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data scientist (gen ai llm) Jobs in Mumbai

data scientist (gen ai llm)

data scientist- python- ai/ml gen ai- across india Jobs in Mumbai

senior data scientist

<div>
 
 T
 
 Job description
 
 
 
 We are seeking a highly skilled
 
 Data Scientist
 
 with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges.
 
 
 
 
 
 
 Job Title:
 
 Data Scientist (Generative AI LLMs)
 
 
 
 Location:
 
 Bengaluru, Gurugram, Mumbai, Coimbatore
 
 
 
 
 <ul>
 <li>
 4+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models.
 </li>
 <li>
 Experience With generative models such as GANS (Generative Adversarial Networks),
 </li>
 <li>
 VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
 </li>
 <li>
 Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
 </li>
 <li>
 Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
 </li>
 <li>
 Strong programming skills in python and familiarity With relevant libraries and frameworks.
 </li>
 <li>
 Proven experience in document detail extraction and feature engineering.
 </li>
 <li>
 Proficiency in data processing and manipulation techniques.
 </li>
 <li>
 Hands-on experience in building data applications using Streamlit or similar tools.
 </li>
 <li>
 Advanced knowledge in prompt engineering, chain of thought processes, and Al agents.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work effectively in a collaborative environment.
 </li>
 <li>
 Strong communication skills to convey complex technical concepts to non-technical stakeholders.
 </li>
 </ul>
 
 
</div>

Data Scientist (Gen AI LLM)

KPMG India

<div>
 
 Job Description
 
 
 
 
 About KPMG in India
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 Role Summary
 
 
 We are seeking an accomplished Senior Data Scientist with proven expertise in Machine Learning, Deep Learning, and Natural Language Processing to build advanced AI-led solutions for the mutual fund and asset management (AMC) sector. The role involves high-impact initiatives including fund performance modeling, investor segmentation, portfolio optimization, document intelligence, and risk analytics.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy production-grade ML/DL/NLP models for business-critical use cases.
 </li>
 <li>
 Build end-to-end ML pipelines with automated data ingestion, feature engineering, training, validation, and inference.
 </li>
 <li>
 Develop and fine-tune NLP solutions including sentiment analysis, document classification, entity extraction, and text summarization.
 </li>
 <li>
 Perform exploratory data analysis (EDA) on financial datasets to uncover trends and insights.
 </li>
 <li>
 Build dashboards and analytical frameworks using Power BI, Tableau, or Python-based tools.
 </li>
 <li>
 Collaborate with investment, risk, and product teams to translate business needs into AI/ML solutions.
 </li>
 <li>
 Mentor junior data scientists and lead cross-functional data initiatives.
 </li>
 <li>
 Ensure compliance with model governance, explainability, and regulatory frameworks relevant to the mutual fund industry.
 
 
 
 </li>
 </ul>
 
 
 
 Equal employment opportunity information
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Statistics, Mathematics, or related field (mandatory)
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 <li>
 Master&rsquo;s degree in data science, Machine Learning, or related areas (preferred)
 </li>
 <li>
 Certifications preferred: TensorFlow/PyTorch, CFA Level I, NISM
 </li>
 </ul>
</div>

Assistant Manager - Capital Markets

Capgemini Engineering

<div>
 
 &bull; Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques.
 
 
 &bull; Technically lead a team of data scientists to produce project deliverables on time and with high quality.
 
 
 &bull; Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods.
 
 
 &bull; Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques.
 
 
 &bull; Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy.
 
 
 &bull; Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders.
 
 
 &bull; Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders.
 
 
 &bull; Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques.
 
 
 &bull; Strong programming skills in Python.
 
 
 &bull; Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders.
 
 
 
 
 
 
 
 
 Primary Skills :
 
 
 - Excellent understanding and hand-on experience of data-science and machine learning techniques &amp; algorithms for supervised &amp; unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference &amp; testing, etc.
 
 
 - Excellent understanding and hand-on experience on building Deep-learning models for text &amp; image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
 
 
 - Proficient in coding in common data science language &amp; tools such as R, Python.
 
 
 - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
 
 
 - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.
 
 
 - Exposure or knowledge in cloud (Azure/AWS).
 
