data scientist

senior software engineer

data analyst

data engineer

senior data engineer

senior data scientist

Marina's clinic

<p><b>Job Title:</b> Senior Data Scientist</p><p><b>Location:</b> Chennai &ndash; Zero Gravity Photography (ZGP)<br/><b>Salary:</b> &#8377;30,000 &ndash; &#8377;40,000 per month</p><p><b>About Zero Gravity Photography (ZGP)</b></p><p>Zero Gravity Photography is a leading name in creative wedding and event photography. With innovation, precision, and creativity at our core, we aim to provide a seamless experience backed by data-driven decision-making. We are seeking a <b>Senior Data Scientist</b> to analyze, model, and generate actionable insights to enhance operational efficiency and support business growth.</p><p><b>Roles &amp; Responsibilities (R&amp;R)</b></p><p><b>Data Analysis &amp; Strategy</b></p><ul><li>Collect, clean, and analyze large datasets related to sales, marketing, operations, and customer behavior.</li><li>Translate business requirements into actionable data models and solutions.</li><li>Identify trends and patterns to improve revenue, operational efficiency, and customer experience.</li></ul><p><b>Model Development &amp; Insights</b></p><ul><li>Develop predictive models (e.g., lead conversion, retention, demand forecasting).</li><li>Provide actionable, data-backed recommendations to management.</li><li>Apply statistical and machine learning techniques to optimize campaigns and workflows.</li></ul><p><b>Collaboration &amp; Reporting</b></p><ul><li>Work closely with Sales, Marketing, and Operations teams to enable data-driven decisions.</li><li>Create dashboards and automated reports for leadership.</li><li>Present findings clearly to technical and non-technical stakeholders.</li></ul><p><b>Innovation &amp; Best Practices</b></p><ul><li>Implement best practices for data collection, storage, and security.</li><li>Continuously explore new tools and technologies for optimized analytics.</li><li>Mentor junior analysts and guide them on technical and analytical practices.</li></ul><p><b>Key Requirements</b></p><ul><li><b>Education:</b> Bachelor&rsquo;s/Master&rsquo;s in Data Science, Statistics, Computer Science, or related field.</li><li><b>Experience:</b> 3+ years as a Data Scientist or Senior Analyst.</li><li><b>Technical Skills:</b> Proficiency in Python/R, SQL, Power BI/Tableau, and ML frameworks (Scikit-learn, TensorFlow, etc.).</li><li>Strong analytical, problem-solving, and presentation skills.</li><li>Ability to manage multiple projects independently.</li><li><b>Preference:</b> <b>Female candidates preferred.</b></li></ul><p><b>Why Join ZGP?</b></p><ul><li>Directly impact a fast-growing creative industry.</li><li>Work in a dynamic, collaborative, and innovation-driven environment.</li><li>Exposure to diverse datasets, including sales, marketing, and customer behavior analytics.</li><li>Lead data initiatives for one of India&rsquo;s most recognized photography brands.</li></ul><p><b>Job Type:</b> Full-time, Permanent<br/><b>Work Location:</b> In-person<br/><b>Benefits:</b> Paid sick time, Paid time off</p><p>Job Type: Full-time</p><p>Pay: &#8377;30,000.00 - &#8377;40,000.00 per month</p><p>Benefits:</p><ul><li>Leave encashment</li><li>Paid sick time</li><li>Paid time off</li></ul><p>Work Location: In person</p>

Senior Data Scientist

Golden Eagle IT Pvt. Ltd.

