What Jobs are available for Senior Data Scientist in Mumbai?
Showing 155 Senior Data Scientist jobs in Mumbai
Junior Data Scientist - Big Data Analytics
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing for large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement basic machine learning models under supervision.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on ongoing projects.
- Assist in the evaluation and refinement of analytical models.
- Contribute to the documentation of data science processes and results.
- Participate in team meetings and learning sessions.
- Learn and apply new data science techniques and tools.
- Support ad-hoc data analysis requests from various departments.
This is a fully remote internship opportunity. Our client is located in Mumbai, Maharashtra, IN . We are seeking candidates who are pursuing or have recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Strong programming skills in Python or R are essential. Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn) and basic knowledge of machine learning concepts are required. Excellent analytical and communication skills are necessary for effective collaboration in a remote setting.
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Data Scientist
Posted 2 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
**Responsibilities**
+ Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
+ Participate in the development of gen AI solutions, AI Agent development and Elastic ML deliverables
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
**Who You Are**
**Requirements**
**MUST HAVE**
+ Graduate / Postgraduate in computer science or computer engineering or equivalent with 6-8 years of experience in the IT Industry.
+ Minimum 4 years of hands on experience Data Scientist Role or Similar role.
+ **Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.**
+ **Comfortable with Elastic ML deliverables and development of AI Agents**
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
+ Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
+ Should have done 2-3 projects in domain of expertise,
+ Should have strong good knowledge of Python, C/C++.
+ Be fluent in English (written and spoken).
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Scientist
Posted 2 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
**Responsibilities**
+ Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
**Who You Are**
**Requirements**
**MUST HAVE**
+ Graduate / Postgraduate in computer science or computer engineering or equivalent with 6-8 years of experience in the IT Industry.
+ Minimum 4 years of hands on experience Data Scientist Role or Similar role.
+ **Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.**
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
+ Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
+ Should have done 2-3 projects in domain of expertise,
+ Should have strong good knowledge of Python, C/C++.
+ Be fluent in English (written and spoken).
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Scientist
Posted 4 days ago
Job Viewed
Job Description
Mumbai
Job Description
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us:
You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship - work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment- employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
Overview of the job
Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
Your team
This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
How success looks like
+ Enabling savings every year on base budget as per the masterplan
+ Delivering touchless digital transformation masterplan and reapplying across the globe.
+ Responsibilities of the role
+ Provides technical leadership in supporting OU innovation projects.
+ Acts as a key enabler in leading and delivering results against challenges.
+ Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
+ Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
+ Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
+ Work with process/equipment authorities and application developers to identify data relevant for analysis.
+ Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
+ Develop and maintain key data pipelines across selected sites globally
+ Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
+ Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
+ Identify, diagnose, and resolve prognostics model performance issue.
+ Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
Job Qualifications
+ Bachelor's in engineering/computer Sci
+ Experience with Machine Learning Techniques
+ Strong communication skills
+ Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
+ Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
+ Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
+ Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
+ Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
+ Experience in advance analytics, big data, machine learning.
+ Experience in designing visualization to improve user experience and effective decision making
+ Innovation Approach - Ability to assess business operations and find opportunities, then drive case
+ Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
+ Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
+ IT Security & Risk - In touch with modern IT security risks and principles.
+ Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
+ Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit to know more.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application."
Job Schedule
Full time
Job Number
R
Job Segmentation
Entry Level
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Data Scientist
Posted 13 days ago
Job Viewed
Job Description
Job Responsibilities:
- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
- Collating and cleaning data from various entities for later use by junior data scientists.
- Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
- Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
- Selecting and employing advanced statistical procedures to obtain actionable insights.
- Cross-validating models to ensure their generalizability.
- Producing and disseminating non-technical reports that detail the successes and limitations of each project.
- Suggesting ways in which insights obtained might be used to inform business strategies.
- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
Skills And Qualifications:
- Strong communication skills with the ability to confidently work with cross-functional teams across the globe and to present information to all levels of the organization.
- Excellent problem solving and analytical skills - ability to develop hypotheses, understand and interpret data within the context of the product/business - solve problems and distill data into actionable recommendations. Intellectual and analytical curiosity - an initiative to dig into the why what & how.
- Strong number crunching and quantitative skills. Basic proficiency on ML techniques - clustering, decision tree learning, naïve Bayes, support vector machines, Q-learning, the temporal difference, adversarial networks, and neural networks would be a plus
- Advanced knowledge of MS Excel and PowerPoint. Good hands-on experience in SQL. Experience in Text Analytics, Natural Language Processing
- Experience within Google Analytics, Optimize, Tag Manager, and other Google Suite tools. Experience in Python/R or any equivalent tools is mandatory.
- Understanding of Business analytics tools & statistical programming languages. An advanced degree in Data Science/Data Analytics or Math/Statistics would be preferred.
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Data Scientist
Posted 13 days ago
Job Viewed
Job Description
Location: Mumbai, Maharashtra Company: Weaver
At Weaver, we are redefining affordable housing finance in India. Launched in 2025, we are not patching legacy systems; we are building the future from a clean slate. Backed by over $170M from leading investors like Lightspeed and Premji Invest, we have acquired two profitable NBFCs to solve the cold-start problem, giving us an established business and the capital to build the right way. Our mission is to leverage technology and data to make homeownership fast, transparent, and accessible for families in Tier-2 and Tier-3 cities.
This is a rare chance to join the foundational team and build the core intelligence of a modern financial institution from scratch. As a Data Scientist, you will be a key contributor to building India's first AI-native housing finance platform. You will have an outsized influence on our most critical intellectual property: the AI models that power our credit decisioning, risk management, and operational efficiency. We are looking for a first-principles thinker who is excited to solve some of the most challenging and impactful problems in fintech today.
- Design, build, and deploy proprietary machine learning models for our core business functions, including:
- Credit Risk & Underwriting: Develop sophisticated models to accurately assess the creditworthiness of the informal and self-employed segments, leveraging alternative data and cash flow analysis from the Account Aggregator network.
- Proactive Collections: Build an Early Warning System (EWS) and bounce prediction models to identify at-risk accounts and mitigate credit losses.
- Fraud Detection: Use advanced techniques, including graph analytics, to identify and prevent sophisticated fraud rings.
- Sales Enablement: Create lead scoring and "next-best-action" models to improve the productivity of our field agents.
- Collaborate within a cross-functional "Pod" alongside developers, product managers, and business experts to translate business problems into data science solutions.
- Own the entire model lifecycle within our MLOps platform, from feature engineering and experimentation to deployment, monitoring for drift, and retraining.
- Work with a unique dataset , fusing traditional financial data with alternative data and proprietary information captured from our field operations.
- 2-6 years of professional experience as a Data Scientist, Machine Learning Engineer, or in a related role.
- Proven experience in building and deploying machine learning models in a production environment.
- Strong programming skills in Python and expertise with ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch).
- Hands-on experience with the AWS AI/ML stack , particularly Amazon SageMaker (Studio, Pipelines, Model Registry).
- Solid understanding of MLOps principles and experience with tools for model versioning, deployment, and monitoring.
- An "AI-native mindset" and a passion for leveraging the latest advancements in AI to solve real-world problems.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Our stack is modern, AI-native, and built for scale on a clean slate.
- Languages & Frameworks: Python, React/React Native, LangGraph (for AI Agents).
- Cloud & Infrastructure (AWS): Fully AWS-native, leveraging services like S3, Lambda, SageMaker, Bedrock, and Lake Formation.
- Architecture & Principles: API-first, Event-Driven Automation, Data Mesh, Medallion Architecture.
- Data & AI/ML: Apache Hudi on S3, Real-Time Feature Store, Graph Analytics, and Explainable AI frameworks like SHAP/LIME.
- Greenfield Work: Design modern AI systems from scratch, free from legacy constraints.
- Outsized Impact: As part of a small, foundational team, your work will directly shape our core intellectual property and competitive advantage.
- Modern Tools: Get access to the best tools to do your job effectively, including GitHub Copilot, Claude CLI, and a modern AWS stack.
- Strong Foundation: Join a company with a proven business model, significant capital, and patient investors, allowing us to focus on building for the long term.
- Profit with Purpose: Help families in smaller cities achieve homeownership while building a scalable, profitable business.
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Data Scientist
Posted 13 days ago
Job Viewed
Job Description
Data Scientist (Video & Image Generation) - 3+ Years, immediate joiner, location agnostic
Required / Must-Have
- Strong background in Machine Learning, Deep Learning, and Computer Vision
- Hands-on experience with Generative AI models (diffusion, transformer, or latent video models)
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience designing and optimizing video and image generation pipelines
- Familiarity with Azure Machine Learning and cloud-based training/inference workflows
- Experience with GPU-based training, distributed computing, and model deployment
- Knowledge of multimodal data handling (text, image, video, audio)
- Experience working with models like Sora, Veo, or Gemini (or similar multimodal systems)
- Understanding of prompt engineering, fine-tuning, and LoRA/adapters for model adaptation
- Proficiency with tools like Docker, Kubernetes, Databricks, MLflow, and Git
- Strong analytical, problem-solving, and collaboration skills
Nice-to-Have
- Familiarity with Java, React, and Spring Boot for integrating AI capabilities into production tools
- Knowledge of model evaluation metrics for visual and temporal quality (e.g., FVD, SSIM, CLIPScore)
- Experience with OpenCV and FFmpeg for video preprocessing and postprocessing
- Awareness of recent research in video diffusion, temporal consistency, and multimodal generation
- Prior contributions to open-source AI projects or published research
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Data Scientist
Posted 13 days ago
Job Viewed
Job Description
Role - Data Scientist
Location - Mumbai
Experience - 5+ Years
Essential Skills
- 3-5 years of professional experience in data engineering or a similar role.
- Hands-on experience with Google Cloud Platform (GCP) services (BigQuery, Cloud Run, Scheduler).
- Proficiency in SQL for data manipulation and analysis.
- Experience with dbt.
- Familiarity with infrastructure-as-code principles.
- Strong programming skills in Python.
- Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
- Experience with version control systems (e.g., Git).
- Excellent problem-solving skills, attention to detail, and a proactive attitude.
- Ability to work independently and as part of a team in a fast-paced environment.
Preferred Additional Skills:
- Terraform
- API Development
- Knowledge of streaming data processing (Kafka, Pub/Sub).
- Familiarity with CI/CD pipelines.
- Relevant GCP certifications.
ABOUT VML
VML is a leading creative company that combines brand experience, customer experience, and commerce to create connected brands and drive growth. VML is celebrated for its innovative and award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Intel, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, which name WPP as a “Leader” in Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. As the world’s most advanced and largest creative company, VML’s global network is powered by 30,000 talented people across 60-plus markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.
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Data Scientist
Posted 13 days ago
Job Viewed
Job Description
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:
- B Tech/B.E. in Computer Science with Data Analytics/ AI, M.Sc. Data science
- Minimum experience of 5 Years in handling data science related projects
- 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
- 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.
- 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.
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Data Scientist
Posted 636 days ago
Job Viewed
Job Description
Title:- Data Scientist
Budget:- 20 LPA
Experience:-6 years
Work Mode:- Onsite
Primary Skills:- Sql, Python, Data Modelling, Azure, AWS
Qualification:- Any
Roles & Responsibilities:-
1. Acquiring, cleaning, and preprocessing raw data for analysis.
2. Utilizing statistical methods and tools for analyzing and interpreting complex datasets.
3. Developing and implementing machine learning models for predictive analysis.
4. Creating visualizations to effectively communicate insights to both technical and non-technical stakeholders.
5. Collaborating with cross-functional teams, including data engineers, business analysts, and domain experts.
6. Evaluating and optimizing the performance of machine learning models for accuracy and efficiency.
7. Identifying patterns and trends within data to inform business decision-making.
8. Staying updated on the latest advancements in data science, machine learning, and relevant technologies.
Requirement:-
1. Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.
2. Must have a passion for data, structured or unstructured. 0.6 – 5 years of hands-on experience with Python and SQL is a must.
3. Should have sound experience in data mining, data analysis and machine learning techniques.
4. Excellent critical thinking, verbal and written communications skills.
5. Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
6. Good presentation skills.
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