 
 - Experience on deployment of model in production.
 
</div>

Data scientist- Python- AI/ML GEN AI- Across india

Reliance Industries Limited

<div>
 
 Interested candidates, kindly mail to
 
 
 enpcareers.hr@ril.com
 
 
 
 
 
 
 
 
 Summary of Role:
 
 
 <ul>
 <li>
 Lead innovation in the CLEAN ENERGY vertical by defining how data science and analytics create measurable business value across operations and decision-making.
 </li>
 <li>
 Oversee the data science team, ensuring alignment with business strategy and delivery of high-impact analytics use cases.
 </li>
 <li>
 Partner with business leaders and functional heads to identify key risks, optimization opportunities, and data-driven interventions.
 </li>
 <li>
 Design, develop, and deploy advanced analytics, machine learning, and predictive models using structured and unstructured data from subsurface, drilling, operational, and monitoring systems.
 </li>
 <li>
 Lead the development and utilization of big data platforms to support CLEAN ENERGY analytics at scale.
 </li>
 </ul>
 
 
 
 
 
 Job Accountabilities:
 
 
 <ul>
 <li>
 Track CLEAN ENERGY vertical operational performance against analytical models and monitor KPIs related to production efficiency, safety, environment, and cost.
 </li>
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 Identify, monitor, and quantify operational, safety, and environmental risks using advanced analytics.
 </li>
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 Drive adoption and evangelization of a data science culture across business units through education, communication, and demonstrable use cases.
 </li>
 <li>
 Define and manage the data science roadmap, capabilities, and infrastructure in collaboration with digital and IT teams.
 </li>
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 Manage external analytics partners, vendors, and research collaborators.
 </li>
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 Build and develop data science talent through role definition, recruitment, mentoring, and capability development.
 </li>
 <li>
 Define the scope, design, and implementation of ML/AI models to support CLEAN ENERGY initiatives such as predictive maintenance, anomaly detection, optimization, and forecasting.
 </li>
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 Lead the formulation and optimization of algorithms supporting CLEAN ENERGY products, services, and stakeholder outcomes.
 </li>
 <li>
 Collaborate with digital leaders to ensure secure, reliable, scalable, and cost-effective analytics infrastructure and operations.
 </li>
 <li>
 Ensure effective communication with internal teams, leadership, and stakeholders at all levels.
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 High proficiency in programming and scripting languages such as SQL, Python, or similar.
 </li>
 <li>
 Strong expertise in probability, statistics, machine learning, experimental design, and optimization techniques.
 </li>
 <li>
 Experience working with big data platforms and distributed systems (Hadoop ecosystem).
 </li>
 <li>
 Hands-on experience with statistical and modeling tools such as SAS, R, MATLAB, and advanced statistical and visualization platforms.
 </li>
 <li>
 Expertise in time-series analysis, anomaly detection, and sensor/operational data analytics relevant to the energy sector.
 </li>
 <li>
 Strong understanding of data management, databases (SQL, PL/SQL), and data pipelines.
 </li>
 <li>
 Excellent documentation, communication, and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 Minimum of 15 years of experience in data science, analytics, or advanced modeling roles, preferably at a senior or leadership level.
 </li>
 <li>
 Proven track record of leading high-performing data science teams delivering measurable business impact.
 </li>
 <li>
 Demonstrated experience in advanced quantitative analysis and statistical modeling applied to complex operational environments.
 </li>
 <li>
 Experience leading cross-functional teams in mid-to-large organizations.
 </li>
 </ul>
 
 
 
 
 
 Preferred Educational Qualification:
 
 
 <ul>
 <li>
 Master&rsquo;s/MS in Statistics, Engineering, Computer Science, or an equivalent discipline from a reputed Tier-I institute (desirable).
 </li>
 <li>
 Bachelor&rsquo;s/BS in Statistics, Engineering, or an equivalent discipline from a reputed university or college.
 </li>
 </ul>
 
 
 
 
 Interested candidates, kindly mail to
 
 
 enpcareers.hr@ril.com
 
 
 
</div>

Sr. Lead Data Scientist

Godrej Capital

<div>
 
 
 
 Description
 
 
 
 
 The role incumbent will be responsible for providing data driven approaches towards informed decision making through data analytics, process improvement, proactive solution and passion for machine-learning and research assessments for Godrej Capital.
 
