Summary

Position Summary

National Consulting Services

The National Office, a key Strategic Enabler in our new model, is comprised of professionals with various areas of focus that collectively provide mission critical services to support Deloitte's overall success. Whether focused on project financial, quality and risk management, methods and tools, sales excellence, talent, leadership support, or other activities these professionals ensure that our Firm operates efficiently, and our people are able to effectively serve clients every day. 

Position Summary

Level: Manager or equivalent

As a Manager at Converge by Deloitte for Consumer, you will lead the end-to-end delivery of data science solutions—partnering with Product Managers/Owners, Project Managers, and client stakeholders to translate business needs into scalable analytics products and production-ready models.You will drive EDA on large datasets, build and validate time series/demand forecasting and other advanced models, communicate results to technical and business audiences, deploy in cloud environments, and mentor teams while improving reusable products and assets.

Work you'll do:

Work with Product Managers/Owners to understand how products can be used and should be implemented to solve client problems.
Work with Project Managers to understand client requirements and brainstorm on solutions, implement the assets/products as applicable. Perform exploratory data analysis on large datasets (several GB to TB) to define analytical models
Apply data science/ML forecasting techniques to solve complex business problems, must have good understanding of Timeseries data and Demand Forecasting use cases
Explain analytics model behavior / results in the vernacular of the market need
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. Present the forecasting accuracy results to the client team.
Deploy models into production
Provide feedback to product team to improvise the products.
Consistently strive to acquire new skills on AI / ML, Cloud, Big Data technologies
Support and coach your team on best solutioning practices, development tools, and pathfinding and surveys for technologies
Set technical direction, coach talent, enforce standards, align product/engineering/ops, and manage engagement risks

The team:

ConvergeCONSUMER ™ is a product-driven business that combines differentiated consumer insights with next-generation decision and experience platforms to help consumer-focused businesses optimize decision making and deliver personalized experiences to drive growth, consumer loyalty and profitability. We operate with the speed and agility of a startup, inside the world's largest professional services firm .

Qualifications

Must Have Skills/Project Experience/Certifications:

Bachelor's Degree in a relevant field from a top-tier university; Advanced Degree (Bachelors/ Masters) in a relevant field is a plus  
8-12+ years experience leading / implementing data science solutions.
Experience developing, implementing and maintaining machine learning and advanced statistical algorithms 
Deep understanding of data science principles, including machine learning, deep learning and artificial intelligence concepts
Advanced clustering expertise: selecting/justifying algorithms (e.g., k-means variants, GMM, density-based), distance metrics, dimensionality reduction, stability analysis, and cluster evaluation tied to business outcomes (not just silhouette scores).
Optimization modeling depth: formulating problems as linear/integer/nonlinear/stochastic programs; constraint design; feasibility diagnostics; solver literacy (e.g., decomposition, warm starts, tuning) and translating solver outputs into actionable decisions.
Forecasting at scale: classical time series + ML forecasting, hierarchical/temporal reconciliation, covariates and interventions, uncertainty/quantile forecasts, back testing discipline, and monitoring for drift/regime change.
Experience working with large quantitative and qualitative datasets both hands on and managing teams doing the work 
Proven skills in Python, PySpark, SQL is a must have
Experience with BI/analytics tools, such as Tableau, PowerBI, or similar tools is an added advantage
Experience using statistical computer languages to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling 
Experience working with data science tools, Sklearn, Regression, classification models
Experience in cloud-based eco-systems such GCP, AWS, or Azure for development and deployment of models 
Familiarity with consumer related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors  
Strong storytelling skills with experience presenting to large technical and non-technical audiences 
A desire to take initiative and continuously work on improving the products you handle
Highly self-motivated, energetic, passionate team-oriented personality and working style
Strong analytical background combined with solid business experience
Demonstrated ability to work effectively across time zones
Setting technical direction; hiring/coaching; enforcing standards; aligning product, engineering, and ops and managing risks across multiple engagements.

Good to Have Skills/Project Experience/Certifications:

Cloud-native ML/MLOps: Build end-to-end batch/streaming pipelines with feature stores, model registry, CI/CD, automated retraining, experiment tracking, reproducibility, and cost-aware scaling.
Cloud data engineering: Design lake/warehouse patterns with orchestration, data quality checks, schema evolution, and distributed compute (e.g., Spark/managed clusters) for clustering and forecasting.
Production services: Package optimization/forecasting as APIs or batch jobs with latency/reliability SLOs, versioning, safe rollouts (A/B, canary), and robust fallback for solver/timeouts.

Education: BE/B.Tech/M.B.A./Other advanced degrees or equivalent from accredited university

Location: Bengaluru/Hyderabad/Pune/Chennai/

Shift Timings: 11 AM to 8 PM

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .

Benefits To Help You Thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

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Requisition code: 356937

Data Scientist Manager - Lead AI and Data Science Engineer II