Data Science Engineer

Responsibilities:

• Lead and manage team(s) of data scientists and analysts, providing guidance and delivering projects across ML / NLP / Gen-AI.
• Drive strategic initiatives and innovation in AI across these focused industries: BFSI, Retail, Telecom, Manufacturing, Automotive, FMCG, Healthcare, Pharma, etc.
• Collaborate with senior leadership and drive client engagements to align with business goals and objectives.
• Design and review solutions on (not limited to) time series forecasting, regression/classification modelling, clustering techniques, Gen AI, etc.
• Manage and optimize cloud-based analytics platforms (Azure, GCP, or AWS) for AI and Gen AI related projects.
• Maintain a strong understanding of end-to-end project lifecycle.
• Present findings and insights to stakeholders through excellent oral and written communication skills.
• Contribute to RFPs, Assets, other internal/external initiatives.

Desired Qualification-

• 5-12 years of relevant experience in Data Science (Statistics/AI/ML) and Gen AI, with a proven track record of leading and managing teams.
• Excellent presentation and communication skills (oral and written).
• Deep expertise in statistical analysis, machine learning, and deep learning.
• Strong knowledge of analytical models such as marketing mix models, pricing and promotion optimization, customer value management, next best recommendation, segmentation, sales spend optimization, and demand forecasting.
• Experience with cloud-based analytics platforms (Azure, GCP, or AWS).
• Ability to drive strategic initiatives and align AI approach with business objectives.
• Proven ability to evaluate and implement advanced techniques to enhance client value.

Location and way of working:

• Base location: Pan India
• This profile involves occasional travelling to client locations.
• Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.

We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society.

Senior consultant and Manager

• Inspiring - Leading with integrity to build inclusion and motivation.
• Committed to creating purpose - Creating a sense of vision and purpose.
• Agile - Achieving high-quality results through collaboration and Team unity.
• Skilled at building diverse capability - Developing diverse capabilities for the future.
• Persuasive / Influencing - Persuading and influencing stakeholders.
• Collaborating - Partnering to build new solutions.
• Delivering value - Showing commercial acumen
• Committed to expanding business - Leveraging new business opportunities.
• Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization.
• Effective communication Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities.
• Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s)
• Managing change - Responding to changing environment with resilience
• Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision
• Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems.
• Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte
• Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.