Applied AI/ML - Analyst

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.