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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

sr. lead data scientist

data scientist python ai ml gen ai across india

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

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)
 </li>
 <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

PINKVILLA

<div>
 
 Data Analyst
 
 
 
 
 
 
 
 
 Location:
 
 Mumbai
 
 
 
 Experience:
 
 6&ndash;8 years
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Reporting to:
 
 Head of Growth / Product / Business Intelligence
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for an experienced Data Analyst who can combine strong analytical thinking with AI-powered tools to drive smarter, faster decision-making across product, content, and marketing. This role will play a critical part in analysing user behaviour, content performance, app funnels, and growth metrics &mdash; while leveraging AI for predictive insights, automation, and advanced analytics.
 
 
 The ideal candidate understands both traditional analytics and how AI can enhance efficiency, forecasting, personalisation, and optimisation.
 
 
 Key Responsibilities
 
 
 1) Product &amp; App Analytics
 
 <ul>
 <li>
 Analyse user journeys across the app (onboarding, content discovery, viewing behaviour, retention).
 </li>
 <li>
 Track DAU/MAU, retention, session duration, watch time, churn, and engagement cohorts.
 </li>
 <li>
 Identify funnel drop-offs and recommend data-backed improvements.
 </li>
 <li>
 Partner with Product teams to evaluate feature performance and experimentation results.
 </li>
 </ul>
 
 2) Content Intelligence &amp; Performance
 
 <ul>
 <li>
 Track short-form video performance, show engagement, IP growth, and category trends.
 </li>
 <li>
 Analyse completion rates, repeat consumption patterns, and content stickiness.
 </li>
 <li>
 Provide insights on format optimisation and audience segmentation.
 </li>
 <li>
 Support predictive modelling for identifying high-performing content themes.
 </li>
 </ul>
 
 3) Marketing &amp; Growth Analytics
 
 <ul>
 <li>
 Analyse install funnels (organic and paid), CPI, CAC, LTV, and retention cohorts.
 </li>
 <li>
 Evaluate marketing efficiency and attribution performance.
 </li>
 <li>
 Support experimentation across creatives, audiences, messaging, and growth loops.
 </li>
 <li>
 Identify organic growth levers using behavioural data insights.
 </li>
 </ul>
 
 4) AI-Driven Analytics &amp; Automation
 
 <ul>
 <li>
 Use AI tools and machine learning models for predictive analytics, churn prediction, and user segmentation.
 </li>
 <li>
 Leverage AI-powered platforms (e.g., Python ML libraries, AutoML tools, or AI-enabled BI tools) for forecasting and trend analysis.
 </li>
 <li>
 Automate reporting workflows using AI-based data summarisation and dashboard tools.
 </li>
 <li>
 Explore AI-driven recommendation systems to improve content discovery and retention.
 </li>
 <li>
 Identify opportunities to integrate AI into marketing optimisation and personalisation strategies.
 </li>
 </ul>
 
 5) Dashboarding &amp; Business Reporting
 
 <ul>
 <li>
 Build and maintain automated dashboards for leadership and cross-functional teams.
 </li>
 <li>
 Standardise KPI reporting across departments.
 </li>
 <li>
 Present insights in a simplified and actionable manner for non-technical stakeholders.
 </li>
 </ul>
 
 6) Cross-Functional Collaboration
 
 <ul>
 <li>
 Work closely with Product, Marketing, Content, Engineering, and Leadership teams.
 </li>
 <li>
 Translate complex datasets into strategic recommendations.
 </li>
 <li>
 Drive a data-first and AI-enabled decision-making culture within the organisation.
 </li>
 </ul>
 
 
 
 
 Key Skills &amp; Qualifications
 
 <ul>
 <li>
 6&ndash;8 years of experience in Data Analytics / Business Intelligence / Growth Analytics.
 </li>
 <li>
 Strong proficiency in SQL and advanced Excel/Google Sheets.
 </li>
 <li>
 Hands-on experience with analytics tools (Google Analytics, Firebase, Mixpanel, Amplitude, etc.).
 </li>
 <li>
 Experience with BI tools (Tableau, Power BI, Looker, etc.).
 </li>
 <li>
 Working knowledge of Python or R for data analysis and basic ML modelling.
 </li>
 <li>
 Exposure to AI/ML concepts such as predictive modelling, clustering, regression, classification, and recommendation systems.
 </li>
 <li>
 Familiarity with AI tools for data automation, forecasting, and reporting.
 </li>
 <li>
 Strong understanding of app funnels, retention modelling, and cohort analysis.
 </li>
 </ul>
 
