376 Data Science jobs in Mumbai
Manager, Data Science
Posted 16 days ago
Job Viewed
Job Description
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**How you will contribute**
You will:
+ Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling
+ Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
+ Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results
+ Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
+ Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
+ Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making
+ Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Strong quantitative skillset with experience in statistics and linear algebra.
+ A natural inclination toward solving complex problems
+ Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it
+ Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons
+ Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
+ Good communication skills to promote cross-team collaboration
+ Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
+ Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders
We're looking for a Senior Data Scientist to lead data science engagements within Mondelēz International. This role involves owning the full lifecycle of data science application projects, from concept to deployment and optimization. You'll also be a strategic advisor, shaping our data science capabilities, and defining internal standards for application development.
Your responsibilities also include the enterprise-level data science applications design and recommending the right tools and technologies. A good balance between traditional AI/ML and GenAI experience is preferred. You'll play a critical role in driving innovation, maximizing value, and fostering responsible AI adoption in D&A function.
**Key Responsibilities:**
+ **Lead Data Science Application Development/Deployment:** Lead the full lifecycle of data science projects, from ideation and design to deployment and optimization, whether developed in-house, through partner collaboration or buying off-the-shelf.
+ **Advisory AI/GenAI** : Provide strategic advice on the evolution of our AI/GenAIcapabilities to match company goals. Keeping up with the latest GenAItrend.
+ **Standards and Governance:** Help establish/refresh and enforce programmatic approaches, governance frameworks and best practices for effective data science application building.
+ **Technology Evaluation and Recommendation** : Evaluate and recommend the most appropriate AI/GenAItools, technologies.
+ **Knowledge Sharing and Mentoring** : Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong AI community within Mondelēz.
**Skills and Experiences:**
+ **Deep understanding of data science methodol** **ogies** **and implications** **:** proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc.
+ **Hands-on experience in cloud environment** (8 years) **:** Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc.
+ **LLM Application architecture & Integration** (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies.
+ **Cloud Based Deployment & Scaling:** Practical experience deploying and scaling data science (including GenAI) applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application.
+ **Collaboration with cross-functional teams/stakeholder management** (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts. A big emphasis on the ability to listen and capture key information.
**Qualifications:**
+ Master's degree in a Quantitative Discipline, PhD preferred.
+ Minimum 8 years of experience in data science/AI.
+ Minimum 2 years of GenAI experience.
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
**Business Unit Summary**
**At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.**
**We have a rich portfolio of strong brands globally and locally including many household names such as** **_Oreo_** **,** **_belVita_** **and** **_LU_** **biscuits;** **_Cadbury Dairy Milk_** **,** **_Milka_** **and** **_Toblerone_** **chocolate;** **_Sour Patch Kids_** **candy and** **_Trident_** **gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.**
**Our 80,000 makers and bakers are located in more** **than 80 countries** **and we sell our products in** **over 150 countries** **around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Data Science
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Data Science Manager
Posted 9 days ago
Job Viewed
Job Description
Godrej Capital is a subsidiary of Godrej Industries and is the holding company for Godrej Housing finance & Godrej Finance. With a digital-first approach and a keen focus on customer-centric product innovation, Godrej Capital offers Home Loans, Loan Against Property, Property Loans, Business Loans and is positioned to diversify into other customer segments and launch new products. The company is focused on building a long-term, sustainable retail financial services business in India, anchored by Godrej Group’s 125+year legacy of trust and excellence. Godrej Capital has a special focus on learning and capability development across its employee base and is committed to diversity, equity, and inclusion as a guiding principle.
The organization has been consistently recognized as a Great Place to Work™ receiving certifications in 2022 and 2023. As it stands, Godrej Capital holds a spot among India's Top 50 Best Workplaces in BFSI 2023 and is also recognized as one of India’s Great Mid-Size Workplaces 2023. Beyond that, it has also had the honor of being named the Best Organization for Women by The Economic Times in both 2022 and 2023, and the Best Workplaces for Women by Great Place to Work in 2022 and in 2023.
About the Role:
As a key member of the Modeling Center of Excellence at Godrej Capital, you will drive data-driven initiatives that empower strategic business decisions through model building and implementation. Your expertise will contribute to developing advanced analytical models, optimizing credit risk processes, and implementing innovative solutions that enhance the company's lending operations.
Key Responsibilities:
- Design, develop, and deploy machine learning models and analytical algorithms to support credit risk assessment, behavioral scoring, collection prioritization, customer propensity modeling, and other critical lending decisions.
- Analyze complex datasets to identify patterns, trends, and emerging risks, delivering actionable insights through models that inform business strategies and early warning systems.
