Franklin Templeton is looking to advance its industry forward by developing new and innovative ways to help clients achieve their investment goals, and the Lead Data Scientist role is expected to design and implement advanced AI and machine learning solutions to enhance decision-making and automation.
Requirements
- Strong Python and SQL skills
- Experience with PyTorch, TensorFlow, or scikit-learn
- Familiarity with AWS, Azure, or GCP
- Knowledge of MLOps frameworks
- Experience with LLMs preferred
- 2–4 years of experience in data science, AI, or ML
- Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field
Responsibilities
- Build, train, and deploy ML and AI models to solve business challenges and improve investment decisions.
- Apply Generative AI, LLMs, and deep learning to automate analysis and reporting.
- Implement models using MLOps practices for scalability and reliability.
- Continuously monitor and refine performance.
- Develop automated pipelines for collecting, cleaning, and validating structured and unstructured data.
- Partner with engineering teams to ensure robust data governance and accessibility.
- Perform statistical and exploratory analysis to uncover trends and opportunities.
Other
- Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field
- 2–4 years of experience in data science, AI, or ML
- Excellent problem-solving, communication, and cross-functional collaboration skills
- Three weeks paid time off the first year
- 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits
