analytical data scientist

Zgrow Solutions Private Limited

<p><b>Job Title:</b> Data Scientist (Contract &ndash; 1 Year, Auto Extendable)<br/><b>Experience:</b> 3&ndash;5 Years<br/><b>Location:</b> Remote (Open for candidates from Mumbai, Chennai, Pune, Bangalore, Gurgaon)</p><p><b>About the Role</b></p><p>We are seeking a highly skilled <b>Data Scientist</b> with 3&ndash;5 years of hands-on experience to join our team on a <b>1-year contractual basis</b> (auto extendable). The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to drive business insights and strategic decisions.</p><p><b>Key Responsibilities</b></p><ul><li>Analyze complex datasets to extract actionable insights and trends.</li><li>Develop, test, and implement predictive models and machine learning algorithms.</li><li>Collaborate with cross-functional teams to understand business challenges and translate them into analytical solutions.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Create reports and dashboards to visualize data findings for stakeholders.</li><li>Stay updated on emerging technologies, tools, and techniques in data science.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>3&ndash;5 years of proven experience as a Data Scientist.</li><li>Strong knowledge of <b>Python</b>, <b>R*, or </b>SQL* for data manipulation and analysis.</li><li>Experience with <b>Machine Learning</b> frameworks such as Scikit-learn, TensorFlow, or PyTorch.</li><li>Hands-on experience with <b>data visualization tools</b> (Power BI, Tableau, or Matplotlib).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li></ul><p><b>Contract Details</b></p><ul><li><b>Type:</b> 1 Year (Auto Extendable)</li><li><b>Mode:</b> Remote</li></ul><p>Job Type: Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: &#8377;50,000.00 - &#8377;70,000.00 per month</p><p>Application Question(s):</p><ul><li>What is your current CTC ?</li><li>What is your expected CTC?</li><li>What is your notice period or availability to join?</li><li>How many years of total professional experience do you have?</li></ul><p>Work Location: Remote</p>

Data Scientist

Techversant Infotech

<div><div><p><b>What&rsquo;s important to us:</b></p>
<p>
We are seeking a skilled <b>Data Scientist Engineer</b> to build and improve data systems that power analytics, machine learning, and reporting. The ideal candidate has experience with both data engineering and data science&mdash;able to manage large datasets, create predictive models, and turn data into useful insights for better business decisions. make it for senior role</p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Data mining or extracting usable data from valuable data sources</li>
<li>Using machine learning tools to select features, create and optimize classifiers</li>
<li>Carrying out the preprocessing of structured and unstructured data</li>
<li>Enhancing data collection procedures to include all relevant information for developing analytic systems</li>
<li>Processing, cleansing, and validating the integrity of data to be used for analysis</li>
<li>Analyzing large amounts of information to find patterns and solutions</li>
<li>Developing prediction systems and machine learning algorithms</li>
<li>Presenting results in a clear manner</li>
<li>Propose solutions and strategies to tackle business challenges</li>
<li>Collaborate with Business and IT teams</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3>
<ul><li>Programming Skills &ndash; knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.</li>
<li>2+ yrs of experience as a data scientist.</li>
<li>Familiarity with Scala, Java, or C++ is an added advantage.</li>
<li>Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.</li>
<li>Proficiency in statistics is essential for data-driven companies.</li>
<li>Machine Learning &ndash; good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.</li>
<li>Strong Math Skills (Multivariable Calculus and Linear Algebra) &ndash; understanding the fundamentals of multivariable Calculus and Linear</li>
<li>Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.</li>
<li>Data Wrangling &ndash; proficiency in handling imperfections in data is an important aspect of a data scientist job description.</li>
<li>Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data</li>
<li>Excellent Communication Skills &ndash; it is incredibly important to describe findings to a technical and non-technical audience.</li>
<li>Strong Software Engineering Background</li>
<li>Hands-on experience with data science tools</li>
<li>Problem-solving aptitude</li>
<li>Analytical mind and great business sense</li>
<li>Degree in Computer Science, Engineering or relevant field is preferred</li>
<li>Proven Experience as Data Analyst or Data Scientist</li>
</ul>
<p>What Company Offers:<br>
<i>Excellent career growth opportunities and exposure to multiple technologies.</i><br>
<i>Fixed weekday day schedule, meaning, you&rsquo;ll have your weekends off!</i><br>
<i>Family Medical Insurance.</i><br>
<i>Unique leave benefits and encashment options based on performance.</i><br>
<i>Long term growth opportunities.</i><br>
<i>Fun family environment surrounded by experienced developers.</i><br>
<i>Various internal employee rewards programs based on Performance.</i><br>
<i>Opportunities for various other Bonus programs &ndash; for training hours taken, certifications, special value to business through idea and innovation.</i><br>
<i>Work life Balance &ndash; flexible work timings, early out Fridays, various social and cultural activities etc.</i></p>
<p><i>
Company Sponsored International Tours.</i></p>
</div>
<div><div><div><div><b>Job Category: </b>Data Science
</div><div><b>Job Type: </b>Full Time
</div><div><b>Job Location: </b>Kochi Trivandrum</div></div></div></div></div>

Cloud Enterprise Business Solutions (CEBS)

<div>
 <p>
  <strong>
   Data Scientist
  </strong>
 </p>
 <p>
  We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
  </li>
  <li>
   Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
  </li>
  <li>
   Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
  </li>
  <li>
   Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
  </li>
  <li>
   Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
  </li>
  <li>
   Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
  </li>
  <li>
   Document models, workflows, and results following best practices for reproducibility and governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Qualifications
  </strong>
 </p>
 <ul>
  <li>
   3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
  </li>
  <li>
   Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
  </li>
  <li>
   Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
  </li>
  <li>
   Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
  </li>
  <li>
   Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
  </li>
  <li>
   Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
  </li>
  <li>
   Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
  </li>
 </ul>
 <p>
 </p>
</div>


<div>
 <p>
  <strong>
   Data Scientist
  </strong>
 </p>
 <p>
  We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
  </li>
  <li>
   Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
  </li>
  <li>
   Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
  </li>
  <li>
   Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
  </li>
  <li>
   Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
  </li>
  <li>
   Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
  </li>
  <li>
   Document models, workflows, and results following best practices for reproducibility and governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Qualifications
  </strong>
 </p>
 <ul>
  <li>
   3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
  </li>
  <li>
   Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
  </li>
  <li>
   Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
  </li>
  <li>
   Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
  </li>
  <li>
   Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
  </li>
  <li>
   Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
  </li>
  <li>
   Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
  </li>
 </ul>
</div>


Dream Games

<div>
 <p>
  We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
  </li>
  <li>
   Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
  </li>
  <li>
   Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
  </li>
  <li>
   Monitoring the integrity and validity of the reported data
  </li>
  <li>
   Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience in prediction, modeling, and forecasting
  </li>
  <li>
   Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
  </li>
  <li>
   Advanced SQL skills
  </li>
  <li>
   High proficiency in Python or R
  </li>
  <li>
   Excellent communication skills
  </li>
  <li>
   Passion and interest in games
  </li>
  <li>
   Appreciation and understanding of teamwork
  </li>
 </ul>
</div>


