444 Data Mining jobs in Mumbai
Data Mining Engineer
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Location: World Trade Center, Cuffe Parade, Mumbai
Working: 6 Days a week (2nd Saturday Off)
Immediate Joiner Prefered
Timings: Flexible
Industry: Chemical Manufacturing
Data Mining Engineer
Experience Required: 34 years minimum
Location: World Trade Center, Cuffe Parade, Mumbai
Role Summary:
We are seeking a Data Mining Engineer to analyze complex data sets and provide insights that support business decision-making. The candidate will work with multiple teams to extract valuable business intelligence from raw data.
Key Responsibilities:
- • Collect, clean, and organize large sets of structured and unstructured data.
- • Develop data mining models, algorithms, and scripts for predictive analysis.
- • Work with SQL, Python, R, and other analytics tools to process data efficiently.
- • Generate actionable reports for the management and sales team.
- • Apply statistical analysis and machine learning techniques to identify business opportunities.
- • Collaborate with marketing to track lead generation and sales performance.
- • Experience in handling manufacturing or chemical industry data preferred.
Qualifications & Skills:
- • Bachelors or Master's degree in Computer Science, Data Science, or related field.
- • Minimum 3–4 years of hands-on data mining and analytics experience.
- • Strong programming skills in Python, R, and SQL.
- • Excellent problem-solving and analytical skills.
Data Mining Engineer
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PLEAE READ JD CAREFULLY BEFORE APPLYING
LOCATION: COLABA
Company Description
SIDDHARTH CARBOCHEM PRODUCTS LIMITED is a chemicals company headquartered on the 6th Floor of the World Trade Centre, Colaba in Mumbai, Maharashtra, India. The company specializes in various chemical products and serves a diverse clientele. Our focus is on delivering high-quality products and exceptional customer service.
Data Analysis Expertise
- Statistical Analysis
: Proficiency in statistical tools like R-studio and Python. - Big Data Handling
: Experience with big data tools such as Spark, ElasticSearch/OpenSearch, and Kafka. - Machine Learning
: Knowledge of machine learning libraries like NumPy, SciPy, and MLlib. - Data Mining
:
Ability to perform data mining and text mining in multiple languages.
Technical Skills
- Scripting Languages
: Proficiency in scripting languages (e.g., R, bash, Python, Perl, Lua). - Visualization Tools
: Skilled in data visualization and presentation. - Managing and working within large data sets
Data Mining Analyst
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improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining & Research Specialist
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Our Story ISMG is a tech- enabled, global intelligence firm specializing in cybersecurity journalism, technology, and artificial intelligence.
We deliver a comprehensive portfolio of content, data analytics, training and market intelligence to support cybersecurity, operational technology (OT), fraud prevention, and risk management industries.
With 10+ brands, 38 digital media properties, and over 400 premier events annually—ISMG connects a network of over 2M executives, decision-makers, and innovators with the insights and opportunities they need to stay ahead.
The Opportunity ISMG is currently seeking a Data Mining & Research Specialist to join our team!
In this role, you will contribute to a variety of critical data projects, conducting thorough research on various aspects of the ISMG subscriber base.
By consistently updating data entry points, your work will ensure all relevant information is accurate and current.
Responsibilities Executing research projects, involving standardized and customized data sets, catering to ISMG's customer base and internal business needs. Contributing to the management of large data sets, ensuring accuracy, integrity, and timely delivery of projects. Collaborating with internal stakeholders to provide regular progress updates, proactively identifying challenges or potential roadblocks and addressing them promptly. Requirements & Preferred Experience Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred.
At least one year of professional experience in Market Research fields.
Advanced expertise in Excel with the ability to handle complex data analysis tasks.
Proficiency in Microsoft Word and PowerPoint, with a strong ability to learn and adapt to other data and marketing programs quickly.
Data manipulation and/or quantitative research experience is preferred. In lieu of experience, must have a strong desire to learn.
Experience with hierarchical databases and exposure to data software packages is preferred.
Knowledge of Power BI is a major advantage.
Exceptional communication, both written and verbal, along with strong presentation abilities.
