AI and Data Science Engineer III

Senior Consultant – Data Science, Deloitte Human Capital

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact for clients.

You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients. Recruiting for this role ends on August 30, 2026.

As an AI Data Science Engineer III, you will work directly with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

• Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
• Support business development efforts including proposals, client presentations, and thought leadership content.
• Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision‑making.

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or work streams
• Ability to manage and prioritize multiple tasks in a fast‑paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market‑aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

• Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
• 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
• 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
• 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
• 4+ years of hands‑on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
• 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
• Ability to travel 0-25%, on average, based on client and project needs.
• Limited immigration sponsorship may be available.

• Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
• Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
• AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
• Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
• Experience in…