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Unilever

<div>
 
 Job Title:
 
 Data Scientist
 
 
 
 Function:
 
 Supply Chain
 
 
 
 Location:
 
 Mumbai HO
 
 
 
 Req ID:
 
 R-1171037
 
 
 
 Overview
 
 
 
 We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyse consumer behaviour, and unlock opportunities that drive growth in the fast-paced FMCG e-commerce environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Insights: Collect, clean, and analyse large datasets from multiple sources (sales, supply chain, customer behaviour) to generate actionable insights.
 </li>
 <li>
 Predictive Modelling: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability.
 </li>
 <li>
 Supply Chain Optimization: Use advanced analytics to identify inefficiencies, reduce stock-outs, and improve On-Time-In-Full (OTIF) performance.
 </li>
 <li>
 Dashboard Development: Build and maintain MIS dashboards to monitor KPIs such as fill rate, in-stock %, inventory days on hand, and customer service metrics.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with E-commerce, Supply Planning, Customer Operations, and IT teams to deliver scalable data solutions.
 </li>
 <li>
 Innovation &amp; Capability Building: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s degree in data science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data science, preferably in FMCG or e-commerce
 </li>
 <li>
 Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Experience with machine learning frameworks
 </li>
 <li>
 Solid understanding of supply chain, retail, or FMCG business models
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills
 
 
 </li>
 </ul>
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent - please verify before proceeding
</div>

Data Scientist

<div>Job Title: Data Scientist
Function: Supply Chain
Location: Mumbai HO
Req ID: R-1171037
Overview
We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyse consumer behaviour, and unlock opportunities that drive growth in the fast-paced FMCG e-commerce environment.
Key Responsibilities<ul><li>
Data Analysis &amp; Insights: Collect, clean, and analyse large datasets from multiple sources (sales, supply chain, customer behaviour) to generate actionable insights.</li><li>
Predictive Modelling: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability.</li><li>
Supply Chain Optimization: Use advanced analytics to identify inefficiencies, reduce stock-outs, and improve On-Time-In-Full (OTIF) performance.</li><li>
Dashboard Development: Build and maintain MIS dashboards to monitor KPIs such as fill rate, in-stock %, inventory days on hand, and customer service metrics.</li><li>
Cross-Functional Collaboration: Partner with E-commerce, Supply Planning, Customer Operations, and IT teams to deliver scalable data solutions.</li><li>
Innovation &amp; Capability Building: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s/master&rsquo;s degree in data science, Statistics, Computer Science, or related field</li><li>
3&ndash;5 years of experience in data science, preferably in FMCG or e-commerce</li><li>
Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.)</li><li>
Experience with machine learning frameworks</li><li>
Solid understanding of supply chain, retail, or FMCG business models</li><li>
Excellent problem-solving, communication, and stakeholder management skills</li></ul>
All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent - please verify before proceeding</div>

Team Geek Solutions

<div>
 
 Job Title:
 
 Data Scientist
 
 
 
 Experience:
 
 3&ndash;8 Years
 
 
 
 Work Mode:
 
 Hybrid
 
 
 
 Notice Period: Immediate Joiner
 
 
 
 
 Job Description
 
 
 
 We are looking for an experienced
 
 Data Scientist
 
 with strong expertise in advanced analytics and GenAI to support end-to-end data-driven solutions. The ideal candidate will work closely with cross-functional teams to build scalable models, automate workflows, and drive business insights.
 
 
 
 Key Skills Required
 
 
 
 <ul>
 <li>
 GenAI (prompt engineering, model fine-tuning, LLM integration)
 </li>
 <li>
 Python (Pandas, NumPy, Scikit-learn, ML/DL frameworks)
 </li>
 <li>
 SQL (advanced queries, optimization)
 </li>
 <li>
 PySpark (distributed data processing)
 </li>
 <li>
 Experience in building, deploying, and evaluating ML models
 </li>
 <li>
 Strong problem-solving skills with the ability to work in a hybrid setup
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and optimize ML/GenAI models for business use cases
 </li>
 <li>
 Work with large datasets using PySpark and SQL
 </li>
 <li>
 Collaborate with engineering and product teams to design scalable solutions
 </li>
 <li>
 Generate actionable insights through data analysis and modeling
 </li>
 <li>
 Deploy, monitor, and improve model performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, Engineering, or related field
 </li>
 <li>
 3&ndash;8 years of relevant experience
 
