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QuantumBlack, AI by McKinsey
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Senior Data Science Analyst - QuantumBlack
India
· Full-time
·
Mid-Senior
Who You'll Work With
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:
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:
Your Qualifications and Skills
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.
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
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
Key Skills
Ranked by relevance
machine learning
python
cloud
scrum
spark
jira
kubernetes
typescript
terraform
grafana
docker
apache
splunk
mlflow
react
itil
aws
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- Posted
- Feb 24, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Gurgaon
- Company
- QuantumBlack, AI by McKinsey
Industries
Business Consulting
Services
Categories
Consulting
Engineering
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3 roles aligned with this opportunity
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