Data Science Manager, GenAI - SFL Scientific

Position Overview

Join Deloitte’s Strategy & Transactions team at SFL Scientific as a Data Science Manager – GenAI. Our team delivers integrated, end-to-end advisory services, from valuation modeling and cost optimization to business transformation. In this role, you will support the technical design, development, and deployment of novel AI solutions across industries including healthcare, life sciences, manufacturing, consumer, and energy. Recruiting for this role ends 11/30/2025.

You will lead a high-performing team and guide client engagements to drive transformative AI initiatives using state-of-the-art technologies such as computer vision, natural language processing, time-series analysis, and graph neural networks. This is an opportunity to grow your technical acumen through professional services and consulting.

Key Responsibilities

• Support identification of high-value AI opportunities that drive industry advantage.
• Serve as the technical lead to define project strategy, roadmap, and prototyping of AI/ML solutions.
• Engage and guide a diverse set of clients in AI strategy and adoption, including performing exploratory data analysis and model deployment.
• Lead comprehensive AI initiatives spanning predictive and generative AI, ensuring scalability, efficiency, and adherence to guidelines.
• Collaborate with and support an interdisciplinary team of data scientists, engineers, and solution architects.
• Drive research and adoption of best practices for model validation, testing, and deployment.
• Present key findings and strategic options to stakeholders regarding deployment infrastructure and solution optimization.
• Mentor and coach junior team members on technical best practices and professional development.
• Develop key skillsets and delivery experience to enable career growth into leadership or non-technical management roles.

Required Qualifications

• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.).
• 6+ years of experience in data science, data engineering, software engineering, or MLOps.
• 6+ years of experience in AI/ML algorithm development and data analysis across modalities including NLP, time-series, computer vision, and graph models.
• 6+ years of experience with programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.).
• 6+ years of experience with traditional machine learning and deep learning techniques (CNNs, RNNs, LSTMs, GANs) including model tuning and validation.
• 4+ years of experience managing teams and delivering complex, critical projects.
• Ability to travel approximately 10% based on client and project needs.
• Must live within commuting distance to one of Deloitte's consulting offices. Limited immigration sponsorship may be available.

Preferred Qualifications

• Experience with cloud deployment on AWS, Azure, or GCP, particularly with platforms like AWS SageMaker or Azure ML Studio.
• Experience developing and testing GenAI solutions.
• Proven ability in client-facing roles or internal AI product development.
• Excellent written and verbal communication skills for briefs, proposals, technical reports, and executive presentations.

Benefits & Perks

• Compensation: Estimated range of $130,800 to $241,000, influenced by skills, experience, certifications, and other factors.
• Eligibility to participate in a discretionary annual incentive program based on individual and organizational performance.
• Comprehensive benefits package and professional growth opportunities within Deloitte.