- Collaborate closely with technology teams to enhance data infrastructure and optimize business workflows, ensuring seamless integration and production deployment of scalable ML models.
- Lead, mentor, and guide a team of junior analysts and data scientists in delivering high-quality, impactful analytical frameworks and models.
- Explore and incorporate alternative data sources and innovative data-driven techniques to uncover new opportunities and refine credit risk for improved portfolio performance.
Qualifications & Experience:
- 5 to 7 years of professional experience in Risk Analytics or related data science roles, preferably within the BFSI sector.
- Bachelor’s or Master’s degree in Engineering, Economics, Statistics, Mathematics, or a related quantitative discipline; a preference for candidates with an engineering background.
- Proficiency in SQL for complex data querying and thorough data analysis.
- Strong programming skills in Python and/or R, with hands-on experience applying statistical algorithms and machine learning techniques in real-world business contexts.
- Experience in scorecard development, no-code low code ML development platforms, portfolio monitoring, or policy analytics is highly desirable.
- Prior experience mentoring junior team members is an advantage.
Data Science Intern
Posted 16 days ago
Job Viewed
Job Description
Primary Responsibilities
- Assist in developing AI-powered applications using React, TypeScript, Python, and FastAPI under mentorship
- Contribute to LLM feature development and explore agentic AI frameworks with guidance
- Create proof-of-concepts and prototypes for new AI solution ideas
- Participate in stakeholder meetings and help translate business requirements into technical approaches
- Support testing, debugging, and optimization of existing AI applications
- Document learning progress and contribute to team knowledge sharing
Key Performance Indicators
- Learning Velocity: Master assigned technologies and complete learning milestones within 4-week intervals
- Contribution Quality: Successfully complete 1-2 meaningful features or prototypes per month
- Feedback Integration: Demonstrate continuous improvement based on code reviews and mentorship
- Initiative: Propose and prototype 1 innovative AI solution concept during internship period
- Collaboration: Actively contribute to team discussions and stakeholder meetings
- Documentation: Maintain clear project documentation and share learnings with team
Duration - 6 months to 1 year
Qualifications:
- Currently pursuing or completed Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field
- Completed coursework in programming fundamentals, data structures, and algorithms
Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
Godrej Capital is a subsidiary of Godrej Industries and is the holding company for Godrej Housing finance & Godrej Finance. With a digital-first approach and a keen focus on customer-centric product innovation, Godrej Capital offers Home Loans, Loan Against Property, Property Loans, Business Loans and is positioned to diversify into other customer segments and launch new products. The company is focused on building a long-term, sustainable retail financial services business in India, anchored by Godrej Group’s 125+year legacy of trust and excellence. Godrej Capital has a special focus on learning and capability development across its employee base and is committed to diversity, equity, and inclusion as a guiding principle.
The organization has been consistently recognized as a Great Place to WorkTM receiving certifications in 2022 and 2023. As it stands, Godrej Capital holds a spot among India's Top 50 Best Workplaces in BFSI 2023 and is also recognized as one of India’s Great Mid-Size Workplaces 2023. Beyond that, it has also had the honor of being named the Best Organization for Women by The Economic Times in both 2022 and 2023, and the Best Workplaces for Women by Great Place to Work in 2022 and in 2023.
About the Role:
As a key member of the Modeling Center of Excellence at Godrej Capital, you will drive data-driven initiatives that empower strategic business decisions through model building and implementation. Your expertise will contribute to developing advanced analytical models, optimizing credit risk processes, and implementing innovative solutions that enhance the company's lending operations.
Key Responsibilities:
- Design, develop, and deploy machine learning models and analytical algorithms to support credit risk assessment, behavioral scoring, collection prioritization, customer propensity modeling, and other critical lending decisions.
- Analyze complex datasets to identify patterns, trends, and emerging risks, delivering actionable insights through models that inform business strategies and early warning systems.
- Collaborate closely with technology teams to enhance data infrastructure and optimize business workflows, ensuring seamless integration and production deployment of scalable ML models.
- Lead, mentor, and guide a team of junior analysts and data scientists in delivering high-quality, impactful analytical frameworks and models.
- Explore and incorporate alternative data sources and innovative data-driven techniques to uncover new opportunities and refine credit risk for improved portfolio performance.
Qualifications & Experience:
- 5 to 7 years of professional experience in Risk Analytics or related data science roles, preferably within the BFSI sector.
- Bachelor’s or Master’s degree in Engineering, Economics, Statistics, Mathematics, or a related quantitative discipline; a preference for candidates with an engineering background.
- Proficiency in SQL for complex data querying and thorough data analysis.
- Strong programming skills in Python and/or R, with hands-on experience applying statistical algorithms and machine learning techniques in real-world business contexts.