Excellent time management and project management skills.
Additional Details: Location: on-site at our Mumbai office. Mandatory in-office presence required Monday-Friday during standard hours of operation. Powered by JazzHR
Data Science + Machine Learning- Python, SQl, DAta Mining
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MUST HAVE EXP IN HR ANALYTICS WITH EXCELLENT HANDS ON Data Science, Machine Learning, Data Understanding, Python, SQL
LOCATION- Bangalore
SALARY -16 TO 31 LPA DEPENDING ON LAST SALARY AND EXPERIENCE(30-40% HIKE ONLY)
Enterprise Miner – data mining co...
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• Ability to think abstractly and deal well with ambiguous/undefined problems.
• Ability to effectively articulate technical challenges and solutions.
• Experience taking a leading role in defining models for complex data lakes and making
• information useful at various levels, from operations to senior stakeholders.
Strong object-oriented design and coding skills.
Data Analytics
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About the Role:
We are looking for a talented
Software Engineer
specializing in
Data Analytics
using
AI/ML
solutions, with a focus on building scalable applications and intelligent chatbot systems using generative AI. The ideal candidate will have strong expertise in Java development, API creation, microservices architecture, Kubernetes (K8s), and PostgreSQL databases. This role offers the opportunity to work on cutting-edge technologies that drive actionable insights and automated interactions across business domains.
Required Skills:
- Experience in data analytics using AI/ML frameworks and implementing models for predictive analysis.
- Familiarity with generative AI technologies for chatbot development and conversational interfaces.
- Strong experience in Java development with expertise in building APIs and microservices.
- Hands-on experience with container orchestration using Kubernetes (K8s) and Docker.
- Working knowledge of PostgreSQL including schema design, stored procedures, indexing, and query tuning.
- Solid understanding of RESTful architecture, API versioning, and authentication protocols like OAuth.
- Experience with DevOps tools like Git, Jenkins, or Azure DevOps for CI/CD implementation. (Good to have)
- Good problem-solving skills, analytical thinking, and attention to detail.
- Excellent communication skills to collaborate with team members and stakeholders.
Good to have:
- General AI/ML Certifications
- Professional Machine Learning Engineer
- AI for Beginners
- Azure AI Engineer Associate
- Certified Machine Learning – Specialty
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Data Analytics, Data Analyst
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Job Title: Data Analyst
Location: Mumbai (Traveling involved)
Company: Della Townships Pvt. Ltd.
Department: Office of the COO
Reporting To: Chief Operating Officer (COO)
Role Purpose:
The Data Analyst will play a key role in supporting the COO by compiling, analyzing, and comparing data across various functions of Della Townships. The position requires a keen eye for detail, the ability to handle large datasets, and the skill to convert raw information into actionable insights to drive business decisions.
Key Responsibilities:
- Compile and organize data from multiple business units and project sites.
- Conduct data comparison and analysis to identify trends, variances, and improvement areas.
- Prepare accurate and timely reports, dashboards, and presentations for the COO.
- Ensure accuracy, reliability, and consistency of data across systems.
- Collaborate with cross-functional teams to gather, validate, and interpret data.
- Maintain and update centralized databases for project and operational tracking.
- Conduct ad-hoc analyses and provide insights for strategic and operational decision-making.
- Travel to project locations/offices as required to review and validate data.
Requirements:
- Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or related field.
- 2–5 years of experience as a Data Analyst or in a similar analytical role.
- Strong proficiency in MS Excel, SQL, and data visualization tools (Power BI, Tableau, etc.).
- Strong analytical thinking with attention to detail and accuracy.
- Excellent communication and presentation skills for senior management.
- Ability to work independently under strict timelines.
Preferred Skills:
- Experience in real estate, construction, or township projects.
- Knowledge of ERP/CRM systems and business intelligence tools.
- Familiarity with project management and reporting in the real estate sector.