<p><b>Job Description- </b></p><p><b>Designation: Data Science Developer / Senior Data Scientist</b><br/><b>Location: Indore or Pune | Onsite</b></p><p><b>Skills Required</b></p><ul><li>Data Science, Machine Learning, Deep Learning, NLP</li><li>Python, Flask, Numpy, Pandas, Scikit-learn</li><li>SQL / Stream Processing, AWS Services (S3, Lambda, SageMaker, etc.)</li><li>Generative AI (GenAI): LLMs (GPT, Claude, LLaMA, Mistral, etc.)</li><li>Frameworks &amp; Tools: LangChain, LangGraph, Vector Databases (Pinecone, Weaviate, pgvector), RAG pipelines</li><li>Agentic AI Development: AI Agents, Orchestration, Multi-Agent Systems</li><li>MCP (Model Context Protocol): Integration of external tools, APIs, and custom apps with LLMs</li><li>Deployment &amp; APIs: FastAPI / Flask for serving ML/GenAI models</li><li>Git, CI/CD, Docker, Kubernete</li></ul><p><b>Sr. Data Scientist Responsibilities</b></p><ul><li>Formulating, suggesting, and managing data-driven and GenAI-powered projects to further business interests.</li><li>Collating, cleaning, and preparing structured/unstructured data for ML, DL, and LLM fine-tuning.</li><li>Designing and deploying RAG (Retrieval-Augmented Generation) architectures and LLM-based applications.</li><li>Building and managing AI Agents using LangChain/LangGraph for workflow automation.</li><li>Experimenting with open-source and commercial LLMs (GPT, Claude, LLaMA, Mistral, etc.) for enterprise use cases.</li><li>Delegating tasks to Junior Data Scientists and guiding them on best practices in ML, DL, and GenAI.</li><li>Monitoring and mentoring teams; ensuring model performance, generalizability, and scalability.</li><li>Selecting and employing advanced ML/DL/GenAI procedures to extract actionable insights.</li><li>Producing non-technical reports and GenAI-driven dashboards for business decision-making.</li><li>Suggesting ways to integrate insights and AI agents into core business strategies.</li><li>Staying informed on cutting-edge advancements in AI/GenAI, Agentic AI, and MCP ecosystem to ensure relevance.</li></ul><p><b>Sr. Data Scientist Requirements</b></p><ul><li>Advanced degree in Data Science, Statistics, Computer Science, or similar.</li><li>Extensive experience in ML/DL/NLP and hands-on GenAI/LLM projects.</li><li>Proficiency in Python, Numpy, Pandas, Scikit-learn, and SQL.</li><li>Strong experience with LLMs, prompt engineering, fine-tuning, and RAG pipelines.</li><li>Familiarity with LangChain, LangGraph, and AI Agent development.</li><li>Experience with MCP for connecting models with external tools and services.</li><li>Demonstrable history of end-to-end AI/GenAI project ownership.</li><li>Outstanding supervision, mentorship, and cross-functional leadership abilities.</li><li>Ability to foster a collaborative AI-driven culture within the team.</li><li>Strong awareness of AI ethics, compliance, and data governance.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;968,992.94 - &#8377;2,359,250.74 per year</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Paid time off</li><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: In person</p>

Enable Data

Enable Data Incorporated is looking for a talented and experienced Senior Data Scientist to join our innovative team. In this role, you will be responsible for driving data science initiatives, developing predictive models, and providing insights that guide key business decisions. The ideal candidate has a strong background in statistical analysis, machine learning, and big data technologies, and is enthusiastic about applying data-driven solutions to complex business problems.
<br>As the Senior Data Scientist, you will collaborate closely with cross-functional teams, including engineering, product management, and business stakeholders. You will leverage your expertise to design and implement advanced analytics solutions that optimize our clients’ operations and enhance their product offerings.
<br>This is an exciting opportunity for a pro-active leader with a passion for data science and a proven track record of delivering impactful results.
<br><br>
<b>Requirements:</b><br>
<b>Required qualifications:</b><br>
<ul>
<li>6+ years of experience in data science or a related field, with a strong emphasis on machine learning and predictive modeling.</li>
<li>Proficiency in programming languages such as Python</li>
<li>Deep understanding of statistical analysis, machine learning algorithms, and data mining techniques</li>
<li>Classical Machine Learning, Statistical analysis and and Data Science</li>
<li>Hospitality experience (preferred)</li>
<li>Python libraries like Pandas, Numpy, scikit-learn, TensorFlow, Keras</li>
<li>Practical experience with Databricks</li>
<li>SQL proficiency</li>
<li>Generative AI solutions (and fine tuning) utilizing LLMs such as GPT, Claude, and LLaMA</li>
<li>Libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face</li>
</ul>


