Consultancies

Data Science Specialist - OptimusAI

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

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Compensation: Not specified
City: Bengaluru, Gurugram
Country: India

Join OptimusAI within McKinsey's manufacturing AI solution to improve processing plant productivity through data analytics. You will collaborate in a dynamic, multi-disciplinary team (3-6 experts) to enhance client performance in areas such as energy efficiency, product quality, and capacity, working with process engineers and analytics specialists and communicating results to executives. Internally, you will help develop innovative products and algorithms, codify best practices, and shape the product roadmap, with opportunities for world-class training and travel to client sites. You will be based in Gurugram or Bengaluru, contributing to a team at the intersection of Global Energy and Materials, QuantumBlack, and Operations.

Analytics

Data Science Specialist - OptimusAI

Job ID: 104373

Bengaluru
Gurugram

Apply Now Apply Later

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity. You will be working side-by-side with the client’s process engineers and analytics specialists and will be communicating your work to executive audiences.

Internally, you will collaborate with our talented product engineers to develop innovative products and algorithms to address current and future client needs. You will help codify best practices, radiate our impact in/externally and shape the product roadmap.

Along the way, you will benefit from world-class training in business problem structuring and client advisory, while working closely with senior manufacturing and analytics experts. You will have the opportunity to travel to client sites, locally and around the world.

You will be based in our Gurugram or Bengaluru office as part of McKinsey’s manufacturing AI solution (OptimusAI), which sits at the intersection of three practices:

Global Energy and Materials (GEM): advises production and investor companies across chemicals & agriculture, paper & packaging, metals & mining, oil & gas, and power generation on strategic, operational, and growth issues.

QuantumBlack, AI by McKinsey: the AI arm of our firm which helps clients transform faster, innovate smart, and anticipate the future.

Operations: assists our clients in solving complex operational challenges by developing and implementing operational strategies, initiatives and solutions for their most critical problems. Connecting boardroom strategies to the shopfloor operators.

At the intersection of these groups, OptimusAI is a team of ~10 expert consultants, data scientists and engineers, focused on improving processing plant productivity through data analytics. We develop real-time AI advisory systems to support decision making in the plant control room, we assess and optimize process control systems, and we unlock plant bottlenecks through data-driven process changes.

OptimusAI supports a global community of consultants by developing an innovative machine learning toolkit and codifying the approach to deliver significant and lasting client impact.

Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your qualifications and skills

Bachelor's degree in a discipline such as: Computer Science, Applied Statistics, Mathematics, Analytics, Engineering, Machine Learning or equivalent
4+ years of relevant professional experience in advanced analytics, ideally in the context of heavy industry - preferably Mining, Metals, or Chemicals
Ability to write clean and efficient code in Python; ideally with experience in using cloud computing resources (e.g., AWS, GCP, Azure)
Ability to implement and maintain MLOps pipelines for continuous integration and deployment of models
Strong DevOps and backend engineering skills, including experience with CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure as code (e.g., Terraform, Ansible)
Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion
Ability to apply and advise on state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems
Excellent problem-solving skills paired with the ability to develop creative and effective solutions
Ability to thrive in a flexible, multi-disciplinary and agile working environment
Track record of completing projects successfully on time as per scope
Willingness to travel to other offices and/or client locations for short/long term assignments
Strong interpersonal communication skills; experience in facilitating discussions with leadership

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Group - N/A
Job Skill Code - SSDC - Software Delivery Specialist, Data
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Jan 07 00:00:00 GMT 2026
LinkedIn Posting City - Gurugram
LinkedIn Posting State/Province -
LinkedIn Posting Country - India
LinkedIn Job Title - Data Science Specialist - OptimusAI
LinkedIn Function - Consulting
LinkedIn Industry - Management Consulting;Mining & Metals;Oil & Energy
LinkedIn Seniority Level - Mid-Senior level