228 Science Research jobs in India
Research Science Analyst - Performance Lens
Posted today
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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. 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.
Based in Gurugram, India, as part of our Performance Lens team, you will conduct in-depth secondary research on industry structures and dynamics. This includes gathering and validating data from sources such as industry reports, annual reports, regulatory bodies, and local data providers. You will collaborate with McKinsey experts to ensure accurate sizing of the asset management (AM) industry in specific markets.
You will develop and maintain advanced Excel models, analyzing global AM market trends by integrating publicly available and proprietary data. Your insights will help refine forecasting processes for focus markets. Additionally, you will support global consulting teams by providing Growth Cube data, charts, and insights, while addressing client queries.
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.
You will take full ownership of key Global Growth Cube country models, synthesizing external research and offering deep content expertise to internal and external stakeholders.
- Master’s degree in business, economics, finance or related field
- 2+ years of background or strong interest in asset management, economics and industry dynamics
- Capable problem solver with the drive to identify and execute creative solutions
- Strong Excel, analytical and data management skills. Ability to quickly synthesize various data sources to generate clear, complete perspectives
- Ability and flexibility to manage multiple assignments in a dynamic, complex and fast-paced environment
- High level of attention to detail. Excited about quantitative data and financial analysis
- Comfortable with ambiguity; strong sense of ownership and perseverance. Growth mindset and self-starter attitude
- Comfortable with in-office presence as we encourage in-person problem solving and collaboration between colleagues, and working across a global team in multiple geographic time zones
- Business-level language skills. Fluency in English required; knowledge of other languages is a plus
Senior Engineer Research Science Engineering
Posted today
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Job Description
About Analog Devices
Analog Devices, Inc. (NASDAQ: ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at and on and.
Analog Devices Inc. (ADI) is seeking a motivated and experienced SPICE Modeling Engineer to support advanced semiconductor process development. This position is based in Bangalore, India, and is part of ADI’s global modeling team, with members across the US, Ireland, and India.
We are particularly interested in candidates with deep expertise in high-voltage LDMOS and CMOS device modeling, as well as in modeling inter-device coupling effects—especially those driven by parasitic bipolar action in monolithic silicon technologies.
The ideal candidate will have a strong foundation in device physics, a hands-on approach to electrical characterization, and a passion for exploring the physical limits of electronic instrumentation. This role is not just about using modeling tools—it’s about diving deep into measurements, experimentation, and innovation.
Responsibilities and Duties include but are not limited to:
Minimum Qualifications:
Preferred Qualifications:
Research Science Analyst - Global Banking Pools
Posted today
Job Viewed
Job Description
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. 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, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.
You will help build and maintain our knowledge assets around banking market sizing and you will serve clients by leveraging our tools to bring insights around the banking landscape.
You will maintain and create databases by undertaking fundamental research in central bank documents and commercial bank annual reports around the globe.
You will incorporate findings into a standardized data structure and share information with users of a global market-sizing database.
You will have a chance to build a deep understanding of the operations of several banking markets around the globe and gain insight into the operations of a global research center in the financial industry.
Additionally, you will have a great opportunity to deepen your understanding of the financial sector worldwide, further build your data management and analytical skills and work in a dynamic business environment.
You will receive exceptional training as well as frequent coaching and mentoring from more senior colleagues.
You will work in our McKinsey Knowledge Center in Gurgaon as part of the Global Banking Pools team (GBP) within Panorama Financial Institutions and Insights consulting team (PFIC).
PFIC is one of the largest knowledge team globally and part of the FIG practice, with ~230 members and a global footprint across 25+ countries, focusing on financial services domains, e.g., Retail banking, Corporate & Investment Banking, Wealth & Asset Management, Fintech and Insurance.
Global Banking Pools team focuses specifically on product-level market-sizing across full spectrum of banking revenues globally and help clients in developing market strategy based on data driven insights.