AB InBev GCC India

<div>
 <p>
  <em>
   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.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Do You Dream Big?
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   We Need You.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Title: Senior Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location: Bangalore
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Reporting to: Senior Manager Analytics
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   1) Purpose of the role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced and strategic
  <strong>
   Senior Data Scientist
  </strong>
  to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
  <strong>
   Resource Allocation Model
  </strong>
  that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 </p>
 <p>
  This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2) Key tasks &amp; accountabilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop, validate, and scale
   <strong>
    Resource Allocation Model
   </strong>
   to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
  </li>
  <li>
   Implement
   <strong>
    optimization algorithms
   </strong>
   to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
  </li>
  <li>
   Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
  </li>
  <li>
   Leverage
   <strong>
    PySpark
   </strong>
   to manage and transform large-scale retail, media, and consumer datasets.
  </li>
  <li>
   Build and deploy ML models using
   <strong>
    Python
   </strong>
   and
   <strong>
    TensorFlow
   </strong>
   , ensuring robust model performance and business relevance.
  </li>
  <li>
   Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
  </li>
  <li>
   Use
   <strong>
    GitHub Actions
   </strong>
   for version control,
   <strong>
    CI/CD workflows
   </strong>
   ,
   <strong>
    DVC for data versioning
   </strong>
   , and reproducible ML pipelines.
  </li>
  <li>
   Present findings through compelling data storytelling and dashboards for senior leadership.
  </li>
  <li>
   Mentor junior data scientists and contribute to a culture of innovation and excellence.
  </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>
 <ul>
  <li>
   Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Previous work experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5+ years
   </strong>
   of hands-on experience in data science, preferably within the
   <strong>
    FMCG
   </strong>
   or retail domain.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills required
  </strong>
 </p>
 <ul>
  <li>
   Proven track record of building and deploying
   <strong>
    Marketing Mix Models
   </strong>
   and/or media attribution models.
  </li>
  <li>
   Deep knowledge of
   <strong>
    optimization techniques
   </strong>
   (e.g., linear programming, genetic algorithms, constrained optimization).
  </li>
  <li>
   Advanced programming skills in
   <strong>
    Python
   </strong>
   (pandas, scikit-learn, statsmodels, TensorFlow).
  </li>
  <li>
   Expertise in
   <strong>
    PySpark
   </strong>
   for distributed data processing and transformation.
  </li>
  <li>
   Experience with
   <strong>
    Git
   </strong>
   and
   <strong>
    GitHub Actions
   </strong>
   for collaborative development and CI/CD pipelines.
  </li>
  <li>
   Strong grounding in statistics, experimental design (A/B testing), and causal inference.
  </li>
  <li>
   Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills required
  </strong>
 </p>
 <ul>
  <li>
   Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
  </li>
  <li>
   Exposure to cloud platforms like
   <strong>
    AWS
   </strong>
   ,
   <strong>
    GCP
   </strong>
   , or
   <strong>
    Azure
   </strong>
   .
  </li>
  <li>
   Familiarity with
   <strong>
    FMCG metrics
   </strong>
   (e.g., brand health, share of shelf, volume uplift, promotional ROI).
  </li>
  <li>
   Ability to translate complex models into business actions in cross-functional environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   And above all of this, an undying love for beer!
  </em>
 </p>
 <p>
  <em>
   We dream big to create future with more cheers
  </em>
 </p>
</div>


