Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Data Scientist responsible for analyzing datasets and developing effective risk management strategies at Bank of America. Collaborating with stakeholders to derive insights and foster responsible growth through data.
Responsibilities
- Analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies.
- Collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings.
- Demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
- Developing NLP/AI virtual assistants, Generative AI, and agentic AI solutions.
Requirements
- 2+ years of experience with machine learning and related techniques
- Strong Python development skills
- Knowledge of recent developments in AI space including but not limited to transformers, LLMs, Generative AI
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field or equivalent experience
- Good understanding of a version control system like git to be able to efficiently collaborate with colleagues.
- Adept at leveraging ML/AI techniques to solve critical business problems with good understanding of Supervised, Unsupervised and Reinforcement Learning.
- Good interpersonal communication skills for tech and business conversations
- Good analytical skills to break down requirements, solve complex problems.
Benefits
- Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
- Opportunities to learn, grow, and make an impact.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist leading complex analytics projects to drive data - informed business decisions. Collaborating with senior leadership at Vanguard to enhance analytical capabilities.
Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
Data Science Internship at Engineering focused on empowering digital transformation. Join a team that values innovative solutions and professional growth in IT.
Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
Data Scientist developing statistical models and rules for Allegro's eCommerce platform. Driving insights and collaborating across teams to improve product catalog and selection.
Data Scientist developing statistical models and improving product quality for Allegro's eCommerce platform. Collaborating with cross - functional teams to deliver insights and drive business solutions.
Data Scientist at Imprint leveraging data analytics to enhance co - branded credit card offerings and optimize financial product decisions. Collaborating with cross - functional teams in a high - impact role.