Relevant Field
Minimum Job Experience:2-5 Years
Reporting to:COO
Travel:Travelling Required
Manager, Data & Analytics

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.**
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
**How you will contribute**
You will:
+ Work in close partnership with the business leadership team to execute the analytics agenda
+ Identify and incubate best-in-class external partners to drive delivery on strategic projects
+ Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
+ Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Using data analysis to make recommendations to senior leaders
+ Technical experience in roles in best-in-class analytics practices
+ Experience deploying new analytical approaches in a complex and highly matrixed organization
+ Savvy in usage of the analytics techniques to create business impacts
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It Possible**
As the Data & Analytics Manager for Consumer tower, you will be involved in driving the Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities to deliver strong business value across all levels of organization at right cost structure and lead the development of a cutting-edge solution that aims to bring BI and AI to the marketing space.
**How You Will Contribute**
You will:
+ Be responsible for analytics engagement with the Marketing function at MDLZ and support the Consumer D&A Lead in driving the D&A agenda and roadmap for the market by collaborating closely with senior business stakeholders to deliver strong business value across functions in the organization.
+ Consult, influence, and collaborate with business stakeholders to craft analytics methodologies and solutions relevant to their needs and use-cases - applying techno-functional expertise in data and AI as part of the solution-forming process.
+ Oversee the day-to-day technical development of the solution, creating strong alignment in the working team to achieve goals.
+ Collaborate across Business and MDS functions to build and develop demands by maximizing our resources of D&A across Data Management, Analytics Products and Data Science- this requires strong collaboration and influencing skills to drive adoption, relevancy, and business impact with speed.
+ Minimizing complexity, establishing right ways of working to accelerate path to value by being choiceful and creative as well as having a growth mindset everyday will be essential.
+ Validate the weekly progress of the technical teams and lead business user tests, ensuring product quality before the product gets into the hands of the internal customer.
**Creating value from** **business-driven** **data and analytics initiatives** **at scale** **.** An important task for the Data & Analytics Manager is to support the business and other stakeholders in their solving their business problems via relevant data & analytics. This means they will support the business during various stages. In the inspiration phase they help the business in identifying the right use cases and support prioritization based on feasibility and value. In the ideation phase they help with the development of a minimum viable product and business case. During the implementation phase they make sure the service or product is adopted (by the employees), embedded in the workflow (process) and measured for impact.
**Helps uncover and translate business requirements and** **stakeholder** **needs.** This translation needs to be done in such a way that the technical specialists in the D&A team can understand (Data Management, Analytics Products, Partners and / or Data Science resources). This requires an understanding of both the business objectives, goals, and domain expertise, as well as data, analytics and technology concepts, methods, and techniques. It also requires strong soft skills with a focus on communication.
The role will lead analytics delivery for Marketing initiatives & BI development (reports, dashboard, visualization) and/or data governance (stewardship best practices).
**Data & analytics skills**
Must have a good understanding of the concepts, methods and techniques used:
+ **Analytics** , for example diagnostic, descriptive, predictive and prescriptive.
+ **AI** , for examplemachine learning, natural language processing.
+ **Data management,** for example data integration (ETL) or metadata.
+ **Data architecture** , for example the difference between data warehouse, data lake or data hub.
+ **Data modelling** , for creation of right reusable data assets.
+ **Data governance** , for example MDM, data quality and data stewardship practices.
+ **Statistical skills** , for example understanding the difference between correlation and causation.
**Technology skills**
Good understanding of the tools and technologies in the D&A team:
+ **Programming languages** like SQL, Python or R and notebooks like R Studio or Jupyter.
+ **Data integration tools** like Informatica or Talend.
+ **Analytics and Business Intelligence tools** like Microsoft Power BI or Tableau.
**S** **oft skills**
+ **Leadership** **with** **high level** **of self-initiative and drive** , for example leading the discussions on D&A agenda in the BU and building a combined vision across multiple stakeholders.
+ **Communication** , for example conveying information to diverse audiences in a way that is easily understood and actionable.
+ **Facilitation and conflict resolution** , for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.
+ **Creative thinking and being comfortable with unknown or** **unchartered** **territories** , for example framing new concepts for business teams and brainstorming with business users about future product and services.
+ **Teamwork** , for example working with both business domain teams as well as D&A teams and MDS stakeholders.