Infosys

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>Technical skills</li>
<li>Programming Python R SQL</li>
<li>ML algorithms</li>
<li>Statistical ML algorithms</li>
<li>Deep Neural Network architectures</li>
<li>Model ensembling</li>
<li>Generative AI models</li>
<li>ML for Responsible AI</li>
<li>AI domains NLP speech computer vision structured data</li>
<li>Learning patterns supervised unsupervised reinforcement learning</li>
<li>Tools for data analysis auto ML model deployment scaling model fine tuning</li>
<li>Knowledge of different Model fine tuning approaches for Large models</li>
<li>Knowledge of datasets pre built models available in open community and 3rd party providers</li>
<li>Knowledge of software development architectures</li>
<li>Knowledge of hyperscalers their AI capabilities Azure AWS GCP</li>
<li>Knowledge of Model Quantization and Pruning</li>
<li>Past experience playing a Data Scientist role</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Technical skills</li>
<li>Programming Python R SQL</li>
<li>ML algorithms</li>
<li>Statistical ML algorithms</li>
<li>Deep Neural Network architectures</li>
<li>Model ensembling</li>
<li>Generative AI models</li>
<li>ML for Responsible AI</li>
<li>AI domains NLP speech computer vision structured data</li>
<li>Learning patterns supervised unsupervised reinforcement learning</li>
<li>Tools for data analysis auto ML model deployment scaling model fine tuning</li>
<li>Knowledge of different Model fine tuning approaches for Large models</li>
<li>Knowledge of datasets pre built models available in open community and 3rd party providers</li>
<li>Knowledge of software development architectures</li>
<li>Knowledge of hyperscalers their AI capabilities Azure AWS GCP</li>
<li>Knowledge of Model Quantization and Pruning</li>
<li>Past experience playing a Data Scientist role</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>Technical skills</li>
<li>Programming Python R SQL</li>
<li>ML algorithms</li>
<li>Statistical ML algorithms</li>
<li>Deep Neural Network architectures</li>
<li>Model ensembling</li>
<li>Generative AI models</li>
<li>ML for Responsible AI</li>
<li>AI domains NLP speech computer vision structured data</li>
<li>Learning patterns supervised unsupervised reinforcement learning</li>
<li>Tools for data analysis auto ML model deployment scaling model fine tuning</li>
<li>Knowledge of different Model fine tuning approaches for Large models</li>
<li>Knowledge of datasets pre built models available in open community and 3rd party providers</li>
<li>Knowledge of software development architectures</li>
<li>Knowledge of hyperscalers their AI capabilities Azure AWS GCP</li>
<li>Knowledge of Model Quantization and Pruning</li>
<li>Past experience playing a Data Scientist role</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;Machine learning-&gt;data science,Technology-&gt;Machine Learning-&gt;Generative AI,Technology-&gt;Machine Learning-&gt;Python</div>

