business analyst

data analyst

senior data scientist

data engineer

software developer

data scientist

FLOWATT BATTERY SCIENCE PRIVATE LIMITED

<p><b>Job Title:</b> Data Scientist<br/><b>Location:</b> Bengaluru, India<br/><b>Experience Required:</b> 7 -8 years</p><p><b>About Us</b><br/>Flowatt is an innovative energy storage company building the next generation of Lithium-Ion battery systems. We combine advanced engineering with data-driven insights to optimize battery performance, reliability, and safety.</p><p><b>Role Overview</b><br/>We are seeking a skilled <b>Data Scientist</b> to join our in-house R&amp;D team. You will work closely with battery engineers and product teams to analyze large datasets, develop predictive models, and extract actionable insights that drive product innovation and operational excellence.</p><p><b>Key Responsibilities</b></p><ul><li>Collect, clean, and analyze large datasets from battery testing and operations.</li><li>Develop predictive models and machine learning algorithms for performance optimization and failure prediction.</li><li>Collaborate with engineering teams to translate insights into design improvements.</li><li>Build dashboards and visualization tools for real-time monitoring and decision-making.</li><li>Contribute to research papers, patents, and technical documentation.</li></ul><p><b>Requirements</b></p><ul><li>Master&rsquo;s or Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>7-8 years of hands-on experience in data science or applied machine learning.</li><li>Strong knowledge of Python, SQL, and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with data visualization tools (Tableau, Power BI, or matplotlib).</li><li>Knowledge of time-series analysis and predictive modeling (preferred).</li><li>Prior experience in energy storage, batteries, or related fields will be an advantage.</li></ul><p><b>Why Join Us</b></p><ul><li>Be part of a pioneering company shaping the future of clean energy.</li><li>Work on challenging, real-world problems with direct impact.</li><li>Collaborative, innovation-driven work environment.</li><li>Competitive compensation and growth opportunities.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;100,000.00 - &#8377;120,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li></ul><p>Experience:</p><ul><li>Data scientist: 7 years (Preferred)</li></ul><p>Work Location: In person</p>

Data Scientist

Birlasoft

<div>
 <p>
  Data Scientist experience (8 to 10 years)
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   5 years of relevant work experience as a data scientist
  </li>
  <li>
   Experience designing and building statistical forecasting models.
  </li>
  <li>
   Experience in Python, PySpark, Azure Machine Learning, OpenAI and SQL
  </li>
  <li>
   Minimum 2 years of experience in Azure Cloud using Natural Language API, MLflow
  </li>
  <li>
   Hands-on experience with LLMs and GenAI frameworks
  </li>
  <li>
   Experience designing and building machine learning models.
  </li>
  <li>
   Experience designing and building optimization models., including expertise with statistical data analysis
  </li>
  <li>
   Lead the end-to-end development of AI/ML solutions, from problem definition to production deployment.
  </li>
  <li>
   Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Scikit-learn.
  </li>
  <li>
   Effective written and verbal communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Mandatory: Skillset: Python, PySpark, Azure Machine Learning, OpenAI
 </p>
 <p>
  Good to have : Azure Databricks
 </p>
</div>


Siemens Healthineers

<div><div><div><div><div><div>Job ID
</div><div>468645
</div></div><div><div>Posted since
</div><div>23-Sep-2025
</div></div><div><div>Organization
</div><div>Siemens Healthineers
</div></div><div><div>Field of work
</div><div>Research &amp; Development
</div></div><div><div>Company
</div><div>Siemens Healthcare Private Limited
</div></div><div><div>Experience level
</div><div>Experienced Professional
</div></div><div><div>Job type
</div><div>Full-time
</div></div><div><div>Work mode
</div><div>Office/Site only
</div></div><div><div>Employment type
</div><div>Permanent
</div></div><div><div>Location(s)
</div><div><ul><li>Bangalore - Karnataka - India
</li></ul></div></div></div></div></div><div><div><div><div><div><div><div>Job Description:</div><div>
Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications.</div><div>
</div><div>
The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it&rsquo;s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it&rsquo;s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application.</div><div>
The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions.</div><div>
</div><div>
Responsibilities:</div><ul><li>Contribute the development of Artificial Intelligence solutions for medical imaging</li><li>Support the product development and deployment of research prototypes</li><li>Support Scientific evaluation, setup and manage algorithm validation pipeline</li></ul><div>
</div><div>
Education:</div><div>
Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics.</div><div>
</div><div>
Experience:</div><div>
4+ Years of experience</div><div>
</div><div>
Skills/Competency:</div><ul><li>Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R)</li><li>Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required</li><li>Prior exposure to machine learning and related fields is preferable but not required</li><li>Motivated, self-driven and with a strong ability to learn independently</li><li>Exhibits strong problem-solving skills</li><li>Self-directed and actively takes initiative</li><li>Familiar with DICOM &amp; Medical Raw image formats and it's applications</li><li>Familiar with Data science tools</li><li>Strong knowledge of regulatory needs related to medical devices, AI products in healthcare</li></ul></div></div></div></div></div></div></div>

