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Private Jobs / Private Sector
McKinsey & Company Hiring for Data Scientist – QuantumBlack at Gurgaon, Haryana Full Time
Full Job Description
Who You’ll Work With
You will be based in our Gurugram office as part of QuantumBlack.
As a data scientist at QuantumBlack, you will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects using mathematics, statistics and machine learning to derive structure and knowledge from raw data across various industry sectors.
What You’ll Do
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role Responsibilities
Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems
Develop data science products and solutions for clients as well as for our data science team
Write highly optimized code to advance our internal Data Science Toolbox
Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish
Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
What you’ll learn/do
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Create valuable, transformative business strategies through the measurement, modelling and dissemination of broad sets of data.
Apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions
Conduct deep analytics on a broad set of client and external data and play a lead role in team problem solving through findings and insights from that analysis.
Best practices in software development and production-ready machine learning by working with our Machine Learning Engineering teams that optimize code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualizations
Using new technologies and problem-solving skills in a multicultural and creative environment
Lead and support the development of knowledge for our analytics group; create a roadmap for a greater understanding of analytics and its impact in the consulting population.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programs at all levels.
Multidisciplinary Teamwork – Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life.
We work on a variety of projects across industries such as EPNG, Pharma, Healthcare, Automobile, Semiconductor. Banking, Insurance, Consumer etc. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Pharma Manufacturing – We helped a top tier pharma client design dynamic scheduling of packaging and manufacturing lines to improve throughput.
Oil & Gas Manufacturing – Engaged with an O&G company to maximize their yield at a methanol plant, optimize distribution of natural gas, help in energy optimization in LNG liquefaction units using MLOps.
Coal Mining – Improved yield & throughput in a coal plant through multi-objective non-linear optimization using genetic algorithms to maximize throughput
Product Development – We helped in development of full-scale solution for a US pharma giant using over 100+ GB of data for visualizing the Patient Journey cycle end to end & for benchmarking their products’ usage against competition
EPNG Company – We helped a top EPNG company optimize their supply chain, manufacturing processes and utilities to improve yield, energy consumption and overall throughput
Visit our Careers site to watch our video and read about our interview processes and benefits.
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion, or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
Qualifications
Graduate or postgraduate degree in computer science, engineering, applied mathematics, quantitative social sciences or related field
2+ years of professional work experience with an analytics firm
Experience working in industries like manufacturing, mining, chemicals, oil and gas, semiconductor, travel and logistics or pharmaceuticals is a plus
Programming experience in Python and R
Hands-on experience of machine learning algorithms such as random forest, support vector machines, gradient boosting, Naïve Bayes, etc. and neural net/deep learning algorithms
Exposure to ML Ops, AWS, GCP, GitHub, Docker, Kedro is a plus
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields
You will be based in our Gurugram office as part of QuantumBlack.
As a data scientist at QuantumBlack, you will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects using mathematics, statistics and machine learning to derive structure and knowledge from raw data across various industry sectors.
What You’ll Do
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role Responsibilities
Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems
Develop data science products and solutions for clients as well as for our data science team
Write highly optimized code to advance our internal Data Science Toolbox
Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish
Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
What you’ll learn/do
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Create valuable, transformative business strategies through the measurement, modelling and dissemination of broad sets of data.
Apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions
Conduct deep analytics on a broad set of client and external data and play a lead role in team problem solving through findings and insights from that analysis.
Best practices in software development and production-ready machine learning by working with our Machine Learning Engineering teams that optimize code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualizations
Using new technologies and problem-solving skills in a multicultural and creative environment
Lead and support the development of knowledge for our analytics group; create a roadmap for a greater understanding of analytics and its impact in the consulting population.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programs at all levels.
Multidisciplinary Teamwork – Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life.
We work on a variety of projects across industries such as EPNG, Pharma, Healthcare, Automobile, Semiconductor. Banking, Insurance, Consumer etc. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Pharma Manufacturing – We helped a top tier pharma client design dynamic scheduling of packaging and manufacturing lines to improve throughput.
Oil & Gas Manufacturing – Engaged with an O&G company to maximize their yield at a methanol plant, optimize distribution of natural gas, help in energy optimization in LNG liquefaction units using MLOps.
Coal Mining – Improved yield & throughput in a coal plant through multi-objective non-linear optimization using genetic algorithms to maximize throughput
Product Development – We helped in development of full-scale solution for a US pharma giant using over 100+ GB of data for visualizing the Patient Journey cycle end to end & for benchmarking their products’ usage against competition
EPNG Company – We helped a top EPNG company optimize their supply chain, manufacturing processes and utilities to improve yield, energy consumption and overall throughput
Visit our Careers site to watch our video and read about our interview processes and benefits.
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion, or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
Qualifications
Graduate or postgraduate degree in computer science, engineering, applied mathematics, quantitative social sciences or related field
2+ years of professional work experience with an analytics firm
Experience working in industries like manufacturing, mining, chemicals, oil and gas, semiconductor, travel and logistics or pharmaceuticals is a plus
Programming experience in Python and R
Hands-on experience of machine learning algorithms such as random forest, support vector machines, gradient boosting, Naïve Bayes, etc. and neural net/deep learning algorithms
Exposure to ML Ops, AWS, GCP, GitHub, Docker, Kedro is a plus
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields