541 Data Scientist jobs in Mumbai

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations 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

The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers & designers, data scientists and product managers.

Key Responsibilities:

1. NLP Model Development : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.

2. Data Preprocessing and Feature Engineering : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.

3. Model Evaluation and Validation : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.

4. NLP Integration : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.

5. Research and Innovation : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.

6. Data Analysis and Visualization : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.

7. Documentation and Reporting : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.

Qualifications:

•Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

•Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.

•Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.

•Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.

•Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.

•Experience with containerization and orchestration technologies such as Docker and Kubernetes.

•Basic understanding of system design and ML-Ops practices.

•Excellent problem-solving skills and analytical thinking.

•Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

•Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Preferred Qualifications:

•Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).

•Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.

•Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

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.

Vertical : Credit analytics and innovation

Job Purpose

Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.

Job Responsibilities(JR) : 6 – 8 Areas

Actionable (4-6)

· Scorecard Building and Modelling

· Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers

· Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations 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

The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers & designers, data scientists and product managers.

Key Responsibilities:

1. NLP Model Development: Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.

2. Data Preprocessing and Feature Engineering: Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.

3. Model Evaluation and Validation: Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.

4. NLP Integration: Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.

5. Research and Innovation: Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.

6. Data Analysis and Visualization: Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.

7. Documentation and Reporting: Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.

Qualifications:

•Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

•Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.

•Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.

•Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.

•Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.

•Experience with containerization and orchestration technologies such as Docker and Kubernetes.

•Basic understanding of system design and ML-Ops practices.

•Excellent problem-solving skills and analytical thinking.

•Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

•Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Preferred Qualifications:

•Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).

•Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.

•Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

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.

ABOUT LITTLE PLACE LABS Little Place Labs is reimagining how satellites process and deliver intelligence from orbit. We specialize in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs. Our vision is to turn satellites into autonomous, intelligent systems that don’t just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.Based across the US, Europe, and India, our team works on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations. Our rapidly growing team of mission-driven, space enthusiasts is passionate, innovative, and committed to a better future for planet Earth, the little place that we all call home.POSITION SUMMARY For candidates based in India only.As the Data Scientist and reporting to the Head of Data Science, you will be a part of the India development team of the LPL’s space data analytics product Orbitfy, explore different use cases for the technology, and work closely with the CTO to strategize the product and the company's roadmap for the next 3-4 years.Little Place Lab's data science team is the heart and the brain of our product development, offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions.We’re looking for someone who is hands-on, embraces AI tools in day-to-day workflows, and leverages them to boost productivity and accelerate results. You will work closely with engineering, product, and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing.This is a remote-first role, requiring excellent communication skills to coordinate with global teams and external partners. Some travel within India or internationally may be required.RESPONSIBILITIESAI-Driven Development: Proactively use modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).Model Optimization: Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.Provide MLOps, orchestration, and workflow best practices.Cross-Functional Collaboration: Work with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy’s broader pipeline.Innovation & Research: Stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.Data Handling: Process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.Communication & Reporting: Clearly articulate technical concepts, results, and trade-offs to both technical and non-technical stakeholders in a distributed team.Quality & Validation: Ensure robustness, reliability, and reproducibility of solutions through systematic testing, benchmarking, and validation.Documentation and Reporting: Maintain detailed documentation of algorithms, models, and processes; prepare reports and presentations for technical and non-technical audiences.SUCCESS METRICSDelivery of LPL’s machine learning modules on schedule for satellite missions or user trials.Work on the deployment of LPL’s products for multiple satellite missions.Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.Effective collaboration and communication across distributed teams.Contributions that shape the product roadmap and strengthen Little Place Labs’ position in edge-based space intelligence.REQUIREMENTSEducation: Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or a related field.Experience: 3–8 years in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.Technical Skills: Strong in Python; experience with frameworks like Tensor Flow, Py Torch, Open CV. General Software engineering: cloud infrastructure, Docker, git best practices, etc. Exposure to C/C++, CUDA, ONNX, Tensor RT, Open VINO, or FPGA acceleration is a plus. Experience with architectures such as CNNs, Vi Ts, GANs and foundational models etc Experience with model compression is a plus.Domain Knowledge: Familiarity with satellite imagery and remote sensing preferred (but not mandatory if strong ML background).Good understanding of embedded systems from the perspective of deploying AI.Edge AI Focus: Experience or keen interest in deploying models in constrained environments (e.g., embedded systems, on-board devices).Experience or understanding of FPGAs is desirable, not mandatory.Experience working with NVIDIA Jetson and Xilinx Versal will be a big plus. Candidates with such experience will be preferred.Soft Skills: Ability to work independently in a remote-first setup. Excellent communication skills to bridge technical and product conversations across geographies. Curiosity, creativity, and a problem-solving mindset.EQUAL OPPORTUNITY EMPLOYMENT INFORMATIONIndividuals seeking employment at Little Place Labs are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

About the RoleWe are looking for an experienced Data Scientist with expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) to design, build, and deploy AI-driven solutions using the Azure ecosystem.ResponsibilitiesBuild end-to-end ML pipelines (data prep, training, validation, deployment).Apply LLMs & Gen AI for NLP, predictive modeling, and analytics.Develop recommendation engines, scoring systems, and predictive models.Run A/B tests and apply statistical methods to optimize performance.Integrate ML solutions into business systems in collaboration with cross-functional teams.Skills & Experience5+ years in ML/Data Science with strong Python skills.Hands-on with LLMs, Gen AI frameworks, and deep learning (Py Torch/Tensor Flow).Experience with Azure ML, Cognitive Services, and Databricks.Knowledge of MLOps/model management (Azure ML Service / MLflow).Strong background in statistical evaluation and large-scale data handling.