9+ Predictive analytics Jobs in India
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JOB DETAILS:
* Job Title: Head of Engineering/Senior Product Manager
* Industry: Digital transformation excellence provider
* Salary: Best in Industry
* Experience: 12-20 years
* Location: Mumbai
Job Description
Role Overview
The VP / Head of Technology will lead company’s technology function across engineering, product development, cloud infrastructure, security, and AI-led initiatives. This role focuses on delivering scalable, high-quality technology solutions across company’s core verticals including eCommerce, Procurement & e-Sourcing, ERP integrations, Sustainability/ESG, and Business Services.
This leader will drive execution, ensure technical excellence, modernize platforms, and collaborate closely with business and delivery teams.
Roles and Responsibilities:
Technology Execution & Architecture Leadership
· Own and execute the technology roadmap aligned with business goals.
· Build and maintain scalable architecture supporting multiple verticals.
· Enforce engineering best practices, code quality, performance, and security.
· Lead platform modernization including microservices, cloud-native architecture, API-first systems, and integration frameworks.
Product & Engineering Delivery
· Manage multi-product engineering teams across eCommerce platforms, procurement systems, ERP integrations, analytics, and ESG solutions.
· Own the full SDLC — requirements, design, development, testing, deployment, support.
· Implement Agile, DevOps, CI/CD for faster releases and improved reliability.
· Oversee product/platform interoperability across all company systems.
Vertical-Specific Technology Leadership
Procurement Tech:
· Lead architecture and enhancements of procurement and indirect spend platforms.
· Ensure interoperability with SAP Ariba, Coupa, Oracle, MS Dynamics, etc.
eCommerce:
· Drive development of scalable B2B/B2C commerce platforms, headless commerce, marketplace integrations, and personalization capabilities.
Sustainability/ESG:
· Support development of GHG tracking, reporting systems, and sustainability analytics platforms.
Business Services:
· Enhance operational platforms with automation, workflow management, dashboards, and AI-driven efficiency tools.
Data, Cloud, Security & Infrastructure
· Own cloud infrastructure strategy (Azure/AWS/GCP).
· Ensure adherence to compliance standards (SOC2, ISO 27001, GDPR).
· Lead cybersecurity policies, monitoring, threat detection, and recovery planning.
· Drive observability, cost optimization, and system scalability.
AI, Automation & Innovation
· Integrate AI/ML, analytics, and automation into product platforms and service delivery.
· Build frameworks for workflow automation, supplier analytics, personalization, and operational efficiency.
· Lead R&D for emerging tech aligned to business needs.
Leadership & Team Management
· Lead and mentor engineering managers, architects, developers, QA, and DevOps.
· Drive a culture of ownership, innovation, continuous learning, and performance accountability.
· Build capability development frameworks and internal talent pipelines.
Stakeholder Collaboration
· Partner with Sales, Delivery, Product, and Business Teams to align technology outcomes with customer needs.
· Ensure transparent reporting on project status, risks, and technology KPIs.
· Manage vendor relationships, technology partnerships, and external consultants.
Education, Training, Skills, and Experience Requirements:
Experience & Background
· 16+ years in technology execution roles, including 5–7 years in senior leadership.
· Strong background in multi-product engineering for B2B platforms or enterprise systems.
· Proven delivery experience across: eCommerce, ERP integrations, procurement platforms, ESG solutions, and automation.
Technical Skills
· Expertise in cloud platforms (Azure/AWS/GCP), microservices architecture, API frameworks.
· Strong grasp of procurement tech, ERP integrations, eCommerce platforms, and enterprise-scale systems.
· Hands-on exposure to AI/ML, automation tools, data engineering, and analytics stacks.
· Strong understanding of security, compliance, scalability, performance engineering.
Leadership Competencies
· Execution-focused technology leadership.
· Strong communication and stakeholder management skills.
· Ability to lead distributed teams, manage complexity, and drive measurable outcomes.
· Innovation mindset with practical implementation capability.
Education
· Bachelor’s or Master’s in Computer Science/Engineering or equivalent.
· Additional leadership education (MBA or similar) is a plus, not mandatory.
Travel Requirements
· Occasional travel for client meetings, technology reviews, or global delivery coordination.
Must-Haves
· 10+ years of technology experience, with with at least 6 years leading large (50-100+) multi product engineering teams.
· Must have worked on B2B Platforms. Experience in Procurement Tech or Supply Chain
· Min. 10+ Years of Expertise in Cloud-Native Architecture, Expert-level design in Azure, AWS, or GCP using Microservices, Kubernetes (K8s), and Docker.
· Min. 8+ Years of Expertise in Modern Engineering Practices, Advanced DevOps, CI/CD pipelines, and automated testing frameworks (Selenium, Cypress, etc.).
· Hands-on leadership experience in Security & Compliance.
· Min. 3+ Years of Expertise in AI & Data Engineering, Practical implementation of LLMs, Predictive Analytics, or AI-driven automation
· Strong technology execution leadership, with ownership of end-to-end technology roadmaps aligned to business outcomes.
· Min. 6+ Years of Expertise in B2B eCommerce Logic Architecture of Headless Commerce, marketplace integrations, and complex B2B catalog management.
· Strong product management exposure
· Proven experience in leading end-to-end team operations
· Relevant experience in product-driven organizations or platforms
· Strong Subject Matter Expertise (SME)
Education: - Master degree.
**************
Joining time / Notice Period: Immediate - 45days.
Location: - Andheri,
5 days working (3 - 2 days’ work from office)
CC++What You'll Do
● Develop embedded system architecture that is efficient and scalable
● Develop multi-device system design, envision customer interaction, and corner cases to build issue-free design
● Develop firmware code for Interrupt driven system which interacts with Android and cloud
● Implement function safety, protection and security in the embedded system
● Implement predictive hardware failure features
Who You Are?
● Passionate individual who loves to work on embedded systems. a person who likes to drive things actively rather than waiting for tasks to get assigned.
● Strong programming capabilities
● Understanding of electronics and hardware
● Clear thought process, believe in simplifying rather than complicating
● Argue and fight over the opinions. Believe in delivering the best for the users
You Should Have
● 3+ year experience in embedded system design
● Mastery in C/C++ for embedded systems. Strong fundamentals of Microcontrollers and their common peripherals.
● Strong basics of C/C++, memory map, compiler functionality
● Done multiple projects during graduation/post-graduation. Participated and performed in tech competitions.
● Experience working with actuators like motors (DC/brushless), LED/LCD and HMI interfaces, speakers, sensors etc
● Experience working with motor control algorithms and PID controllers
- Proficiency with Linux OS and basic bash scripting
Data Science
Machine Learning (ML)
Deep LearningWork Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization
The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.
Key Expectations
- Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
- Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
- Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
- Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
- Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
- Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
- Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
- Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
- Partner with Engineering team to implement policies and scorecards.
- Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.
Competencies -
- Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
- Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
- Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
- Outstanding communication skills, both verbal and written
Data Science
PythonExperience in Pricing models will be definite plus
- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena
To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.
If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.
Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments
Requirements
- Previous experience as a data engineer with the above technologies
Data Science
R ProgrammingPython
MongoDB- Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
- Collaborating with data engineers & architects to implement and deploy scalable solutions
- Communicating results to diverse audiences with effective writing and visualizations
- Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
What you need to have:
- 2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
- Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
- Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
- Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
- Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
- Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
- DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics
Data SciencePython
Data AnalyticsData SciencePython
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