- Experience in scorecard development, no-code low code ML development platforms, portfolio monitoring, or policy analytics is highly desirable.
- Prior experience mentoring junior team members is an advantage.
Data Science Intern
Posted 2 days ago
Job Viewed
Job Description
Primary Responsibilities
- Assist in developing AI-powered applications using React, TypeScript, Python, and FastAPI under mentorship
- Contribute to LLM feature development and explore agentic AI frameworks with guidance
- Create proof-of-concepts and prototypes for new AI solution ideas
- Participate in stakeholder meetings and help translate business requirements into technical approaches
- Support testing, debugging, and optimization of existing AI applications
- Document learning progress and contribute to team knowledge sharing
Key Performance Indicators
- Learning Velocity: Master assigned technologies and complete learning milestones within 4-week intervals
- Contribution Quality: Successfully complete 1-2 meaningful features or prototypes per month
- Feedback Integration: Demonstrate continuous improvement based on code reviews and mentorship
- Initiative: Propose and prototype 1 innovative AI solution concept during internship period
- Collaboration: Actively contribute to team discussions and stakeholder meetings
- Documentation: Maintain clear project documentation and share learnings with team
Duration - 6 months to 1 year
Qualifications:
- Currently pursuing or completed Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field
- Completed coursework in programming fundamentals, data structures, and algorithms
Data science intern
Posted today
Job Viewed
Job Description
About the CompanyZe Theta Algorithms Private Limited is a Fin Tech start-up which has been recently set up and is developing innovative AI tools. the RoleAs a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.ResponsibilitiesConduct data cleaning, wrangling, and pre-processing for financial datasets.Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.Use either one – Python, Excel or R to analyse, visualize, and model financial data.Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.Who Should Apply?Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.Strong problem-solving and analytical skills.Able to self-learn and work independently in a remote, flexible environment.Internship DetailsDuration: Option of 1 month, 2 month, 3 month, 4 month or 6 monthsTiming: Self-paced.Type: Unpaid
Data science analyst
Posted today
Job Viewed
Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.What You’ll DoAnalyze complex datasets to uncover trends, patterns, and actionable insights.Develop predictive models and statistical analyses to support business strategies.Collaborate with cross-functional teams to understand data needs and deliver solutions.Build dashboards and visualizations to communicate findings effectively to stakeholders.Stay ahead of data trends and implement best practices in analytics and machine learning.What We’re Looking ForBachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.Strong programming skills in Python, R, or SQL.Experience with data visualization tools (Tableau, Power BI, etc.).Solid understanding of machine learning algorithms and statistical methods.Excellent problem-solving and communication skills.A curious mindset with a passion for exploring data.Why Join Us?Opportunity to work on exciting, high-impact projects.Collaborative and supportive work environment.Resources for professional development and growth.A chance to shape the future of data-driven decision-making.
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Mlops data science
Posted today
Job Viewed
Job Description
Key Responsibilities:Develop, train, and validate predictive and analytical models using machine learning techniques.Collaborate with data engineers and business teams to define data requirements and success metrics.Deploy machine learning models into production using ML Ops best practices.Build automated pipelines for model training, testing, monitoring, and retraining.Optimize model performance and ensure scalability and reliability.Monitor model drift, performance degradation, and ensure continuous improvement.Implement CI/CD practices for machine learning workflows.Technical Skills Required:Strong proficiency in Python (Pandas, Num Py, Scikit-learn, Py Torch/Tensor Flow).Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, Sage Maker, Vertex AI, or Azure ML).Good understanding of data engineering concepts (ETL, data pipelines, APIs).Hands-on with containerization and orchestration (Docker, Kubernetes).Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.Strong background in statistics, machine learning algorithms, and model evaluation techniques.Familiarity with version control (Git) and CI/CD pipelines.Preferred Qualifications:Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.Experience in handling large-scale data pipelines and real-time model serving.Exposure to feature stores and automated model monitoring.Strong problem-solving, analytical, and communication skills.
Data Science Intern
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Perform exploratory data analysis (EDA) to uncover insights and patterns.
- Support the development and implementation of machine learning models.
- Collaborate on data visualization and reporting tasks.
- Learn and apply statistical analysis techniques.
- Work with large datasets and databases.
- Participate in team meetings and contribute to project discussions.
- Document findings and methodologies.
- Assist in evaluating model performance and identifying areas for improvement.
- Gain practical experience with data science tools and libraries.
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python programming and relevant libraries (Pandas, NumPy, Scikit-learn).
- Familiarity with SQL and database querying.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Eagerness to learn and a proactive attitude.
- Prior experience with data analysis projects is a plus.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.