Senior Data Scientist – Sr. Consultant | Deloitte I&T Engineering | AI/ML Leadership Role in India
Job Opportunity: Senior Data Scientist – Sr. Consultant (I&T – Deloitte Engineering)
Location: Multiple locations across India
Requisition Code: 306446
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Senior Data Scientist – Sr. Consultant | Deloitte Engineering | Apply Across 7 Locations
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Join Deloitte India as a Senior Data Scientist – Sr. Consultant in the I&T Engineering division. Lead predictive modeling, AI/ML solutions, and guide high-performing teams across major cities. Apply now!
About the Role: Senior Data Scientist – Sr. Consultant (I&T – Deloitte Engineering)Deloitte is seeking a highly skilled and motivated Senior Data Scientist – Sr. Consultant to join its dynamic team and lead advanced analytics initiatives. Consultant to join the Information & Technology (I&T) – Deloitte Engineering team. This is a unique opportunity to drive business transformation through cutting-edge data science and machine learning initiatives, supporting Deloitte’s commitment to solving real-world problems with advanced analytics.
This position is available in 7 locations across India, giving you flexibility in choosing a work environment that suits you best.
About Deloitte’s Data Science Vision
Deloitte is redefining the future of business by applying advanced data science and machine learning techniques to tackle complex business challenges. One flagship initiative is People-Prism—a comprehensive solution designed to address pressing societal issues such as population identification, community engagement, policy effectiveness, and equitable resource allocation.
As a part of this dynamic team, you will contribute to impactful projects that go beyond business and touch lives across communities.
Key Responsibilities
As a Senior Data Scientist, your role will encompass a wide range of responsibilities from solution design to model deployment. You will lead both technical and strategic aspects of projects while mentoring a team of data scientists.
Your Core Responsibilities Include:
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Business Understanding & Problem Solving: Interpret business requirements and translate them into data science solutions using predictive and statistical models.
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Feasibility Analysis & Proof of Concept: Perform exploratory data analysis and create PoC models to validate proposed solutions.
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Team Leadership: Supervise and guide a team of data scientists through model building, feature engineering, and problem solving.
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Data Wrangling & Preparation: Handle structured, semi-structured, and unstructured data from various sources and prepare it for modeling.
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Model Development: Build robust machine learning models using supervised, unsupervised, and semi-supervised learning methods.
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Performance Optimization: Address issues like data imbalance and overfitting, ensuring models are well-generalized and high-performing.
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Model Interpretability: Utilize tools like SHAP and feature importance analysis to explain model predictions.
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Collaboration: Work across geographical teams in a collaborative environment to ensure consistency in solution delivery.
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Stakeholder Communication: Present findings and model outcomes to leadership and management for feedback and implementation.
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Mentorship: Act as a Subject Matter Expert (SME) and mentor for your team, fostering career growth and knowledge sharing.
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Continuous Learning: Stay current with trends in AI/ML, GenAI, prompt engineering, and cloud technologies.
Skills and Qualifications
Required Skills:
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Strong foundation in statistics, machine learning, and predictive modeling.
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Proficient in Python and SQL for data processing, modeling, and analysis.
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Hands-on experience with classification algorithms such as gradient boosting and logistic regression.
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Expertise in explainable AI tools like SHAP.
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Demonstrated experience in leading cross-functional data science teams.
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Solid communication skills to explain complex models to non-technical stakeholders.
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Proven ability to juggle multiple projects and deliver high-impact solutions.
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A Master’s degree or higher in Engineering, Computer Science, Statistics, Mathematics, or a related field. A PhD is preferred.
Preferred Skills:
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Experience with cloud platforms such as AWS, Azure, or GCP for deploying ML models.
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Knowledge of GenAI, prompt engineering, and large language models (LLMs) such as RAG.
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Awareness of algorithmic fairness and bias mitigation techniques.
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Familiarity with CI/CD pipelines for ML deployment is an added advantage.
Work Culture at Deloitte
Purpose-Driven Work
At Deloitte, our work is guided by a strong sense of purpose—to make a meaningful impact on our people, clients, and communities. This role is not just about writing code or building models—it’s about creating solutions that truly make a difference.
Diversity & Inclusion
Deloitte fosters a diverse, equitable, and inclusive work environment. Your individual perspectives and experiences are valued, empowering you to contribute authentically and innovate boldly.
Learning and Development
Employees have access to a world-class learning infrastructure, including DU: The Leadership Center in India, based in Hyderabad. Deloitte offers a blend of leadership programs and technical learning opportunities to support your professional development and help you achieve your career goals.
Benefits and Rewards
At Deloitte, we believe that great people make a great organization. That’s why we offer a broad spectrum of benefits to support your well-being and performance, including:
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Competitive compensation
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Flexible work options
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Health and wellness programs
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Mental health resources
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Financial planning support
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Professional growth and training programs
Note: Eligibility for benefits may depend on role, tenure, and other factors.
Career Tips from Deloitte Recruiters
To increase your chances of success, consider these tips:
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Tailor your resume to highlight your achievements in data science, particularly leadership and impact.
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Showcase real-world applications of AI/ML models you’ve worked on.
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If you have experience with GenAI, highlight it prominently.
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Emphasize your ability to mentor and lead teams, not just technical capabilities.
Why Join Deloitte?
By joining Deloitte as a Senior Data Scientist – Sr. Consultant, you’ll be entering a high-impact, fast-paced environment where innovation is the norm and collaboration drives results. You’ll gain exposure to global projects, work with leading experts, and influence strategic decisions through data.
How to Apply
If you’re passionate about data science and ready to lead transformative projects, this role is your next big move.
Apply now to be a part of Deloitte Engineering and help shape the future of analytics and AI.
Locations Available
This position is open in 7 locations across India. Choose the office location that best suits your lifestyle and career aspirations.
Ready to lead with data? Be the driving force behind innovation at Deloitte.