Consultancies

Senior Data Science Analyst - QuantumBlack

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

You will be part of a LiveOps team in QuantumBlack, applying data science to ensure the sustainable impact of ML solutions in production. You will work with the LiveOps Lead and the LiveOps Engineer (Data Engineering) to continuously improve and maintain deployed models, resolve issues, and incorporate user feedback. Responsibilities include monitoring model performance, identifying root causes, prioritizing interventions, and owning incidents and SLAs to deliver timely, high-quality results. The role also involves documenting work, providing regional support, and contributing to proactive strategies to prevent data problems and drive adoption.

Analytics

Senior Data Science Analyst - QuantumBlack

Job ID: 104578

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

You will be part of a LiveOps team in QuantumBlack. You will apply data science expertise to assure sustainable impact of ML solutions developed.

You will work alongside the LiveOps Lead and the LiveOps Engineer (Data Engineering) to continuously improve and maintain deployed models, resolving model-specific issues and integrating user feedback.

As a Data Scientist you will:

Perform a critical role in Supporting ML solutions and managing the work with responsibility to ensure stability, continuity and availability of the models, in addition to providing rapid response to incidents and escalated users queries.
Maintain, test and improve existing machine learning solutions to ensure value capturing from model recommendations
Monitor relevant metrics of machine learning models in production to identify potential issues, detect root causes and define resolution actions
Identify, research and prioritize interventions to improve model efficiency based on feedback results from adoption
Collect issues and feedback reported by end-users and collaborate with the scrum master to develop an intervention plan
Proactively detect potential risks stemming from model adoption and plan for resolutions with the scrum master
Own and prioritize individual Incidents and ensuring the delivery of solutions in line with the Service Level agreements and Operational Level Agreements to deadlines and quality standards, providing regular update to key stakeholders and all levels
Deliver documentation to agreed standards, on time and error free
Provide regional cover and support, providing expertise and specialized domain knowledge to allow resolution of key incidents during business hours
Identify proactive remedial strategies to prevent future data problems and to improve the quality of delivered solutions
Proactive and reactive monitoring and alerting
Own and contribute to individual Service Improvement items including incident reduction and automation

We leverage Python, Spark, Kedro, Apache Airflow, JIRA, Service Now, AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects.

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

Graduate or postgraduate degree in computer science, engineering, applied mathematics, quantitative social sciences or related field
2-5 years of relevant industry analytics experience
Knowledge of ITIL processes
Good understanding and hands-on experience on Python, Spark and MLFlow
Hands on experience on SQL/MSSQL Database.
Good working knowledge of monitoring tools like Grafana and Splunk. Working knowledge of Kedro is helpful.
Understanding of JIRA, Service Now tools.
Good to have working knowledge on any cloud provider – AWS/Azure/GCP
Ability to work effectively with people at all levels in an organization
Good to have knowledge of some scheduling tools like Airflow, Argo
Skills to communicate complex ideas effectively

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 - SCAA - Senior Capabilities and Insights Analytics Analyst
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jan 12 00:00:00 GMT 2026
LinkedIn Posting City - Gurgaon
LinkedIn Posting State/Province -
LinkedIn Posting Country - India
LinkedIn Job Title - Senior Data Science Analyst - QuantumBlack
LinkedIn Function - Consulting;Engineering
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Mid-Senior level