Your role
Are you an analytical thinker who enjoys leveraging data and advanced analytics to generate actionable insights that enhance client experience and drive business growth?
We're looking for a data scientist to:
• lead and mentor a team of 10-15 highly capable data scientists focused on building impactful AI applications
• identify and prioritize opportunities to apply AI for workflow optimization and revenue generation through strong stakeholder engagement
• drive end-to-end development and deployment of AI/ML models, applying best practices in software engineering and reproducible research
• design, build, and maintain LLM evaluation frameworks to monitor model performance, reliability, and consistency throughout the development lifecycle
• partner closely with product, business, and technology teams to deliver robust, production-grade AI solutions
• communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders
Your team
You will be part of Data Analytics & Foundational Platforms (DAFP) within Wealth Management Americas (WMA), focusing on developing statistical and machine learning models that enable better decision-making across the business.
Our global Data Science team operates across the US, Poland, and China, and plays a central role in supporting data science initiatives across multiple business areas.
Your expertise
• master's or PhD in Machine Learning, Computer Science, Computational Linguistics, or a related technical field
• ideally 7-10 years of experience leading teams and delivering advanced analytics or AI-driven products
• strong knowledge of statistical tools (e.g., R, SAS), programming languages (Python), data visualization tools, and advanced analytical methods including machine learning and AI
• excellent active listening and communication skills, with the ability to build partnerships across all levels of the organization
• proven leadership experience in building, mentoring, and scaling high-performing data science teams
• strong problem-solving mindset with the ability to translate business challenges into scalable analytical solutions
• ability to operate effectively in a fast-paced, cross-functional environment
• proficiency in Python and key frameworks/libraries such as PyTorch, transformers, LangChain, OpenAI, and spaCy
• experience working with LLM APIs (e.g., Azure OpenAI, Anthropic)
• strong understanding of version control and software engineering best practices
• familiarity with cloud platforms (Azure, AWS, GCP, Databricks)
• experience working with SQL databases
• excellent written and verbal communication skills
• experience building scalable information retrieval and enterprise search solutions using both classical (keyword-based) and modern (semantic / embedding-based) techniques; exposure to RAG and agent-based systems is highly desirable
• experience designing automated evaluation frameworks for LLM applications
• strong familiarity with the Hugging Face ecosystem (transformers, datasets, PEFT, accelerate, tokenizers, evaluate)
• hands-on experience with LLM training and fine-tuning techniques such as PEFT, LoRA, quantization, RLHF, and DPO
• experience optimizing workflows that rely on rate-limited APIs
• nice to have: Publications in NLP or related fields
• nice to have: Experience in the financial services industry
• nice to have: Contributions to open-source projects (e.g., GitHub)