 
 
 
 
 
 
 Key responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Develop Machine Learning Models or analytical algorithms for effective credit risk identification, fraud indicator, collection prioritization, Customer propensity etc.
 </li>
 <li>
 Identify data patterns &amp; trends and provide insights to enhance business decision making capability. Deep Dive on emerging trends for early warning and risk mitigation
 </li>
 <li>
 Should be working towards enhancing data systems and streamlining business processes by working closely with technology teams to align capabilities and implement and test production level systems
 </li>
 <li>
 Communicate findings to all stakeholders
 </li>
 <li>
 Lead a team of junior resources for delivery of advanced analytical tools
 </li>
 <li>
 Data driven approaches and alternate data discovery to identify opportunity and Optimise Credit Risk Policy
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 &bull; Years of experience - 2 to 5 years of relevant experience with prior focus in Risk Analytics
 
 
 &bull; Graduate / Post-graduate degree in Engineering /Economics/Stats/ Maths or any equivalent Quantitative area. (Engineers preferred)
 
 
 &bull; Experience in writing complex SQL queries and perform detailed data analysis
 
 
 &bull; Should be proficient in Python / R
 
 
 &bull; Use of Statistical algorithm and Machine Learning in prior job
 
 
 &bull; Prior Experience in BFSI/ Scorecard Development / Portfolio Monitoring / Policy Analytics
 
 <ul>
 <li>
 Excellent Presentation skill
 </li>
 </ul>
 
 &bull; Prior mentorship experience (Good to have)
 
 
 
</div>

Data Scientist

Godrej Consumer Products Limited

<div>
 
 
 Job Title : Senior Executive - Business Transformation ( Data Scientist)
 
 
 
 
 Location
 
 : Vikhroli, Mumbai
 
 
 
 
 
 
 Role Summary &ndash;
 
 
 
 As a data scientist, you will be a part of the analytics team that develops data driven insights across cross functional teams across all GCPL&rsquo;s countries to drive efficiency and make strategic business decisions. You will research, design and implement cutting edge algorithms to analyse diverse sources of data to achieve the target outcomes
 
 
 
 
 
 
 About Godrej Consumer Products
 
 
 
 Godrej Consumer Products is a part of the over 125-year-young Godrej Group. We are fortunate to have a proud legacy built on the strong values of trust, integrity, and respect for others. As an emerging market company, we have witnessed rapid growth and are pursuing our exciting and innovative aspirations.
 
 
 
 
 
 
 
 
 Today, our Group enjoys the patronage of 1.15 billion consumers globally, across different businesses. In line with our 3 by 3 approach to international expansion, we are building our presence in three emerging markets, namely Asia, Africa, and Latin America, across three categories (home care, personal care, and hair care).
 
 
 
 
 
 We rank among the largest household insecticide and hair care players in the emerging markets. In household insecticides, we are the leader in India and Indonesia and are expanding our footprint in Africa. We are the leader in serving the hair care needs of women of African descent and are the number one player in hair colour products in India and sub-Saharan Africa, and among the leading players in Latin America. We rank second in soap products in India, first in air freshener products in India and Indonesia, and lead in wet tissue products in Indonesia.
 
 
 
 
 
 
 
 
 For us, it is very important that besides our strong financial performance and innovative, much-loved products, we remain a good company. Approximately 23 per cent of the promoter holding in the Godrej Group is held in trusts that invest in the environment, health, and education. We are also bringing together our passion and purpose to make a difference through our Good &amp; Green approach to build a more inclusive and greener India.
 
 
 
 
 
 At the heart of it all is our talented team. We take much pride in fostering an inspiring workplace with an agile and high-performing culture. We are also deeply committed to recognising and valuing diversity across our teams.
 
 
 
 
 
 
 Our People Philosophy
 
 
 
 Core to our employer brand, is the philosophy of tough love. We expect a lot from our team members, differentiate on the basis of performance and potential through career opportunities and rewards and lay particular emphasis on developing, mentoring and training. We believe that passionate, rounded individuals with diverse interests make for better Godrejites. And we understand that our team members play multi-faceted roles. This is why we encourage them, not just to explore their whole selves, but also create an enabling space for them to do so.
 
