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