You are a strategic thinker passionate about driving solutions in data science and analytics. You have found the right team.

 

As an Applied AI/ML Analyst in our Data Science COE within the Firmwide Planning & Analysis (FP&A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities. You will focus on AI/ML-based solutions to boost productivity across the FP&A organization. In this role, you will analyze business problems, experiment with statistical and machine learning models, and develop solutions using state-of-the-art machine learning and deep learning algorithms. You will be part of an innovative team, collaborating closely with cross-functional teams to create data-driven solutions that enhance our products, services, and business operations. We are seeking someone with a strong background in data analysis, machine learning, and statistical modeling, who is passionate about uncovering insights and solving complex problems.

 

Job Responsibilities

Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&A, Information Retrieval/Summarization, Search, etc.Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap. Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.Communicate findings and insights through clear and concise visualizations and reports.Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&A organization.Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization.Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity.Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making.

 

 Required qualifications, capabilities, and skills.

Engineer in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning. 1 year of experience in data science, machine learning, or a related role. Proficiency in programming languages such as Python or R.Experience with LLMs and Prompt Engineering techniques.  Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.Ability to work independently and as part of a team.