8,654 Predictive Analytics jobs in India

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

- Develop and implement AI models capable of accurate predictions.

- Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

- Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

- Expert in AI and machine learning model development

- Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Job Title: Data Scientist/Lead Data Scientist

Locations: Chennai | Hyderabad | Bangalore

NP : Immediate Joiner - 15 Days

Skills : Python, Data Science, ML Model building, GCP, Azure, AWS

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 6000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ ), recognized by analyst firms such as Forrester,

Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’

analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Curious about the role? What your typical day would look like?

As a Data Scientist/Senior/Lead Data Scientist, you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. You will lead and contribute to projects involving the development, deployment, and monitoring of ML/AI models in GCP environment across industries. The role demands a balanced mix of technical expertise, stakeholder management, and leadership.

Key Responsibilities

Lead and contribute to developing sophisticated machine learning models, predictive analytics, and

statistical analyses to solve complex business problems.

Demonstrate proficiency in programming languages such as Python, with the ability to write clean,

efficient, and maintainable code.

Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets,

and derive actionable insights that lead to impactful outcomes.

Take ownership of end-to-end model development—from problem definition and data exploration

to model training, validation, deployment, and monitoring—delivering scalable solutions in real-

world settings.

Work closely with clients to understand their business objectives, identify opportunities for

analytics-driven solutions, and communicate findings clearly and promptly.

Collaborate with cross-functional teams, including data engineers, software developers, and

business stakeholders, to integrate machine learning solutions into business processes, with an

emphasis on production-grade deployment.

Implement and scale AI/ML models on Google Cloud Platform using tools like Vertex AI

Workbench, Vertex AI Pipelines (Kubeflow), and BigQuery to accelerate development and

streamline production deployment.

Deploy, serve, and manage high-performance models using Vertex AI Endpoints, Cloud Run, and

Cloud Composer, ensuring resilience and observability via Vertex Model Monitoring, Cloud

Monitoring, and Logging.

What do we expect?

● 4–10 year’s experience in data science and ML model development

● A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution.

● Solid understanding of regression, classification, and statistical methods

● Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using

TensorBoard)

● Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud

Composer (Apache Airflow)

● Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD

pipelines (GitHub Actions, Cloud Build)

● Experience with monitoring and maintaining ML models in production, using Vertex AI Model

Monitoring and related GCP tools

Good to Have

● Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and

Google Agent Development Kit (ADK)

● Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such

as Discovery Engine SDK, Reasoning Engine SDK, and GKE

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Job Role : Data Scientist

Experience : 8 to 15 Years

Location : Bengaluru, Hyderabad, Chennai, Mumbai

Must Have :

• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Deep Learning : CNN, RNN, LSTMs, GAN, VAEs etc.,
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.Js., Tableau that help to visually encode data
• Preferred Experience with machine learning and GenAI algorithms such as large language models
• Prior experience working with Python or other programming languages.
• 1+ years of experience with cloud native engineering, AWS, Azure, Google

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The team

As a member of the Operations Transformations team you will embark on an exciting and fulfilling journey with a group of intelligent and innovative globally aware individuals.

We work in conjuncture with various institutions solving key business problems across a broad-spectrum roles and functions, all set against the backdrop of constant industry change.

Your work profile

Job Title : Data Scientist

Location: Mumbai

Total Experience : Minimum 5 years

Required Skills:

1. B Tech/B.E. in Computer Science with Data Analytics/ AI, M.Sc. Data science
2. Minimum experience of 5 Years in handling data science related projects
3. Experience in using data science tools to simplify data wrangling, statistical modeling, and visualization tasks Technical experience in various aspects of data science - a creative problem solver with a strong skill in design and problem formulation;
   data curation;
   data acquisition, cleaning, and management;
   data interpretation, analysis;
   and the presentation and communication of results in an engaging and reproducible manner. Technical knowledge of one or more domains of development data such as economic statistics, demographic data, gender and social statistics, or other topics would be an advantage
4. Technical knowledge of one or more distinct data sources and associated methods such as household surveys, administrative systems, geographic information systems, satellite imagery and other sensor data, “big data”, would be an advantage.
5. Excellent working knowledge of modern statistics, scripting, and programming languages such as R/python/SPSS/power BI and SAS VIYA and associated software libraries is a must. They must have written and verbal communication skills

How you’ll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report .