Eaton

<div><div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll do:</b></h2>
</div><div><p>
We are seeking a motivated Data Scientist to join our Commercial Finance Analytics team based in the Business Finance COE Center in Pune, India. This individual contributor role will support the design and implementation of analytical solutions for Eaton businesses through Commercial Finance.<br>
The candidate will collaborate with cross-functional teams to help define, manage, and optimize data assets in a scalable and sustainable manner.<br>
This role will contribute to the development of tools, dashboards, and analytics that provide actionable, data-driven insights into business operations.<br>
The key objective of this position is to apply core analytics methodologies including statistical analysis, trend modeling, and basic machine learning to uncover insights, support recommendations, and enable data-informed decision-making across the organization.</p><p>
The Data Scientist will support the discovery of insights from complex datasets to enable smarter, data-driven decision-making across Eaton businesses through Commercial Finance. The role focuses on contributing to the development of a unified data ecosystem and applying analytics techniques to deliver actionable insights.<br>
Key responsibilities include:</p><ul><li>Support analytical projects: Assist in defining problems, exploring data, and developing models that align with business goals to support growth and efficiency.</li><li>Contribute to data platform development: Help build and maintain systems to collect, process, and visualize data from various sources for analysis.</li><li>Apply analytical techniques: Use statistical methods and basic machine learning to identify trends and translate data into meaningful insights.</li><li>Collaborate with cross-functional teams: Work with business partners to understand business processes and contribute to designing data solutions that fit operational needs.</li><li>Provide ongoing analytical support: Deliver historical and trend-based insights to help teams make informed decisions.</li><li>Identify opportunities for analytics: Participate in identifying use cases where data science can add value and support capability development within the team.</li><li>Data modeling and process improvement: Design data models that improve workflows, reduce risk, and support strategic initiatives.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications:</b></h2>
</div><div><ul><li>Minimum bachelor&rsquo;s degree in mathematics, Economics, Business Analytics, Engineering, or a related quantitative field.</li><li>3-5 years of experience &ndash; manufacturing industry exposure preferred.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Skills:</b></h2>
</div><div><ul><li>Microsoft Power BI and Data science experience mandatory.</li><li>SQL language query mandatory.</li><li>Data Engineering - extracting (relevant data), transforming (cleaning data), and loading (calculating &amp; integrating) data from multiple sources to a single repository &ndash; mandatory.</li><li>Strong analytical skills- prior experience of working on big data analytics projects - preferred.</li><li>Strong business acumen in the candidate's respective industry.</li><li>Ability to multi-task and be proactive &amp; independent in a dynamic environment.</li><li>Highly motivated individuals with excellent oral and written communication skills.</li><li>Strategic and Critical approach towards solving problems and decision making.</li><li>Results-oriented; proven ability to prioritize, drive and achieve results.</li></ul></div></div></div></div>

Data Scientist - Solution Design & Commercial Finance Analytics

TAWANTECH

<div>
 <strong>
  <strong>
   Job Overview:
   <br/>
   <br/>
  </strong>
 </strong>
 We are seeking an experienced
 <strong>
  Data Scientist
 </strong>
 to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.
 <br/>
 <br/>
 <strong>
  <strong>
   Key Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Analyze large, complex structured and unstructured datasets to derive actionable insights.
  </li>
  <li>
   Develop, validate, and deploy statistical and machine learning models.
  </li>
  <li>
   Use SQL, Python, or R to manipulate data and draw insights from large datasets.
  </li>
  <li>
   Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
  </li>
  <li>
   Implement parameter reduction techniques such as feature selection and PCA to optimize models.
  </li>
  <li>
   Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
  </li>
  <li>
   Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
  </li>
  <li>
   Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
  </li>
  <li>
   Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
  </li>
  <li>
   Collaborate with cross-functional teams including product, engineering, and business stakeholders.
  </li>
  <li>
   Ensure accuracy, consistency, and quality in data deliverables.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Required Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   3+ years of experience as a Data Scientist, Data Analyst, or similar role.
  </li>
  <li>
   Strong proficiency in SQL and Python or R.
  </li>
  <li>
   Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
  </li>
  <li>
   Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
  </li>
  <li>
   Experience with parameter reduction techniques (e.g., PCA, feature selection).
  </li>
  <li>
   Proven experience working with APIs, large datasets, and both structured/unstructured data.
  </li>
  <li>
   Experience using Dataiku (DSS) for building data pipelines and deploying models.
  </li>
  <li>
   Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
  </li>
  <li>
   Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  </li>
  <li>
   Experience in the financial services or investment domain is a plus
  </li>
 </ul>
</div>


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