Data Scientist (Software Delivery Analyst - Optimus AI)

Mckinsey & Company; Gurugram District, Bengaluru; Hybrid; INR 2,000,000 - 4,200,000; Full time

Benefits offered by this job

World-class benefits

Job summary

McKinsey & Company, Gurugram or Bengaluru, is hiring for an AI/analytics role in OptimusAI. You will work with a team of experts to enhance client performance across energy, quality, and capacity. You will build products and algorithms, codify best practices, and communicate results to executives.

Travel to client sites worldwide is expected. Ideal candidates bring 4+ years in advanced analytics, Python expertise, and cloud/MLOps experience.

Qualifications

• Bachelor's degree in a relevant field.
• 4+ years of analytics experience in heavy industry contexts.
• Proficient in Python with cloud computing experience.
• Experience implementing CI/CD and MLOps pipelines.

Responsibilities

• Collaborate in a multi-disciplinary team to improve client performance.
• Develop products and algorithms addressing client needs.
• Codify best practices and contribute to the product roadmap.
• Travel to client sites locally and internationally.

Skills

Python programming

MLOps pipelines

DevOps practices

Communication

Travel readiness

Education

Bachelor's degree in Computer Science/Analytics/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

AWS/GCP/Azure

Job description

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 clients 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 McKinseys 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 colleaguesat all levelswill 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 wont 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 firms 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 Qualification 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
• Willingness to travel to other offices and/or client locations for short/long term assignments