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone’s welcome… entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.

Interview tips

We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Optiply is at the forefront of three rapidly expanding sectors: Software as a Service, Artificial Intelligence, and E-commerce. With our intelligent purchasing software, we empower over 300 web shops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management. We're not just building a product;
we're building the future of autonomous inventory management.

At Optiply, we run millions of demand forecasts every day to optimize the global e-commerce supply chain. As our Time Series Forecasting Engineer, you won't just be building models;
you'll be engineering the core intelligence of a system that operates at a massive scale. You will be responsible for the performance, accuracy, and scalability of the algorithms that form the backbone of our product. This is a unique opportunity to make a significant impact in a high-volume, production environment, working across both Python and R to solve complex forecasting challenges.

• Architect, enhance, and maintain our forecasting systems, working across both our Python and R codebases to deliver robust, scalable solutions.
• Take ownership of improving the accuracy and performance of models that are already running on millions of time series daily.
• Research, prototype, and implement next-generation forecasting algorithms (from statistical methods to ML/deep learning) capable of performing on large-scale datasets.
• Enhance and refactor our existing forecasting models in R while leading the development of new
• Develop and own the MLOps pipelines for our forecasting models, including automated training, deployment, A/B testing, and monitoring for performance at scale.
• Collaborate with Backend Engineers and Data Scientists to ensure our forecasting engine is seamlessly and efficiently integrated into our product.

• You have 3–6 years of professional experience building and deploying machine learning models in a high-volume production environment, with a strong focus on time series forecasting.
• Proven expertise in both Python and/or R for production-level data science. You are an expert in at least one, with professional, hands-on experience in the other.
• Python: pandas, scikit-learn, LightGBM/XGBoost, etc.
• R: dplyr, data.Table, forecast/fable, tidymodels, etc.
• Demonstrated experience working with large-scale data and building high-performance, production-grade ML systems.
• Deep theoretical and practical understanding of time series analysis, from classical statistical models (ARIMA, ETS) to modern machine learning techniques.
• Hands-on experience with software engineering best practices and tools, including Git, Docker, and CI/CD pipelines.
• Strong experience with SQL for complex data extraction and analysis.
• You are a pragmatic problem-solver, driven by the challenge of optimizing a complex system and delivering measurable business impact.

• Experience with probabilistic forecasting and inventory optimization techniques.
• Exposure to cloud platforms (GCP, AWS, or Azure) and MLOps tools (e.G., MLflow, Kubeflow).
• Experience with large-scale data processing tools (e.G., Spark, Dask).
• Prior experience in a SaaS, e-commerce, or supply chain tech company.

• Competitive Compensation Package: Reflects your skills and contributions.
• Holistic Work-Life Harmony: We value your personal time and promote a healthy work-life balance.
• Comprehensive Health Coverage: Robust insurance plans for your peace of mind.
• Investment in Professional Growth: We invest in your development with paid training programs.
• Adaptable Work Hours: We offer flexibility in your work schedule.
• Hybrid Work Model: Enjoy a blend of remote and in-office work.
• Strategic Career Development: We provide personalized growth plans and advancement opportunities.
• Tailored Workspace Setup: Get a high-quality PC, monitor, keyboard, and other essentials.
• Social Fridays: Wind down the week with casual drinks and foster team camaraderie.

• Then send us your CV in English and get prepared to meet our team! We are excited to see how you can help us scale the future of inventory optimization.

Data Scientist / Analyst

Location: Chennai, India

Experience: 12+ years

Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in helping transform maritime operations through intelligent digital twin platforms that drive real-time insights and sustainable innovation.

