Data Scientist

Your role

• build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems.
• work on generative ai (genai) models to deliver personalized insights and solutions for clients, financial advisors, and prospects.
• leverage advanced data science techniques to analyze large datasets and extract actionable insights.
• collaborate with cross-functional teams to integrate predictive models into wealth management decision-making processes.
• implement and utilize tools like langchain, langgraph, and vector databases to build scalable, efficient ai-driven solutions.

Your team

You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP’s function to manage and support data science efforts across different business areas.

Your expertise

• bachelor’s degree or higher in machine learning, computer science, computational linguistics, mathematics or other relevant technical field from premier institute.
• strong foundation in probability, statistics, linear algebra, calculus, machine learning and generative ai/llm.
• expertise in deep learning techniques and applications.
• strong understanding of generative ai (genai) including math behind the models and its practical implementations.
• hands-on experience working with large language model apis like azure openai, anthropic etc.. and cloud ecosystems like azure, aws, gcp, databricks
• proficiency in langchain, langgraph, and working with vector databases for advanced data retrieval and ai workflows.
• proficiency in python or similar programming languages, with experience in ai/ml libraries and frameworks such as tensorflow, pytorch, or hugging face.
• knowledge of financial products, including mutual funds, etfs, and client segmentation, is a plus.