 
 </li>
 </ul>
 Skills: data scientist,genai,python,sql,pyspark
</div>

Fx31 Labs

Opening: 2 Job Title: Data ScientistExperience: 5 to 8 YearsJob Title: Sr.Data ScientistExperience: 8+ YearsAbout RoleWe are seeking a Data Science Contractor to support data analysis and modeling. The ideal candidate is highly proficient in Python and modern data-science tools, with hands-on experience deploying and managing models in AWS SageMaker. The role involves working with potentially messy datasets, building reproducible pipelines, and delivering actionable insights. Experience with travel or mobility data is a strong plus.Responsibilities <ul><li>Develop, test, and deploy data-science models and pipelines using Python and AWS SageMaker.</li><li>Perform data preparation, feature engineering, exploratory analysis, and model evaluation.</li><li>Create production-ready code and documentation for reusable workflows.</li><li>Collaborate with internal teams to translate requirements into analytical solutions.</li></ul>Required Skills <ul><li>Strong proficiency in Python and common data-science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow).</li><li>Hands-on experience with AWS SageMaker, including training, tuning, and deploying models.</li><li>Ability to work independently and deliver high-quality results on tight timelines.</li></ul>Preferred <ul><li>Experience with travel, mobility, or geolocation datasets.</li><li>Familiarity with AWS data services (S3, Lambda, Step Functions).</li></ul>Job Type: PermanentPay: &#8377;1,200,000.00 - &#8377;3,000,000.00 per yearBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

RandomTrees

<div>
 
 🚀 We Are Hiring: Data Scientist &ndash; GenAI (3+ Years) | Chennai | Hybrid | Immediate Joiners Preferred
 
 
 
 
 
 Are you passionate about LLMs, NLP, and Generative AI?
 
 
 
 
 
 Do you enjoy building intelligent systems using embeddings, transformers, and fine-tuning techniques?
 
 
 
 
 
 If yes, we want to talk to you! 👇
 
 
 📧 How to Apply
 
 
 Please share your CV at: ngongadala@randomtrees.com
 
 
 Or DM me directly on LinkedIn.
 
 
 
 
 
 📌 Role Overview
 
 
 We are looking for a Data Scientist (GenAI) with strong hands-on experience in building, fine-tuning, and deploying AI/ML models for production-grade applications.
 
 
 📍 Location
 
 
 Chennai &ndash; Hybrid (2&ndash;3 days office/week)
 
 
 🧑 💼 Experience
 
 
 3 - 15 Years
 
 
 📅 Joining
 
 
 Immediate joiners
 
 
 
 
 
 🛠 Key Responsibilities
 
 
 Build &amp; optimize data preprocessing, feature extraction, and model training pipelines
 
 
 Work with LLMs, Transformers, Embeddings &amp; Vector Search
 
 
 Perform PEFT, LoRA, Prompt Tuning for fine-tuning models
 
 
 Conduct EDA &amp; model evaluation (Accuracy, Precision, Recall, F1)
 
 
 Integrate trained models into backend APIs
 
 
 Collaborate with cross-functional teams for deployment &amp; monitoring
 
 
 Research and implement the latest GenAI, NLP &amp; LLM techniques
 
 
 
 
 
 🎯 Required Skills
 
 
 Python, NumPy, Pandas, Scikit-learn
 
 
 PyTorch / TensorFlow
 
 
 Hugging Face, Transformers, LLMs
 
 
 LangChain / OpenAI / Cohere / Anthropic APIs
 
 
 Text embeddings, semantic search, vector DBs (FAISS / Pinecone / Milvus)
 
 
 Experience with AWS S3 / SageMaker (preferred)
 
 
 RAG pipelines, Chatbots, Conversational AI
 
 
 MLOps, CI/CD for ML models
 
</div>

Dholakia Lab Grown Diamond

<div>
 
 
 Job Title:
 
 Data Scientist &ndash; Jewellery Manufacturing &amp; Retail Analytics
 
 
 
 
 
 
 Experience:
 
 2&ndash;6 years
 
 
 
 Location:
 
 Surat / Mumbai
 
 
 
 Industry:
 
 Diamond and Jewellery Manufacturing &amp; Retail
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Data Scientist with a strong business mindset
 
 to solve real-world problems in the jewellery value chain &mdash; not just build models.
 
 
 This role sits at the intersection of
 
 data, finance, supply chain, and leadership
 
 . You&rsquo;ll work on demand forecasting, pricing, inventory optimisation, and margin analysis while accounting for
 
 gold price volatility, seasonality, festivals, promotions, and regional demand patterns
 
 .
 