 
 
 
 Preferred Experience
 
 <ul>
 <li>
 Experience in digital media, OTT, or short-form video platforms.
 </li>
 <li>
 Exposure to AI-driven personalisation or recommendation engines.
 </li>
 <li>
 Experience working with attribution tools (AppsFlyer, Adjust, etc.).
 </li>
 <li>
 Understanding of experimentation frameworks and A/B testing methodologies.
 </li>
 </ul>
 
 
</div>

Data Analyst

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Data Analysts (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Analyze structured and unstructured datasets generated from
 
 ML training, inference, and evaluation pipelines
 
 .
 </li>
 <li>
 Define, compute, and validate
 
 metrics
 
 used to evaluate model performance and behavior.
 </li>
 <li>
 Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write and run
 
 Python and SQL
 
 code to analyze data, create reports, and support evaluation workflows.
 </li>
 <li>
 Validate data quality, consistency, and correctness across datasets and experiments.
 </li>
 <li>
 Create clear, well-documented analytical artifacts and reproducible analysis workflows.
 </li>
 <li>
 Collaborate with ML engineers and researchers to design
 
 challenging, real-world evaluation scenarios
 
 for MLE Bench.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of experience as a
 
 Data Analyst or Analytics-focused Engineer
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis.
 </li>
 <li>
 Solid experience with
 
 SQL
 
 and relational datasets.
 </li>
 <li>
 Experience analyzing
 
 ML outputs and evaluation metrics
 
 .
 </li>
 <li>
 Strong understanding of statistics and analytical reasoning.
 </li>
 <li>
 Ability to work with
 
 large, complex datasets
 
 and draw reliable insights.
 </li>
 <li>
 Experience writing
 
 clean, readable, and well-documented analytical code
 
 .
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Data Analyst - 60736

<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)

Reliance Retail

<div>
 
 Join a hyper-growth stage company where you will have the freedom and mandate to build and scale products that impact millions of users. This is an opportunity to lead one of the most exciting growth charters in Indian Retail Tech .
 
 
 
 
 
 OneTech is building the intelligent retail systems of the future.
 
 
 In this role, you will be at the intersection of technology, AI, agentic automations, and large-scale retail operations &mdash; shaping products and platforms that serve millions of consumers and empower thousands of stores across India. You will operate in a fast, product-led, engineering-first environment with the mandate to build at scale.
 
 
 
 
 
 We are seeking a SAP- ABAP &amp; Integration Engineer with strong experience in Retail Supply Chain Management systems, specializing in ABAP development, integrations with SAP and 3rdnparty platforms, and modern ABAP technologies. The role spans WMS, TMS, Procurement and Forecasting/Replenishment domains with implementations and enhancements across Grocery, Digital, F&amp;L and Omnichannel retail formats. The candidate should also have exposure to
 
 
 AI- assisted ABAP development tools and modern coding practices.
 
 
 
 
 
 Development experience in Open source software and systems integrations tools like JAVA, PYTHON, MYSQL, MongoDB, KAFKA etc. and Angular /React Frame work and other Mobility system development tools highly desirable.
 
 
 
 
 
 
 
 About OneTech:
 
 
 
 
 
 OneTech is the technology and product arm powering India&rsquo;s largest retail ecosystem.
 
 
 
 
 We are on a multi-year transformation journey to build:
 
 
 
 
 &bull; AI-driven intelligence and agentic decision systems
 
 
 &bull; Cloud-native platforms that scale across millions of users
 
 
 &bull; Real-time data and automation layers
 
 
 &bull; Modern, user-first digital experiences for consumers, partners &amp; frontline workforce
 
 
 
 
 Join us as we reimagine the future of retail by combining enterprise scale with startup-like agility
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 
 
 
 &bull; Drive the product/engineering roadmap for AI-enabled and agentic workflows, accelerating digital productivity across the retail value chain.
 
 
 &bull; Build scalable, modular, high-performance systems/products that power mission-critical retail operations.
 
 
 &bull; Translate complex business and user problems into simple, intuitive, and elegant solutions using data, design, and experimentation.
 
 
 &bull; Collaborate deeply with engineering, design, data, business, and operations to deliver measurable value.
 
 
 &bull; Own product/feature success metrics &mdash; improving adoption, efficiency, and customer experience.
 
 
 &bull; Bring clarity to ambiguity by defining strategy, scope, prioritization, and clear decision frameworks.
 