Your Role

We are seeking a data-driven and analytical Data Scientist / Analyst to join our Digital Twin of Ships team. This role is ideal for someone with strong modeling and analytical skills, capable of interpreting complex vessel behavior, assessing fleet health, and supporting sustainability initiatives through data. You will work closely with engineering and product teams to derive actionable insights from large-scale maritime datasets.

Key Responsibilities

• Model vessel behavior using historical and real-time data to support predictive analytics.
• Analyze fleet health metrics to identify patterns, anomalies, and maintenance needs.
• Develop and track sustainability metrics aligned with organizational goals.
• Apply machine learning techniques for predictive maintenance and anomaly detection.
• Collaborate with cross-functional teams to integrate data insights into product features.
• Use AWS services such as SageMaker and Athena for scalable data processing and analysis.
• Communicate findings through dashboards, reports, and presentations to stakeholders.

Your Profile

• Strong engineering background with 10–12 years of experience in data science or analytics roles.
• Proven experience in Digital Twin technologies , preferably in maritime or industrial domains.

Proficiency in programming and data analysis tools:

• Python
• R
• SQL
• Experience with machine learning techniques:
• Predictive maintenance
• Anomaly detection

Hands-on experience with AWS services:

• SageMaker
• Athena
• Familiarity with sustainability metrics modeling and environmental data analysis.
• Strong problem-solving and communication skills.
• Ability to work collaboratively in agile teams and present insights to technical and non-technical audiences.

What We Offer

• Opportunity to work on innovative digital twin solutions in a high-impact domain.
• Collaborative and forward-thinking work culture.
• Hybrid work model with flexibility.
• Career growth and leadership opportunities in data science.

What You’ll Love About Working Here

We value flexibility and support our employees with hybrid work options and adaptable schedules to maintain a healthy work-life balance.

Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.

You’ll have access to continuous learning opportunities and leadership pathways in backend engineering and digital twin technologies.

About Us

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Description

Job Title: Data Scientist – Predictive Forecasting

Location: Bangalore

Reporting to: Senior Manager Analytics

1) Purpose of the role

We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.

2) Key tasks & accountabilities

• Develop and Implement Models:
• Design and implement and Maintain time series forecasting models to predict key business metrics.
• Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
• Data Analysis and Insight Generation:
• Analyze large and complex datasets to identify trends, patterns, and anomalies.
• Generate actionable insights that inform business strategies and operational improvements.
• Collaborate with Cross-Functional Teams:
• Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
• Communicate Findings:
• Present analysis results and insights to stakeholders in a clear and concise manner.
• Prepare reports, visualizations, and dashboards to communicate data findings.
• Continuous Improvement:
• Monitor model performance and implement enhancements as necessary.
• Stay updated with the latest developments in data science, machine learning, and time series forecasting.

3) Qualifications, Experience, Skills

Level of educational attainment required.

Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field.

Previous work experience

• Minimum of 2 years of experience in data science or a related role.
• Proven experience with time series analysis and forecasting techniques is a plus

Technical Skills required

• Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
• MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage)
• Experience with machine learning frameworks (e.G., scikit-learn, TensorFlow is a plus).
• Familiarity with data visualization tools (e.G., Power BI, matplotlib, plotly, streamlet).
• Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
• Insights presentation - PowerPoint
• Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests & Code Reviews

Other Skills required

• Excellent problem-solving and analytical skills.
• Strong communication and presentation abilities.
• Ability to work collaboratively in a team environment.

And above all of this, an undying love for beer!

We dream big to create future with more cheers.

Experience- 6- 9 Years

Job Summary:

We are seeking a highly skilled and motivated Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our growing analytics team. The ideal candidate will have experience developing and deploying data-driven solutions to complex business problems using advanced statistical, ML, and AI techniques.

You will work closely with cross-functional teams to uncover insights, design predictive models, and integrate intelligent systems into business operations.