Summary

Position Summary

Machine Learning / Data Scientist, Consultant

Deloitte Consulting LLP | IDT

About The Role

At Deloitte Consulting LLP, Data Scientists and ML Engineers leverage advanced analytics and machine learning to transform data into actionable business insights and innovative solutions. Our teams foster technical excellence, real-world impact, and professional growth for every team member. This is a Consultant-level role based out of Hyderabad, Bengaluru, Mumbai, Gurgaon, Kolkata, Chennai, or Pune.

IDT anticipates how technology will shape the future and begins building future capabilities and practices today, driving the ideation, incubation, and scale of hybrid businesses and tech-enabled offerings. Partnering with the broader network — including Converge, Smart Factory, TrueServe, and Cortex AI — IDT brings together dreamers, designers, and builders to deliver a unique point of view and future-proof both Deloitte's business and its clients.

Key Responsibilities

Build & Deploy ML Solutions

Lead the design and deployment of advanced, scalable ML solutions for enterprise use cases
Oversee data ingestion, wrangling, and processing at scale using appropriate big data tools
Architect, develop, and optimize APIs for robust ML model serving in production environments

MLOps & Production Engineering

Utilize MLflow for experiment tracking, reproducibility, and lifecycle management
Drive cloud-native deployment, monitoring, and automation for ML solutions

Communicate & Grow

Mentor consultants, guide technical reviews, and promote best practices in software engineering and MLOps
Communicate complex insights to stakeholders and ensure alignment with client objectives
Keep current with AI/ML advancements and lead knowledge-sharing within project teams

Reporting Relationships

Reports to a Senior Consultant or Manager within IDT. Collaborates with project stakeholders and may mentor junior consultants on a need basis.

Qualifications

Required

2-5 years of experience developing, deploying, and interpreting machine learning solutions in business or technical environments
Demonstrated experience with core statistical and ML algorithms, including linear regression, logistic regression, decision trees, clustering, dimensionality reduction (e.g., PCA), and time series analysis and forecasting
Hands-on experience using Python for data preparation, wrangling (cleaning, feature engineering), and model development
Proven ability to work with large datasets using Pandas, NumPy, SQL, or PySpark
Experience implementing models with deep learning frameworks (e.g., TensorFlow, PyTorch, or Keras)
Solid experience in data visualization using Python libraries (Matplotlib, Seaborn) or business visualization platforms (Tableau, Power BI)
Practical experience creating and serving Python-based APIs using frameworks like FastAPI or Flask
Ability to code, evaluate, and deploy basic ML models within data pipelines
Experience working on projects within cloud environments (Azure, AWS, or GCP) is preferred
Strong analytical, teamwork, and communication skills
B.E./B.Tech./M.C.A./M.Sc./Ph.D. in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related discipline

Preferred

Experience with large-scale data processing platforms (PySpark, Dask, BigQuery, Databricks)
Advanced cloud-based data tool knowledge and ML deployment skills
Familiarity with productivity tools like GitHub Copilot or AWS CodeWhisperer
Understanding of industry trends in ML, AI, and MLOps

Core Competencies

Strong ML engineering and experimentation craft (Python, MLflow)
Ability to translate ML solutions into production-ready APIs
Cloud-native deployment and automation mindset
Clear communicator of complex analytical insights
Mentor and promoter of engineering/MLOps best practices
Curious and current on AI/ML advancements

Why This Role Matters

A machine learning model only creates value once it's built well, shipped reliably, and trusted by the business that uses it. This role owns that full journey — turning data into actionable insight, and insight into production-grade solutions clients can build decisions on.

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

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Requisition code: 370567

Data Scientist/ML Engineer - AI and Data Science Engineer II