Takeda Pharmaceuticals

<div><p>By clicking the &ldquo;Apply&rdquo; button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda&rsquo;s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.</p><p></p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><p></p><p><b>
The Future Begins Here</b></p><p>
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.</p><p>
Bengaluru, the city, which is India&rsquo;s epicenter of Innovation, has been selected to be home to Takeda&rsquo;s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.</p><p><b>
At Takeda&rsquo;s ICC we Unite in Diversity</b></p><p>
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team</p><p></p><p><b>
About the role:</b></p><p>
We are seeking a forward-thinking and experienced Senior Data Scientist who excels at translating complex problem statements into data-driven insights and solutions that enable informed decision-making. As part of the PDT DD&amp;T (Data, Digital &amp; Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams across Pricing, Marketing, and Forecasting you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Lead and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives.</p><p>
You will report directly to the Data Science Lead, who will provide strategic direction.</p><p><b>
How you will contribute:</b></p><ul><li>
Support the Lead Data Scientist and team members in solving problems, analyzing data and finding solutions.</li><li>
Lead the design, development, and deployment of advanced statistical methods, data science/ML, and other quantitative techniques to solve complex business problems.</li><li>
Collaborate with cross-functional teams (Data engineers, Data Analysts, Business Analysts, Business owners) to integrate data-driven insights into business strategies and operations.</li><li>
Oversee and drive the lifecycle of statistical and AI/ML decision support solutions and products, ensuring successful and timely delivery.</li><li>
Present data-driven insights and strategic recommendations to senior management and key stakeholders.</li></ul><p><b>
Must have requirements:</b></p><ul><li>
Bachelor's degree in Math, Statistics, Applied Mathematics, or other quantitative fields (master's degree preferred).</li><li>
5+ years of relevant experience after Bachelor's degree.</li><li>
3+ years of relevant experience after a Master's or a PhD.</li><li>
Solid understanding of applied statistical modelling, applied math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing)</li><li>
Proficient in programming languages like Python, PySpark, SQL or R for data curation, transformation, analysis, modeling, and visualization tasks.</li><li>
Knowledge of AutoML platforms and emerging technologies like generative AI.</li><li>
Hands-on experience with MLOps platforms (e.g., MLflow) for managing the end-to-end lifecycle of machine learning models.</li><li>
Excellent presentation and communication skills and technical writing skills for both technical and business audiences.</li></ul><p></p><p><b>
BENEFITS:</b></p><p>
It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:</p><ul><li>
Competitive Salary + Performance Annual Bonus</li><li>
Flexible work environment, including hybrid working</li><li>
Comprehensive Healthcare Insurance Plans for self, spouse, and children</li><li>
Group Term Life Insurance and Group Accident Insurance programs</li><li>
Employee Assistance Program</li><li>
Broad Variety of learning platforms</li><li>
Diversity, Equity, and Inclusion Programs</li><li>
Reimbursements &ndash; Home Internet &amp; Mobile Phone</li><li>
Employee Referral Program</li><li>
Leaves &ndash; Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)</li></ul><p><b>
ABOUT ICC IN TAKEDA:</b></p><ul><li>
Takeda is leading a digital revolution. We&rsquo;re not just transforming our company; we&rsquo;re improving the lives of millions of patients who rely on our medicines every day.</li><li>
As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.</li></ul><p>
#Li-Hybrid</p><p></p><h2 class="jobSectionHeader"><b>
Locations</b></h2>
IND - Bengaluru<p></p><h2 class="jobSectionHeader"><b>
Worker Type</b></h2>
Employee<p></p><h2 class="jobSectionHeader"><b>
Worker Sub-Type</b></h2>
Regular<p></p><h2 class="jobSectionHeader"><b>
Time Type</b></h2>
Full time</div>

Siemens

<div><div><div><div><div><div>Job ID
</div><div>480783
</div></div><div><div>Posted since
</div><div>07-Oct-2025
</div></div><div><div>Organization
</div><div>Foundational Technologies
</div></div><div><div>Field of work
</div><div>Research &amp; Development
</div></div><div><div>Company
</div><div>Siemens Technology and Services 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><p><b>Hello Visionary!</b></p><p>
We know that the only way a business thrive is if our people are growing. That&rsquo;s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?</p><p>
We are looking for a<b> Senior Data Scientist</b></p><p></p><p>
As the Lead Data Scientist at Siemens Advanta, you will play a leading role in developing AI based solutions to address real world challenges. You will work closely with cross-functional teams to identify business challenges, deliver data-driven solutions, and provide actionable insights to optimize processes and drive innovation.</p><p><b>
You&rsquo;ll make a difference by:</b></p><ul><li>
Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise.</li><li>
Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives.</li><li>
Design, develop, and implement advanced machine learning and statistical models to solve complex business problems.</li><li>
Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis.</li><li>
Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets.</li><li>
Develop predictive/prescriptive models, algorithms, and prototypes to support business.</li><li>
Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations.</li><li>
Play an active role in software development processes.</li><li>
Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes.</li></ul><p><b>
You&rsquo;ll win us over by:</b></p><ul><li>
4+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms</li><li>
A master&rsquo;s or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field</li><li>
Strong programming skills in languages such as Python, R, or C++.</li><li>
Experience with Time Series Data Set Modelling or Sensor Data Modelling.</li><li>
Exposure to the Agriculture domain is preferred.</li><li>
Excellent analytical/statistical skills.</li><li>
Proactive and willing to learn new technologies.</li><li>
Excellent verbal, written and presentation skills.</li></ul><p><b>
Create a better #TomorrowWithUs!</b></p><p>
This role, based in Bangalore, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future.</p><p>
At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need.</p><p>
Bring your curiosity and imagination, and help us shape tomorrow</p><p>
Find out more about Siemens careers at: www.siemens.com/careers</p></div></div></div></div></div></div></div>

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