 
 
 
 
 If you enjoy turning messy, operational data into clear business decisions, this role is for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain
 
 demand forecasting models
 
 considering seasonality, festivals, promotions, and regional trends
 </li>
 <li>
 Develop
 
 pricing and margin models
 
 factoring gold rate volatility, labour costs, and BOM structures
 </li>
 <li>
 Optimise
 
 inventory planning
 
 for weight-based SKUs (grams, carats, designs, variants)
 </li>
 <li>
 Perform
 
 profitability and contribution analysis
 
 at SKU, category, and channel levels
 </li>
 <li>
 Partner closely with
 
 finance, supply chain, sales, and senior leadership
 
 to translate insights into actions
 </li>
 <li>
 Create clear dashboards, analyses, and narratives that support
 
 executive decision-making
 
 </li>
 <li>
 Continuously improve data quality, assumptions, and model performance based on real business feedback
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 2&ndash;6 years of experience as a
 
 Data Scientist / Analytics professional
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 (Pandas, NumPy, Scikit-learn)
 </li>
 <li>
 Solid knowledge of
 
 statistics, regression, and time-series forecasting
 
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and working with large, imperfect datasets
 </li>
 <li>
 Ability to explain complex analysis in
 
 simple business language
 
 </li>
 </ul>
 
 
 
 
 
 Good to Have (Strong Advantage)
 
 
 <ul>
 <li>
 Experience in
 
 retail, manufacturing, jewellery, FMCG, or consumer goods
 
 </li>
 <li>
 Exposure to
 
 weight-based inventory
 
 , costing, pricing, or BOM analytics
 </li>
 <li>
 Understanding of
 
 gold pricing, wastage, making charges, or multi-component SKUs
 
 </li>
 <li>
 Experience working directly with
 
 CXOs or business heads
 
 </li>
 </ul>
 
 
 
 
 
 What We Value
 
 
 <ul>
 <li>
 Business-first thinking over theoretical perfection
 </li>
 <li>
 Curiosity and ownership &mdash; you ask
 
 why
 
 , not just
 
 what
 
 </li>
 <li>
 Comfort working in ambiguity and evolving data environments
 </li>
 <li>
 Strong collaboration across non-technical teams
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on
 
 high-impact, real-world jewellery problems
 
 , not sandbox datasets
 </li>
 <li>
 Direct exposure to
 
 leadership decision-making
 
 </li>
 <li>
 Opportunity to shape how data drives pricing, inventory, and profitability at scale
 </li>
 <li>
 Fast-growing organisation with a strong focus on
 
 analytics-led growth
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 </ul>
 
 
</div>

<div>
 Data Scientist
 
 
 Company:** BP Business Sol (HC)
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled and analytical Data Scientist to join our team. In this role, you will leverage data to drive strategic business decisions, identify opportunities for improvement, and contribute to the commercial success of BP Business Sol (HC).
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Apply advanced analytical techniques and statistical modeling to extract meaningful insights from complex datasets.
 </li>
 <li>
 Develop and implement predictive models and machine learning algorithms to solve business challenges.
 </li>
 <li>
 Utilize LLM capabilities to build and solve complex business problems.
 </li>
 <li>
 Develop AI assets using Gen AI and Agentic AI framework. Utilize and maintain the existing assets.
 </li>
 <li>
 Design and create compelling data visualizations and interpretations to effectively communicate findings to diverse stakeholders.
 </li>
 <li>
 Collaborate with various business units to understand their needs and translate them into data-driven solutions.
 </li>
 <li>
 Contribute to the identification and assurance of commercial opportunities and risks.
 </li>
 <li>
 Proactively identify areas for digital automation to improve efficiency and data quality.
 </li>
 <li>
 Support financial reporting and analysis through data-driven insights.
 </li>
 <li>
 Manage and contribute to data-related projects, ensuring timely delivery and successful outcomes.
 </li>
 <li>
 Maintain a strong customer-centric approach, ensuring data solutions address user needs and improve their experience.
 </li>
 <li>
 Engage in continuous learning and application of agility core practices in project execution.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Proven experience in a Data Scientist role, demonstrating strong analytical thinking and problem-solving abilities.
 </li>
 <li>
 Strong expertise in Python programming, Databricks and SQL.
 </li>
 <li>
 Understanding of Microsoft Azure environment and various services.
 </li>
 <li>
 Expertise in Gen AI and Agentic AI frameworks such as Langchain, Langgraph, Llamaindex etc.
 </li>
 <li>
 Proven experience in building Gen AI application.
 </li>
 <li>
 Expertise in data visualization and interpretation, with the ability to convey complex information clearly and concisely.
 </li>
 <li>
 Experience with commercial assurance for external partnerships and projects.
 </li>
 <li>
 Excellent communication and influencing skills, capable of presenting findings to technical and non-technical audiences.
 </li>
 <li>
 Demonstrated creativity and innovation in approaching data challenges and developing novel solutions.
 </li>
 <li>
 Familiarity with Digital Automation tools and techniques.
 </li>
 <li>
 Knowledge of Financial Reporting principles and practices.
 </li>
 <li>
 Experience with Project Management methodologies.
 </li>
 <li>
 Strong understanding and application of Risk Management principles in data-driven projects.
 </li>
 <li>
 Ability to work effectively in an agile environment, demonstrating adaptability and a collaborative spirit.
 </li>
 <li>
 Customer-centric thinking with a focus on delivering value to internal and external stakeholders.
 </li>
 <li>
 Experience in Credit Management is a plus.
 </li>
 </ul>
</div>

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