engineering scientist

Natobotics Technologies Private Limited

Role: Data ScientistExperience: 5-10 yearsLocation: Bangalore<ul><li>5+ years of work experience with a bachelor's degree or an advanced degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>&bull; 3+ Experience with building backend services and APIs, including integration with distributed data systems and cloud-native architectures.</li><li>&bull; 3+ Strong experience in writing efficient, maintainable code for large-scale systems and data-driven applications.</li><li>&bull; 1+ years of hands-on experience with GenAI technologies including LLMs, prompt engineering, embeddings, fine-tuning, or building RAG (Retrieval-Augmented Generation) pipelines.</li></ul><ul><li>Strong programming skills in one or more languages such as Python, Java, or Scala, with a solid foundation in software design principles, testing, and version control (e.g., Git). Python developers are preferred.</li></ul><ul><li>Strong backend engineering background with expertise in building scalable systems using Python, C#, Java or similar, and hands-on experience with microservices, REST APIs, Kafka, and cloud platforms (AWS/Azure) preferably with exposure to secure, low-latency architectures.</li></ul><ul><li>Demonstrated interest or experience in GenAI/Agentic AI systems including building or integrating with LLMs (e.g., OpenAI, Claude), use of tools like LangChain, LangGraph, Copilot, or vector DBs, or implementing AI agent orchestration logic in real-world workflows.</li></ul><ul><li>Comfortable working in AI-first environments, with experience using modern developer tools (e.g., Docker, Kubernetes, CI/CD, Git), and exposure to prompt engineering, embeddings, or AI-based toolchains preferred.</li></ul>Job Type: Full-timePay: Up to &#8377;2,300,000.00 per yearExperience:<ul><li>Python: 5 years (Preferred)</li><li>Data Scientist: 5 years (Preferred)</li></ul>Location:<ul><li>Bengaluru, Karnataka (Required)</li></ul>Work Location: In person

Data Scientist

Accenture

Project Role : Application Developer 
Project Role Description : Design, build and configure applications to meet business process and application requirements.
 
Must have skills : Data Engineering, Data Science, Microsoft Azure Databricks, Datasphere and knowledgeable in system integration 
Good to have skills : Peoplesoft Campus BA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking ways to improve processes and solutions. Roles &amp; Responsibilities: - Implement reusable and responsive UI components - Cover features with unit tests - Ensure accessibility standards (WCAG 2.1) - Write technical documentation - Participate in code reviews - Participate in refinement sessions Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data Engineering, Data Scientist Knowledge, Databricks, Datasphere and knowledgeable in system integration topics. - Performance profiling (Chrome DevTools) - Requirements and API validation - Good To Have Skills: Experience with data modeling and ETL processes. - Strong understanding of cloud computing concepts and services. - Familiarity with programming languages such as Python or Scala. - Experience with data storage solutions, including SQL and NoSQL databases. Additional Information: - The candidate should have 4+ years of experience in Data Engineering, Data Scientist Knowledge, Databricks, Datasphere. - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

Application Developer

Zgrow Solutions Private Limited

Job Title: Data Scientist (Contract &ndash; 1 Year, Auto Extendable) Experience: 3&ndash;5 Years Location: Remote (Open for candidates from Mumbai, Chennai, Pune, Bangalore, Gurgaon)About the RoleWe are seeking a highly skilled Data Scientist with 3&ndash;5 years of hands-on experience to join our team on a 1-year contractual basis (auto extendable). The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to drive business insights and strategic decisions.Key Responsibilities<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>Required Skills &amp; Qualifications<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 Python, R*, or SQL* for data manipulation and analysis.</li><li>Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, or Matplotlib).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li></ul>Contract Details<ul><li>Type: 1 Year (Auto Extendable)</li><li>Mode: Remote</li></ul>Job Type: Contractual / Temporary Contract length: 12 monthsPay: &#8377;50,000.00 - &#8377;70,000.00 per monthApplication Question(s):<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>Work Location: Remote

Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 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.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <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>
 
 
 
 
 
 Key Qualifications
 
 
 <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>

<div>
 
 
 Data Scientist
 
 
 
 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.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <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>
 
 
 
 
 
 Key Qualifications
 
 
 <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>

Glow Beauty On Demand

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions Dubai UAE

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Data Scientist - Advanced Analytics & AI Solutions

Data Scientist - Advanced Analytics & AI Solutions Dubai UAE