 
 
 
 
 
 Your Roles &amp; Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Define, breakdown and solve the business problems across business functions while leveraging conventional &amp; new age data sources, and a wide array of techniques to make predictions on potential future outcomes and support decision making
 </li>
 <li>
 Apply advanced statistical and predictive modelling techniques to build, maintain and improve on multiple decision systems and processes
 </li>
 <li>
 Partner and engage with business &amp; transformation leads and teams across key functions such as marketing, supply chain, sales, finance and manufacturing to identify, evolve and fully understand the key business questions and deliver relevant insights that lead to actions.
 </li>
 <li>
 Work autonomously in a fast paced environment
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualification &amp; Experience
 
 
 <ul>
 <li>
 
 B.Tech or Bachelor&rsquo;s degree in mathematics, statistics or computer science or related quantitative field from tier 1/2 institutes
 
 </li>
 <li>
 2-4 years&rsquo; experience in analytics and data science
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 <ul>
 <li>
 Hands on experience in
 
 R or Python
 
 </li>
 <li>
 Good knowledge on Exploratory Data Analysis (EDA)
 </li>
 <li>
 Familiarity with advanced statistical and predictive modelling techniques such as regression, time series, decision trees etc.
 </li>
 <li>
 Strong problem-solving skills &ndash; able to find various ways to solve problems and decide which solution to move forward
 </li>
 </ul>
 
 
 
 
 
 Stakeholders
 
 
 <ul>
 <li>
 Internal &ndash; Functional teams across geographies
 </li>
 <li>
 External &ndash; Data and Analytics service providers, Cloud service providers
 </li>
 </ul>
 
 
</div>

Senior Executive - Business Transformation

Aditya Environmental Services Pvt Ltd

<div>
 
 
 Company Description
 
 
 
 Aditya Environmental Services Pvt Ltd (AESPL), based in Mumbai, Maharashtra, specializes in providing comprehensive techno-legal assistance in environmental studies including EIA, clearances and compliances.
 
 
 
 
 
 AESPL is QCI-NABET accredited for conducting Environmental Impact Assessments (EIA) studies across various sectors, and offers a wide range of services including pollution control, disaster management planning, and compliance advisory under environmental regulations.
 
 
 
 
 
 We have a multidisciplinary team of engineers, planners, and scientists supported by an ISO and NABL-accredited environmental monitoring laboratory.
 
 
 
 
 
 With advanced facilities and extensive expertise, AESPL is committed to delivering sustainable solutions to its clients.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time role for an Environmental Scientist based on-site in Mumbai, Maharashtra. AESPL is able to offer flexibility between its offices located at Mahim and Thane as per the candidate&rsquo;s preference.
 
 
 
 
 
 The Environmental Scientist will be responsible for conducting Environmental Impact Assessments (EIA), writing EIA reports, preparing presentations and submissions, developing environment management plans, and ensuring compliance with environmental laws and regulations.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Expertise in Environmental Impact Assessment (EIA) and comprehensive knowledge of environmental laws and regulations with regard to building and construction projects
 </li>
 <li>
 Knowledge of the EIA Notification 2006, CRZ Notifications 2011/2019
 </li>
 <li>
 Knowledge of IGBC norms
 </li>
 <li>
 Awareness of SEIAA and SEAC requirements for construction projects in Maharashtra and Goa
 </li>
 <li>
 Skills in data analysis, report writing, and planning for various environmental projects
 </li>
 <li>
 Strong research and problem-solving skills related to environmental regulatory challenges
 </li>
 <li>
 Master's degree in Environmental Science, Environmental Engineering, or a related field
 </li>
 <li>
 Strong communication and collaboration skills, with the ability to work effectively in dynamic, multidisciplinary teams
 </li>
 <li>
 Experience in laboratory practices and environmental monitoring would be advantageous, but is not mandatorily required
 </li>
 <li>
 QCI-NABET approval for sector 8(a), 8(b)
 </li>
 <li>
 10+ years of experience in the EIA consultancy field
 </li>
 </ul>
 
 
 
 
 Salary no bar for suitable candidate.
 
</div>

Environmental Scientist

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