- Master's degree in economics or finance related field; mathematics, statistics is an added advantage
- Basic understanding of banking economics and macroeconomics
- Familiarity with banks' financial reports is a plus
- Experienced user of Excel; R, Python, other advanced analytics tool or programming knowledge is a plus
- Strong analytical capability; ability to synthesize complex relationships
- Outstanding attention to detail and dedication to data accuracy
- Ability to work efficiently under pressure and keep tight deadlines
- Professional attitude and service orientation
- Ability to work independently as well as in a team
- Entrepreneurial and self-starters who enjoy the challenges and rewards of research work in a dynamic and changing environment
- Strong written and verbal communication skills in English
Data Science Manager (Media/Market Research)
Posted 2 days ago
Job Viewed
Job Description
As a Data Science Manager you will have following key accountabilities:
Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning.
Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders.
Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes.
Key Qualifications
Educational Background:
PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams
Communication Skills:
- Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.
- Strong problem-solving skills and an independent working style.
Technical Expertise:
- Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.
- Solid in analytical programming languages such as Python or R, along with their respective ecosystems.
- Hands-on experience implementing these models in production systems.
- Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies.
Preferred qualifications
- Experience in the Media industry
- Experience working with cloud-based data services (AWS, Azure, or GCP)
- Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus
Data Science Manager (Media/Market Research)
Posted today
Job Viewed
Job Description
Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning.
Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders.
Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes.
Key Qualifications
Educational Background:
PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams
Communication Skills:
- Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.
- Strong problem-solving skills and an independent working style.
Technical Expertise:
- Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.
- Solid in analytical programming languages such as Python or R, along with their respective ecosystems.
- Hands-on experience implementing these models in production systems.
- Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies.
Preferred qualifications
- Experience in the Media industry
- Experience working with cloud-based data services (AWS, Azure, or GCP)
- Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus
Data Science Manager (Media/Market Research)
Posted today
Job Viewed
Job Description
As a Data Science Manager you will have following key accountabilities:
Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning.
Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders.
Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes.
Key Qualifications
Educational Background:
PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams
Communication Skills:
- Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.
- Strong problem-solving skills and an independent working style.
Technical Expertise:
- Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.
- Solid in analytical programming languages such as Python or R, along with their respective ecosystems.
- Hands-on experience implementing these models in production systems.
- Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies.
Preferred qualifications
- Experience in the Media industry
- Experience working with cloud-based data services (AWS, Azure, or GCP)
- Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus
Data Science Manager (Media/Market Research)
Posted 9 days ago
Job Viewed
Job Description
As a Data Science Manager you will have following key accountabilities:
Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning.
Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders.
Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes.
Key Qualifications
Educational Background:
PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams
Communication Skills:
- Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.
- Strong problem-solving skills and an independent working style.
Technical Expertise:
- Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.
- Solid in analytical programming languages such as Python or R, along with their respective ecosystems.
- Hands-on experience implementing these models in production systems.
- Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies.
Preferred qualifications
- Experience in the Media industry
- Experience working with cloud-based data services (AWS, Azure, or GCP)
- Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus
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Data Science Manager (Media/Market Research)
Posted today
Job Viewed
Job Description
As a Data Science Manager you will have following key accountabilities:
Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning.
Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders.
Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes.
Key Qualifications
Educational Background:
PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.
Leadership Experience:
Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams
Communication Skills:
- Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.
- Strong problem-solving skills and an independent working style.
Technical Expertise:
- Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.
- Solid in analytical programming languages such as Python or R, along with their respective ecosystems.
- Hands-on experience implementing these models in production systems.
- Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies.
Preferred qualifications
- Experience in the Media industry
- Experience working with cloud-based data services (AWS, Azure, or GCP)
- Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus
Manager - Scientific Research
Posted 6 days ago
Job Viewed
Job Description
**Main Purpose of the job:**
1. Responsible for conducting scientific research in the area of food safety in line with global strategy.
2. Lead, manage and support projects aligned to NIFSAS/NFSI strategy to deliver business needs as per defined timelines.
3. Carry out Lab activities end to end and ensure the proficiency and optimal functioning of the lab in line with Nestle and/or IS 17025 GLP & Safety protocols.
4. Maintaining all documentation in line with Nestle requirements (E.g. For projects, i2l, analysis, data management, CAPEX, budget, training, key decisions, etc.)
**Key Outputs:**
Scientific Research & Technical Assistance
+ Lead, manage and support scientific research projects and experiments to deliver business needs aligned to global strategy in collaboration with NIFSAS, NFSI China, NPTC's, NQAC, CO-QM, Markets, Academia and Analytical Partners, etc. Support other ongoing NFSI & R&D projects as core/extended team members.
