • Process and Tool Optimization:
         • • Manage tools and processes such as Git, Jira, Confluence, and Agile workflows.
           • Ensure data reliability and stability through collaboration with DWH teams and featurestore administration.
           • Drive integration and optimization of new and existing data sources.
           • • Knowledge and Standards Management:
             • • Maintain comprehensive project documentation and implement best practices.
               • Oversee knowledgesharing initiatives, including Confluence updates, Git documentation, and internal training.
               • Stay ahead of industry trends and methodologies, introducing innovative tools and processes.

               • Requirements

                 • Technical: Python, SQL, ML techniques (regression, classification, boosting, NLPLLM)
                 • Tools: PowerBI, Excel, Tableau, Git, AWS (preferred), MLOps experience
                 • Soft Skills: Team leadership, excellent communication, agile expertise, and risk analytics experience (preferred)
                 • Languages: Fluent English and Russian
                   

                 • Preferred Qualifications:

                   • Educational background in mathematics, machine learning, or statistics
                   • Proven experience in fintech and banking, particularly in emerging markets
                   • Experience with AItools
                   • Expertise in ML for text, speech, and behavioral analytics or dynamic models in the card business.

                   • Benefits

                     • Flexible and completely remote fulltime role
                     • The opportunity to work in an innovative fintech company with a global reach
                     • Engaging tasks and the chance to influence the development of cuttingedge products
                     • The opportunity to grow your skills in a global, distributed team environment.