NTT DATA

<p><b>Key Responsibilities:</b></p><ul><li>Bringing together information from different sources, cleaning it, and making sure it&rsquo;s ready for analysis</li><li>Examining large datasets, both structured and unstructured, to spot patterns, trends, and unusual findings</li><li>Creating machine learning models and algorithms, then testing them to ensure accuracy and effectiveness</li><li>Using statistical methods to build models that can forecast outcomes and support better planning</li><li>Simplifying tasks and processes through programming and AI tools</li><li>Turning results into clear reports, dashboards, and visualizations that make insights easy to understand</li><li>Working closely with different teams to make sure data-driven insights are put into action</li></ul><p><b>Key Requirements: </b></p><ul><li>4+ years of professional experience as a Data Scientist or in a similar role.</li><li>Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Advanced proficiency in SQL for data manipulation and extraction from databases.</li><li>Solid understanding of machine learning techniques, statistical analysis, and experimental design.</li><li>Demonstrated experience with big data frameworks and cloud platforms (e.g., Spark, AWS, Azure, GCP).</li><li>Experience with Natural Language Processing (NLP) or Computer Vision techniques.</li><li>Familiarity with MLOps processes and tools for model governance and deployment (e.g., MLflow, Docker, Airflow).</li></ul><p>Job Types: Full-time, Permanent</p><p>Ability to commute/relocate:</p><ul><li>Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>What is your total relevant experience in data scientist role?</li><li>What is your notice period?</li><li>What is your expected CTC?</li><li>What is your current CTC?</li></ul><p>Work Location: In person</p>

Mahindra & Mahindra Ltd

<div><div><div><div><div><div><div><div><div><p>Data Scientist
</p></div></div></div></div><div><div><div><div><b>Date: </b>6 Oct 2025
</div></div></div></div><div><div><div><div><b>Location:
</b>MITC, Kandivli, MITC, Kandivli, IN
</div></div></div></div><div><div><div><div><b>Company: </b>Mahindra &amp; Mahindra Ltd
</div></div></div></div><div><div><div><div><div><div><div><div>Job Purpose</div>
</div><div><div>
We are seeking a skilled Data Scientist with 3-5 years of experience to join our team. The ideal candidate will have strong expertise in Python programming, classical machine learning, deep learning, natural language processing (NLP), and generative AI techniques. Experience with SQL databases and cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure is essential. You will work on designing, developing, and deploying advanced AI/ML models and solutions that drive key business insights and innovations.</div></div></div><div><div><div>
Key Responsibilities:</div>
</div><div><ul><li>Collect, preprocess, and analyse structured and unstructured data from multiple sources, including SQL databases and cloud storage.</li>
<li>Develop, train, and optimize classical machine learning models and deep learning architectures to solve complex business problems.</li>
<li>Build and deploy NLP and generative AI models (e.g., transformers, LLMs) for tasks such as text classification, entity recognition, and content generation.</li>
<li>Design end-to-end machine learning pipelines on cloud platforms (GCP or Azure), ensuring scalability, automation, and monitoring.</li>
<li>Collaborate with cross-functional teams including data engineers, software developers, and product managers to integrate AI solutions into products and workflows.</li>
<li>Perform rigorous model evaluation, tuning, and validation to ensure robustness and accuracy.</li>
<li>Communicate technical results and business insights clearly to both technical and non-technical stakeholders.</li>
<li>Keep abreast of the latest advancements in AI/ML, NLP, and cloud technologies to continuously improve our methodologies and solutions.</li>
</ul></div></div><div><div><div>Mandatory Skills and Experience:</div>
</div><div><ul><li>3-5 years of professional experience as a Data Scientist or related role.</li>
<li>Proficient in Python programming and relevant ML/DL libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face.</li>
<li>Strong understanding and hands-on experience with classical machine learning algorithms and deep learning models.</li>
<li>Solid experience in NLP techniques and developments, including working with generative AI models like GPT , or similar transformer-based architectures.</li>
<li>Experience with relational database management systems, specifically PostgreSQL, including querying and data manipulation.</li>
<li>Practical experience with cloud platforms Google Cloud Platform (GCP) or Microsoft Azure for building and deploying machine learning models.</li>
<li>Ability to write clean, maintainable, and production-ready code.</li>
<li>Familiarity with data visualization and reporting tools is a plus.</li>
</ul></div></div><div><div><div>Preferred Qualifications:</div>
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li>
<li>Experience with containerization and orchestration tools (Docker, Kubernetes).</li></ul></div></div></div><br>
</div></div></div></div><p><br>
<b>Job Segment: </b>Scientific, Engineering</p></div></div></div></div></div><p></p>