+ Document all scientific research as per i2l and/or other Technical Assistance(TA) /Proof of Concepts (POC)
+ I2L or POC - IP/ Patents and update for relevant governance mechanisms
+ Validate and establish validation dossiers for new and existing methods according to Nestlé validation standards as required within project activities
+ Provide reliable analytical data in a timely manner to support projects for R&D, NIFSAS or Market.
+ Build and document knowledge (Laboratory Instructions/SOP's/R&D Reports) from projects and/or about latest methods, trends and developments in relevant field
+ Method Completion, Transfer and Deployment end to end in line with relevant stakeholders (NIFSAS/NFSI, R&D, Market, NQAC, etc.). Support Markets/NQAC in implementing method updates, alternative methods and in establishing monitoring plans.
+ Support relevant stakeholders in Market and above market for any trouble shooting, duly compensated with science based facts/ literature/ evidence for any escalated business challenges
+ Digitalization initiatives/ mechanisms like early warnings
+ Share /present results/methods in written and oral form to internal & external stakeholders as per confidentiality principles
Laboratory Methods and Practices:
+ Responsible for efficient (safety, time, cost) functioning of the laboratory including availability of equipment to carry out analysis, internal and external quality control
+ Select, organize and follow up analysis performed by subcontracted labs, as per scope of work
+ Conducting self-assessment/verification and internal audits to ensure Lab Safety & GLP systems/compliance
+ Assist factories and markets in matters related to instrumentation, analytical monitoring and Good Laboratory Practice.
**Years of experience:** Minimum 2 years in the area of food related research and analysis.
**Education:** Preferably PhD in Chemistry, Organic chemistry, Inorganic Chemistry, Dairy, Oil, Food Chemistry, Food Science Or Masters in same subjects with min 5-7 years work experience
Sales & Marketing (Research & Laboratory Chemicals)
Posted today
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Job Description
**Job Description**:
As a Field Sales Officer for Research & Laboratory Chemicals, you will be responsible for driving sales growth and building strong customer relationships within your designated territory. Leveraging your knowledge of research and laboratory chemicals and your sales expertise, you will work closely with customers to understand their needs, recommend appropriate solutions, and achieve sales targets.
Key Responsibilities:
1. Develop and execute a territory sales plan to achieve sales targets and revenue goals for research and laboratory chemicals.
2. Identify and prospect potential customers within your assigned territory, including scientific institutions, academic laboratories, pharmaceutical companies, and biotechnology firms.
3. Build and maintain strong relationships with existing customers, understanding their research needs, providing product recommendations, and offering exceptional customer service and support.
5. Collaborate with internal stakeholders, including sales management, marketing, and customer service teams, to support customer inquiries, resolve issues, and ensure customer satisfaction.
6. Stay abreast of industry trends, scientific developments, and competitor activities to identify sales opportunities and potential threats within your territory.
7. Attend industry conferences, trade shows, and networking events to promote our products, generate leads, and expand your professional network within the scientific community.
8. Utilize CRM software to track customer interactions, manage sales leads, and generate sales reports to monitor performance and progress against targets.
9. Provide feedback to sales management and product management teams on customer needs, market trends, and product performance to inform strategic decision-making and product development initiatives.
10. Ensure compliance with all company policies, procedures, and regulatory requirements related to sales activities, including pricing, contracts, and ethical standards.
Qualifications:
- Bachelor's degree in Chemistry, Biochemistry, Life Sciences, Business Administration, or related field.
- Proven track record of success in field sales, preferably in the scientific research or laboratory chemicals industry.
- Strong interpersonal and communication skills, with the ability to build rapport and trust with customers.
- Self-motivated and results-oriented, with the ability to work independently and prioritize tasks effectively.
- Ability to travel within the assigned territory as needed to meet with customers, attend events, and support sales activities.
**Job Types**: Full-time, Permanent
Pay: ₹9,834.59 - ₹30,000.00 per month
Day range:
- Monday to Friday
Shift:
- Day shift
- Fixed shift
Supplemental pay types:
- Performance bonus
- Yearly bonus
Travel requirement:
- No travel
**Education**:
- Bachelor's (preferred)
**Experience**:
- total work: 4 years (preferred)
Work Location: In person
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