Head of Data Science

Join the best bank to work for in Bulgaria* Who we are: Do you want to join a well-established bank with a start-up culture? No, we’re not joking! We, at tbi, have been one the most profitable banks for years and we are growing at a fast pace. We’re a bank with a long history of success that operates as a start-up and we’re always on the lookout for new opportunities to grow our business. How do we do that? It's all about our people. Our team is made up of brave, passionate and caring people who don’t just want to follow the same path – we want to transform into mobile-first, state-of-the-art lifestyle ecosystem. Our colleagues love working here – 80% of them would recommend tbi as an employer to their friends and family. Our people are engaged in challenging and meaningful work, inspired to grow their potential and career, encouraged to learn and empowered to take decisions. That’s not corporate babble, it’s what our people say. Do you want to play a key role in our unique success story? If so, we're looking for a Head of Data Science to join our team on the journey to success! What You’ll do: - Lead the end-to-end development and deployment of analytical and generative AI models across Bulgaria, Romania, and Greece, from problem framing to production and measured business value. - Deliver measurable value: launch models and data products that create profit for the bank, validated by Finance. - Run all production models under one lifecycle standard: versioned, documented, peer-reviewed, monitored for drift, and recorded in a single model registry. - Ensure every production model has a clear business owner, a value hypothesis, and a business process able to use it, and decline models the business cannot deploy. - Integrate models into business decision-making, including the pricing decision engine, customer profitability, collections, churn, and reactivation. - Establish science-grade practices: experiment design (A/B testing and quasi-experimental methods), reproducibility, peer review, and measurement. - Increase MLOps maturity through automated deployment, monitoring, and retraining of models. - Design and deploy generative AI solutions, such as AI-generated insight reports and conversational analytics, and be ready to lead a wider generative AI scope as the bank's Data & AI strategy evolves. - Lead, develop, and retain high-performing Data Scientists and ML Engineers, building a culture where understanding the business and its data comes before modeling. - Partner closely with business lines, Finance, Technology, and the other teams of the Data, Analytics & Monetization division across the three markets.