+ **Collaboration** ,for example fostering group problem solving and solution creation with business and technical team members.
+ **Relationship management** , for example creating relationships and builds trust with internal and external stakeholders quickly.
+ **Storytelling** , for example by creating a consistent, clear storyline for better understanding.
+ **Influencing** , for example by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors.
**Domain skills**
Must have a good understanding of the business process and associated data:
+ **Business Acumen** , for example understanding business concepts, practices and business domain language to engage in problem solving sessions and discuss business issues in stakeholder language. Relevant experience in Data and Analytics CPG or FMCG is preferred.
+ **Business Process Transformation** , for example ability to understand how D&A can help redesign the way work is done.
+ **Business data,** Nielsen/Circanaor other EPOS/Retail Sales data source; Kantar/GFK or other household panel source.
**Other skills**
+ **Agility,** **G** **rowth mindset** **will be crucial.**
+ **Project management capabilities including ability to manage risks** , for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities.
+ **Vendor negotiation and effort estimation skills,** for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported.
+ **Business case development** , for example to help develop support for the experimenting selected use cases or measure the impact/business value created. For this the role can collaborate with business analysts in sales, marketing, RGM, finance or supply chain.
+ **Decision modelling** , for example, supports decision makers and improves complicated decisions that involve trade-offs among alternative courses of action by using decision-problem models.
+ **UX/d** **esign** , for example by creating products and visualizations that are easy to work with and support the activities required by the endusers.
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
Analytics & Modelling
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 Analytics Lead
Posted 1 day ago
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Position : Practice Lead - Data & Analytics
Location: Mahape Mumbai
Employment Type: Full-Time
Experience Level: Senior (8-10 years)
Job Summary
As the Practice Lead Data & Analytics, you will lead the development, implementation, and growth of data strategy and analytics solutions across client engagements. This is a strategic leadership role requiring a mix of technical expertise, people management, solution development, client engagements, innovation initiatives, and Leadership
Key Responsibilities
- Develop and execute the strategic roadmap for the Data & Analytics and AI/ML practice
- Lead data consulting and delivery engagements, including data platform implementations, BI/reporting solutions, and advanced analytics (Predictive analytics, NLP, computer vision, generative AI)
- Build and manage a high-performing team of data engineers, analysts, architects, and data scientists
- Guide clients through data modernization, cloud migration, governance, and analytics initiatives
- Define delivery methodologies, standards, frameworks, and best practices
- Collaborate with sales/pre-sales teams to craft winning proposals and provide solution architecture support
- Stay updated on the latest trends in big data, AI/ML, cloud analytics, and data governance
- Establish partnerships with technology vendors (e.g., Microsoft, AWS, Snowflake, Databricks)
- Lead capability building, mentoring, and internal knowledge development within the practice
Required Qualifications
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field
- 8+ years of experience in data and analytics, with at least 3 years in a leadership role
- Proven track record of managing large-scale data projects, teams, and client relationships
- Expertise in data warehousing, ETL, big data platforms, cloud analytics (AWS, Azure, or GCP), and modern BI tools (Power BI, Tableau, etc.)
- Strong understanding of data governance, data quality, metadata management, and compliance
- Hands-on experience with Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.)
- Experience with MLOps, model lifecycle management, and cloud-based ML platforms
- Proven track record of leading AI projects from ideation to production deployment
- Excellent communication, stakeholder engagement, and team-building skills
Preferred Skills
- Experience in data science or machine learning (Python, R, ML pipelines)
- Hands-on knowledge of modern data platforms (Snowflake, Databricks, Synapse, BigQuery, etc.) and Generative AI (LLMs, diffusion models, prompt engineering)
- Familiarity with industry-specific data models (e.g., healthcare, BFSI, retail) and ethical AI principles, fairness, and explainability (XAI)
- Certifications in Azure Data, AWS Big Data, Google Cloud Professional Data Engineer, etc. including AI/ML tracks
- Experience working in consulting, R&D, or product-focused AI environments
- Publications, patents, or participation in open-source AI/ML projects