355 Data Science jobs in Mumbai
Data Science
Posted today
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About the Internship:
We are offering an exciting opportunity for freshers and recent graduates to work on a live AI-driven project. If you are passionate about Data Science, AI, and Full-Stack Development, this internship will give you practical exposure to building and scaling an AI product from the ground up.
Internship Details:
- Duration: 4 Months
- Type: Internship (Unpaid – Experience & Mentorship only)
- Location: Remote / Mumbai preferred
- Eligibility: Freshers or recently passed-out candidates
Responsibilities:
- Build and fine-tune AI/ML models (time-series forecasting, regression, prediction).
- Develop and maintain data pipelines to handle real-world business datasets.
- Contribute to front-end dashboards for visualizing AI insights.
- Work on back-end development (APIs, data integration, model deployment).
- Create impactful data visualizations that translate AI outputs into business insights.
- Collaborate with mentors and product team to improve AI features.
Requirements:
- Knowledge of Python and data libraries (pandas, NumPy, scikit-learn, statsmodels, Prophet).
- Understanding of AI/ML concepts (forecasting, predictive modeling, regression).
- Basic knowledge of front-end frameworks (React/Angular/Vue).
- Basic knowledge of back-end frameworks (Flask, Django, ).
- Familiarity with databases (SQL, NoSQL).
- Problem-solving skills, curiosity, and eagerness to learn.
What You'll Gain:
- Hands-on experience in AI development with real datasets.
- Learn to integrate AI models into full-stack applications.
- Mentorship from professionals working on AI-driven projects.
- Opportunity to work on a live AI product and see your work make impact.
- Certificate of Internship & Letter of Recommendation on successful completion.
How to Apply:
Apply via Indeed with your resume and a short note on why you're excited to work on an AI-related project. or send your resume at
If you are looking to kickstart your career in AI, Data Science, and Full-Stack Development, this internship is a chance to work on something real, impactful, and career-shaping.
Job Types: Part-time, Fresher, Internship
Contract length: 4 months
Pay: From ₹3,000.00 per month
Expected hours: 48 per week
Work Location: Remote
Data Science
Posted today
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Data Science & Analytics Intern (Virtual | Flexible Duration)
Skillfied Mentor is inviting applications for the role of
Data Science & Analytics Intern
, a golden opportunity for students and freshers to explore the world of
data-driven insights and machine learning applications
.
Key Details:
Mode: Virtual (Work from Anywhere)
Duration: Flexible, as per your schedule
Stipend: Unpaid (Top performers will receive recognition & rewards)
Certificate: ISO-verified internship completion certificate
Application Deadline:
25th August
Eligibility:
Open to students, freshers, and early professionals
Interest in
data science, analytics, and problem-solving
Basic knowledge of Python, SQL, Excel, or Statistics preferred (not mandatory)
Strong analytical mindset and eagerness to learn
Why Join Us?
This internship will help you build skills in
data analysis, visualization, and predictive modelling
, preparing you for roles in
Data Science, Machine Learning, and Business Analytics
.
Apply before
20th August
to secure your spot in our upcoming batch.
Data Science
Posted today
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Roles and responsibilities- Requirement gathering from Customer, Business Development and Deployment Teams
- Work on complex and variety of data to solve real-world problems in Manufacturing.
- Designing, Developing and Delivering predictive, forecasting, optimization and simulation
models using statistics, Machine Learning and AI programs- Research and Design new algorithms, models and modules (Data Cleaning, Data Quality,
Alert) for Bodhee AI Apps- Responsible for end-to-end delivery of model starting with requirement analysis, data
exploration, data extraction, feature engineering, model selection, tuning and
- deployment.- Present impact, insights, outcomes & recommendations to key business partners and
stakeholders.- Set-up and enforce coding standards
- Manage delivery of AI Apps
- Set-up and enforce MLOps for all deployments
- Data Modeling
- Prepare test plans and manage Integration Testing
- Manage integration of AI modules with UI and back-end modules in collaboration with
Full
- stack Engineering team- Performance tuning of Queries, DB artifacts, Analytics coding modules
- Manage 4-5 junior Data-scientists, Data Engineers
- Team Management - Process Adherence, Code review, Ongoing Training & Learning
- Documentation - User Guide
**Skills**:
- Bachelor’s/Master’s degree in business / statistics / mathematics with proven track record
ofexceptional performance (discipline is flexible but enthusiasm and attitude for analytics
- is not)- 4-6 years of professional experience preferably in analytics or similar profiles
- Good understanding of RDBMS (Postgres & TimescaleDB), Microsoft Excel and
experience with SQL- Hands-on experience with tools like Python, Spark, Scala, H2O, RapidMiner, TensorFlow,
Keras, pytorch- Working knowledge of multivariate time series data
- Working experience with Linux systems, Servers, Load balancers
- Docker, Jenkins, Git, Kafka
- Tableau, PowerBI, MS Excel
- Expertise in MLOps
- Data visualization and presentation skills
- Strong analytical and technical capabilities and aptitude