AB InBev GCC India

<div>
 <p>
  AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Do You Dream Big?
 </p>
 <p>
  We Need You.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <strong>
   Job Title: Data Scientist &ndash; Predictive Forecasting
  </strong>
 </p>
 <p>
  <strong>
   Location: Bangalore
  </strong>
 </p>
 <p>
  <strong>
   Reporting to: Senior Manager Analytics
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   1) Purpose of the role
  </strong>
 </p>
 <p>
  We are seeking a talented
  <strong>
   Data Scientist
  </strong>
  specializing in
  <strong>
   Statistical modelling, Predictive modelling, Time Series Forecasting
  </strong>
  to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2)
  </strong>
  <strong>
   Key tasks &amp; accountabilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Develop and Implement Models:
   </strong>
  </li>
  <li>
   Design and implement and Maintain time series forecasting models to predict key business metrics.
  </li>
  <li>
   Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
  </li>
  <li>
   <strong>
    Data Analysis and Insight Generation:
   </strong>
  </li>
  <li>
   Analyze large and complex datasets to identify trends, patterns, and anomalies.
  </li>
  <li>
   Generate actionable insights that inform business strategies and operational improvements.
  </li>
  <li>
   <strong>
    Collaborate with Cross-Functional Teams:
   </strong>
  </li>
  <li>
   Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
  </li>
  <li>
   <strong>
    Communicate Findings:
   </strong>
  </li>
  <li>
   Present analysis results and insights to stakeholders in a clear and concise manner.
  </li>
  <li>
   Prepare reports, visualizations, and dashboards to communicate data findings.
  </li>
  <li>
   <strong>
    Continuous Improvement:
   </strong>
  </li>
  <li>
   Monitor model performance and implement enhancements as necessary.
  </li>
  <li>
   Stay updated with the latest developments in data science, machine learning, and time series forecasting.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3) Qualifications, Experience, Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Level of educational attainment required.
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Previous work experience
  </strong>
 </p>
 <ul>
  <li>
   Minimum of 2 years of experience in data science or a related role.
  </li>
  <li>
   Proven experience with time series analysis and forecasting techniques is a plus
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills required
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
  </li>
  <li>
   MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring &amp; Logging, Registry, Data and Model Lineage)
  </li>
  <li>
   Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus).
  </li>
  <li>
   Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet).
  </li>
  <li>
   Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
  </li>
  <li>
   Insights presentation - PowerPoint
  </li>
  <li>
   Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests &amp; Code Reviews
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Other Skills required
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Excellent problem-solving and analytical skills.
  </li>
  <li>
   Strong communication and presentation abilities.
  </li>
  <li>
   Ability to work collaboratively in a team environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   And above all of this, an undying love for beer!
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   We dream big to create future with more cheers.
  </em>
 </p>
 <p>
 </p>
</div>


eInnoSys

<p><b>Job Description:</b><br/>We are looking for an experienced Data Scientist to join our team and work on predictive modeling using manufacturing process data such as temperature, pressure, and other key sensor data. The ideal candidate should have at least 2 years of hands-on experience in the manufacturing sector, with a focus on building models to predict machine component failures. You don't need to be a Python expert, but you should be proficient in data science and have a strong understanding of machine learning algorithms applied to manufacturing data.</p><p><b>Key Responsibilities:</b></p><ul><li>Analyze and model manufacturing process data (e.g., temperature, pressure, vibration, etc.) to identify trends and predict machine failures.</li><li>Develop machine learning models to predict equipment malfunctions, reduce downtime, and optimize maintenance schedules.</li><li>Work closely with engineering and operations teams to understand the dynamics of the machinery and design data-driven solutions.</li><li>Preprocess, clean, and transform raw manufacturing data into structured datasets for analysis.</li><li>Collaborate with cross-functional teams to integrate predictive models into real-time systems for continuous monitoring.</li><li>Present actionable insights from data analysis to stakeholders and recommend improvements for operational efficiency.</li><li>Monitor model performance and make improvements based on ongoing results and feedback from production environments.</li></ul><p><b>Required Qualifications:</b></p><ul><li>2+ years of experience as a Data Scientist in the manufacturing or industrial sector.</li><li>Strong knowledge of time-series analysis, anomaly detection, and predictive modeling techniques.</li><li>Experience with sensor data and process data from manufacturing machines (e.g., temperature, pressure, vibration).</li><li>Practical experience with machine learning algorithms and statistical analysis methods applied to failure prediction.</li><li>Proficient in data analysis tools such as R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow).</li><li>Strong communication skills with the ability to convey technical results to non-technical stakeholders.</li><li>Ability to work in a fast-paced, collaborative environment and solve complex operational problems.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Familiarity with cloud platforms (e.g., AWS, Azure) for data storage and analysis.</li><li>Experience with data visualization tools like Tableau or Power BI.</li><li>Understanding of predictive maintenance concepts and IoT integration.</li><li>Knowledge of MNC culture and experience working in a global environment.</li></ul><p><b>Benefits:</b></p><ul><li>5-day workweek</li><li>Flexible working hours</li><li>Supplemental Pay: Commission pay, Yearly bonus</li><li>Opportunity to work on patented products</li><li>International travel opportunities</li><li>A minimum of a 30% salary hike</li><li>MNC work culture</li><li>Month-end parties and Birthday celebrations</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;300,000.00 - &#8377;1,100,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid time off</li></ul><p>Application Question(s):</p><ul><li>What's your Current CTC</li><li>What's your Expected CTC</li></ul><p>Experience:</p><ul><li>total work: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

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