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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

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>

DYWIDAG

<div>
 Purpose of the Job
 
 
 We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2&ndash;3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from diverse sources.
 </li>
 <li>
 Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.
 </li>
 <li>
 Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.
 </li>
 <li>
 Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.
 </li>
 <li>
 Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.
 </li>
 <li>
 Visualize data insights using dashboards and reports, primarily with Power BI.
 </li>
 <li>
 Clearly communicate findings and recommendations to stakeholders through presentations and documentation.
 </li>
 <li>
 Continuously improve data quality, analytical processes, and model performance.
 </li>
 <li>
 Stay current with the latest trends and technologies in data science, machine learning, and AI.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 2&ndash;3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.
 </li>
 <li>
 Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Experience with data visualization tools, especially Power BI.
 </li>
 <li>
 Familiarity with Microsoft Azure cloud platforms is preferred.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration abilities.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).
 </li>
 <li>
 Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.
 </li>
 </ul>
</div>

dywidag

<div>Purpose of the Job

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2&ndash;3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization. 
Key Responsibilities:
<ul>
<li>Collect, clean, and preprocess structured and unstructured data from diverse sources.</li>
<li>Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.</li>
<li>Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.</li>
<li>Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.</li>
<li>Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.</li>
<li>Visualize data insights using dashboards and reports, primarily with Power BI.</li>
<li>Clearly communicate findings and recommendations to stakeholders through presentations and documentation.</li>
<li>Continuously improve data quality, analytical processes, and model performance.</li>
<li>Stay current with the latest trends and technologies in data science, machine learning, and AI.</li></ul> 


Required Qualifications:
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li>
<li>2&ndash;3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.</li>
<li>Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.</li>
<li>Proficiency in programming languages such as Python, R, or SQL.</li>
<li>Experience with data visualization tools, especially Power BI.</li>
<li>Familiarity with Microsoft Azure cloud platforms is preferred.</li>
<li>Strong problem-solving skills and attention to detail.</li>
<li>Excellent communication and collaboration abilities.</li></ul> 


Preferred Qualifications:
<ul>
<li>Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).</li>
<li>Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).</li>
<li>Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.</li></ul></div>

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