- Highly detail oriented, strong commitment to timely execution of tasks and capability to
work on multiple projects in parallel- Expertise in Optimization Algorithms, NLP and Reinforcement Learning
- Knowledge of Agile methodology
Role:
Software Development - Other
- Salary:
Not Disclosed by Recruiter
- Industry:
Software Product
- Functional Area:
Engineering - Software & QA
- Role Category:
Software Development
- Employment Type:
Full Time, Permanent
- Key Skills
Data Science
Data Quality
Artificial Intelligence
Requirement Gathering
Data Extraction
Business Development
Data Cleaning
Machine Learning
Statistics
Requirement Analysis
- Education
- UG:
Any Graduate
Company Profile
- ACME SERVICES PRIVATE LIMITED
- We are hiring
- Company Info
Contact Company:
ACME SERVICES PRIVATE LIMITED
Manager, Data Science

Posted 10 days ago
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**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 Trainer
Posted 1 day ago
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Responsibilities:
● Conducting classroom and online lectures on programming languages (Data Science, Python,
Data Analytics) and related technologies to students
● Assigning and evaluating coursework, quizzes, and projects
● Providing one-on-one assistance and mentoring to students as required
● Ensuring that the course curriculum is up-to-date and relevant to industry standards
● Collaborating with other trainers and course developers to develop new training materials
● Maintaining accurate student records and progress reports
● Creating a positive and engaging learning environment for students
● Participating in faculty meetings, staff development programs, and other professional
development activities as required
● Staying up-to-date with the latest trends and developments and related technologies
Requirements:
● A Bachelor's or Master's degree in Computer Science or a related field
● A minimum of 1 years of experience as a trainer
● Excellent communication and interpersonal skills
● Strong knowledge of Python, Machine Learning, Data Science, Data Analytics, Deep
Learning, NLP and related technologies
● Experience working with databases such as PostgreSQL and MySQL
● A passion for teaching and helping students achieve their career goals
● Ability to work independently as well as in a team environment
Data Science Expert
Posted today
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Share your resume at |
Role - Data Science Expert (Mentor & Trainer)
Skills- Python, SQL, Deep Learning & Neural Networks, NLP, GEN AI, Computer Vision, any Frameworks/Libraries and Cloud (AWS/Azure/GCP).
Data Science Intern
Posted today
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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
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Data Science Engineer
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Role & responsibilities
- Bachelors/Master's degree in Computer Science, Data Science, AI/ML, Statistics, or related field.
- Proven experience (3+ years) as a Data Scientist/ML Engineer.
- Strong proficiency in Python / R / SQL.
- Expertise in ML/AI frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
- Hands-on experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
- Familiarity with cloud-based ML platforms (AWS Sagemaker, GCP Vertex AI, Azure ML).
Data Science Engineer
Posted today
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Job Title: Data Science Expert (Mentor & Trainer)
Location: Onsite Mumbai, India
Employment Type: Full-Time
About the Role:
We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers. The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent.
Key Responsibilities:
- Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques.
- Train, mentor, and support junior data science engineers in coding, model development, and best practices.
- Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications.
- Translate complex business problems into actionable data science projects and deliver measurable results.
- Design and lead internal workshops, code reviews, and learning sessions to upskill the team.
- Collaborate with engineering and product teams to deploy models and insights into production environments.
- Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable.
Desired Skills & Qualifications:
- Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience.
- Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.
Technical Expertise Required:
- Strong proficiency in Python and SQL; R is a plus.
- Solid hands-on experience with Deep Learning and Neural Networks, particularly in Natural Language Processing (NLP), Generative AI, and Computer Vision.
- Familiarity with frameworks and libraries such as TensorFlow, Keras, PyTorch, OpenCV, SpaCy, NLTK, BERT, ELMo, etc.
- Experience developing Chatbots, OCR, and Face Recognition systems is preferred.
- Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
- Experience applying statistical and data mining techniques such as GLM, regression, clustering, random forests, boosting, decision trees, etc.
- Strong understanding of model validation, performance tuning, and deployment strategies.
Soft Skills:
- Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences.
- Demonstrated ability to mentor, train, and lead junior team members effectively.
- Strong analytical and problem-solving mindset with a detail-oriented approach.
What We Offer:
- Competitive salary and benefits
- A collaborative and intellectually stimulating environment
- Career growth and leadership development opportunities within a fast-paced team