 
 &bull; Raise the bar for product/engineering excellence by influencing system architecture, processes, and culture.
 
 
 
 
 &bull; Design, develop and enhance SAP ABAP programs, interfaces, workflows and reports
 
 
 &bull; Develop and support integrations between SAP and 3rdnparty SCM applications
 
 
 &bull; Build and maintain IDocs, RFC, BAPIs, OData services and API based integrations
 
 
 &bull; Support REST / SOAP / file and message based integrations
 
 
 &bull; Collaborate with SCM functional teams across WMS, TMS, Procurement and Replenishment
 
 
 &bull; Translate business requirements into scalable technical designs
 
 
 &bull; Optimize code performance, reusability and modularity using clean coding practices
 
 
 &bull; Leverage AI assisted tools for code generation, review and documentation
 
 
 &bull;Support UAT, deployment, production stabilization and defect resolution
 
 
 &bull; Ensure adherence to development standards and best practices.
 
 
 
 
 
 
 
 What You Bring:
 
 
 
 
 
 
 
 
 
 
 Must-Haves:
 
 
 
 
 
 &bull; Proven experience in building and scaling large consumer, enterprise, or AI-led products/systems.
 
 
 &bull; Strong capability in problem framing, user understanding, data-driven decisioning, and outcome definition.
 
 
 &bull; Exceptional ability to collaborate with engineering, design, data, and cross-functional partners.
 
 
 &bull; High ownership mindset with the ability to lead in ambiguity.
 
 
 &bull; Clear, structured communication and strong stakeholder influence skills.
 
 
 &bull; 3&ndash;6 years of SAP ABAP and integration development experience
 
 
 &bull; Strong analytical, problem-solving and cross functional collaboration skills
 
 
 &bull; Ability to work in fast paced retail and operations environments.
 
 
 &bull; ABAP Dictionary Objects
 
 
 &bull; worked on Reports for processing and display output. (RICEF objects)
 
 
 &bull; Module Pool programming Knowledge.
 
 
 &bull; Use of ALV classical reporting as well as Interactive.
 
 
 &bull; Creation/Modifications SMARTFORMS end to end.
 
 
 &bull; Creation and use of various types of FUCTION modules.
 
 
 &bull; Development experience in BADI, Class and Methods, use of OOPS objects
 
 
 &bull; Development Experience in User Exits/ Enhancement Spots
 
 
 &bull; Creation and use of various types of FUCTION modules.
 
 
 &bull; ALE/ EDI-IDOC , Mobility /Android app development
 
 
 &bull; Exposure to AI assisted ABAP development tools
 
 
 &bull; Extensive ABAPdevelopment knowledgeespecially in SCM systems.
 
 
 &bull; Experience working in Retail / Omnichannel / Ecommerce environments
 
 
 
 
 
 
 
 Nice-to-Haves:
 
 
 
 
 
 &bull; Experience with LLMs, agentic workflows, automation frameworks, or decision engines.
 
 
 &bull; Background in high-growth product startups or big tech scale environments.
 
 
 &bull; Worked in developments pertain to modules like &ndash; SAP MM ,WM, F&amp;R
 
 
 &bull; Domain knowledge in retail, commerce, supply chain, or large operational ecosystems.
 
 
 &bull; Background in high-growth product startups or big tech scale environments.
 
 
 &bull; Distribution centre automation system integrations with WMS / TMS systems
 
 
 &bull; Hands-on expertise in cloud platforms, distributed systems, AI/ML ecosystems, or modern full-stack technologies.
 
 
 &bull; Development exposure in at least two to three SCM functional areas: WMS / TMS /
 
 
 &bull; Knowledge onSCM processes on - Grocery , Digital , F&amp;L
 
 
 
 
 
 
 
 Why Join RRVL OneTech:
 
 
 
 
 
 &bull; Build at the intersection of scale &times; AI &times; digital transformation &mdash; a rare, high-impact opportunity in India.
 
 
 &bull; Work with a high-calibre team from top product companies, startups, and global tech.
 
 
 &bull; Ownership from day one, with freedom to innovate, experiment, fail fast, and ship.
 
 
 &bull; Massive problem scale &mdash; products impacting millions of customers and thousands of stores.
 
 
 &bull; Culture built on speed, autonomy, engineering excellence, and continuous learning.
 
 
 
 
 
 📩
 
 Interested candidates are encouraged to apply directly via LinkedIn with relevant experience highlighted or share your profile on Aparna1.Prathapan@ril.com .
 
 
</div>

Technical Business Analyst

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

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