Applied AI/ML Lead

You are an innovative thinker passionate about driving AI/ML solutions in financial planning and analysis. You have found the right team.

As an Applied AI/ML Lead in our Firmwide Planning & Analysis (FP&A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities for our firm. You will be responsible for partnering across the organization to provide AI/ML-based solutions, oversight, and coordination of advanced analytical techniques. Our Data Science Center of Excellence (COE) teams are responsible for a wide range of activities including analyzing business problems, experimenting with statistical and machine learning models, developing solutions with state-of-the-art machine learning and deep learning algorithms, and advising cross-functional teams on how to enhance productivity and efficiencies.

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.

• MS or PhD in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning.
• Minimum 3 years 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.

Preferred qualifications, capabilities and skills

• Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models.
• Proven track record in successful development and deployment of AI/ML based solutions to solve large and complex business operations.
• Experience in leading a team and/or supervising and mentoring junior analysts.