Data Scientist at Apple, Hyderabad
📍 Hyderabad, Telangana
💼 Full-time
🏠 On-site
🎓 Experience: 4+ years
₹ Salary: Not disclosed
🕒 Posted 10 Nov 2026
About the job
Apple is hiring a Data Scientist in Hyderabad for its Decision Intelligence team, which supports the Apple Sales organization. The role needs 4+ years of experience in data science, data analysis or data visualization, plus hands-on work with LLMs, RAG and prompt engineering.
You will build machine learning models and automated insight pipelines that help sales teams spot opportunities, diagnose performance issues and act on recommendations. These insights feed AI agents, dashboards and GenAI-powered tools.
Job Details
- Company: Apple
- Role: Data Scientist
- Team: US Decision Intelligence, Apple Sales
- Location: Hyderabad, Telangana, India
- Experience: 4+ years
- Salary: Not disclosed
- Weekly hours: 40
- Industry: Software and Services
- Role number: 200692863-1052
- Posted: 10 November 2026
What You’ll Do
- Lead insight development end to end, from data preparation and statistical analysis to LLM prompt engineering that turns findings into sales-ready insights.
- Design and deploy ML models for forecasting, anomaly detection, attribution modeling and causal inference. You can build custom models or adapt Apple’s existing ML services.
- Build root cause analysis (RCA) and recommendation engines that improve summarization and chatbot features.
- Analyze agent interactions and run LLM evaluation pipelines that measure factual accuracy, latency and user satisfaction.
- Support experimentation and A/B testing for new insight types and interaction methods.
- Work with AI engineers and product managers to scale features across regions and tools.
- Act as a data translator between analysts, data engineers, software developers and business stakeholders.
- Influence upstream data model design, drive KPI definitions and build your own data solutions when needed.
What You Need
- 4+ years of experience in a data science, data analysis or data visualization role.
- Hands-on experience with LLMs, RAG architectures and prompt engineering.
- Strong Python skills and experience with ML and data science libraries.
- Applied knowledge of statistical analysis, predictive modeling, classification, time series, sampling methods, multivariate analysis, hypothesis testing and drift analysis.
- SQL skills and experience with cloud data platforms such as Snowflake, Spark or BigQuery.
- Data visualization expertise with tools such as Tableau, d3 or plotly. Tableau Server, TabPy and Extensions experience is a plus.
- Experience with Git and collaborative development workflows.
- Familiarity with deployment tools such as Docker, Kubernetes or FastAPI.
- Comfort with ambiguity and the ability to structure complex analysis.
- Proven ability to turn business problems into technical solutions and explain findings to non-technical stakeholders.
- Experience working with data scientists and software engineers in production environments.
- Strong time management and the ability to balance competing priorities, long-term projects and ad hoc requests.
Eligible Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning or a related field.
Preferred Skills
- Production experience with GenAI frameworks such as LangChain, LlamaIndex or Haystack.
- Familiarity with LLM observability and evaluation tools such as LangSmith, Weights & Biases or TruLens.
- Experience with vector databases, embedding models and retrieval algorithms.
- Knowledge of agent architectures and knowledge graphs for LLM applications.
- Experience with CI/CD pipelines and MLOps practices.
- Experience with drift detection and model monitoring in production.
- A record of presenting insights to senior leadership and influencing business strategy.
- Strong communication skills and the ability to build trust with senior stakeholders.
- Master’s or Ph.D. in Economics, Electrical Engineering, Statistics, Data Science or a similar quantitative field.
How to Apply
- Check that you meet the minimum qualifications.
- Use Apply on Original Source ↗ at the top of this job page and follow the application instructions.
- Quote role number 200692863-1052 if you contact Apple about this job.
Before You Apply
- Prepare examples of LLM, RAG and prompt engineering work.
- Be ready to explain forecasting, anomaly detection or causal inference projects in plain language.
- Keep a short summary of a dashboard or insight you delivered to business teams.
Skills
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Job Details
Company
Apple
Location
Hyderabad, Telangana
Category
IT & Software
Experience
4+ years
Job Type
Full-time
Work Mode
On-site
Experience Level
4–5 Years
Salary
Not disclosed
Application deadline
10 Dec 2026
About Apple
Apple designs and sells consumer electronics, software and online services. This role sits in Apple’s Sales organization, in the US Decision Intelligence team.
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Disclaimer
JobsInHyd is a job discovery platform and is not the employer or recruiter for this position. Job details are sourced from the original application source and may change. Please verify the latest information before applying.
JobsInHyd does not guarantee hiring outcomes.Data Scientist at Apple, Hyderabad
Apple
Hyderabad, Telangana
4+ years
Full-time,
On-site,
4–5 Years,
Not disclosed
Data Science,
Data Visualization,
Large Language Models (LLMs),
Machine Learning,
MLOps,
Python,
SQL,
Statistical Analysis,
IT & Software,
Apple Careers
Company Careers
https://jobs.apple.com/en-in/details/200692863-1052/data-scientist
Apple is hiring a Data Scientist in Hyderabad for its Decision Intelligence team, which supports the Apple Sales organization. The role needs 4+ years of experience in data science, data analysis or data visualization, plus hands-on work with LLMs, RAG and prompt engineering.
You will build machine learning models and automated insight pipelines that help sales teams spot opportunities, diagnose performance issues and act on recommendations. These insights feed AI agents, dashboards and GenAI-powered tools.
Job Details
- Company: Apple
- Role: Data Scientist
- Team: US Decision Intelligence, Apple Sales
- Location: Hyderabad, Telangana, India
- Experience: 4+ years
- Salary: Not disclosed
- Weekly hours: 40
- Industry: Software and Services
- Role number: 200692863-1052
- Posted: 10 November 2026
What You’ll Do
- Lead insight development end to end, from data preparation and statistical analysis to LLM prompt engineering that turns findings into sales-ready insights.
- Design and deploy ML models for forecasting, anomaly detection, attribution modeling and causal inference. You can build custom models or adapt Apple’s existing ML services.
- Build root cause analysis (RCA) and recommendation engines that improve summarization and chatbot features.
- Analyze agent interactions and run LLM evaluation pipelines that measure factual accuracy, latency and user satisfaction.
- Support experimentation and A/B testing for new insight types and interaction methods.
- Work with AI engineers and product managers to scale features across regions and tools.
- Act as a data translator between analysts, data engineers, software developers and business stakeholders.
- Influence upstream data model design, drive KPI definitions and build your own data solutions when needed.
What You Need
- 4+ years of experience in a data science, data analysis or data visualization role.
- Hands-on experience with LLMs, RAG architectures and prompt engineering.
- Strong Python skills and experience with ML and data science libraries.
- Applied knowledge of statistical analysis, predictive modeling, classification, time series, sampling methods, multivariate analysis, hypothesis testing and drift analysis.
- SQL skills and experience with cloud data platforms such as Snowflake, Spark or BigQuery.
- Data visualization expertise with tools such as Tableau, d3 or plotly. Tableau Server, TabPy and Extensions experience is a plus.
- Experience with Git and collaborative development workflows.
- Familiarity with deployment tools such as Docker, Kubernetes or FastAPI.
- Comfort with ambiguity and the ability to structure complex analysis.
- Proven ability to turn business problems into technical solutions and explain findings to non-technical stakeholders.
- Experience working with data scientists and software engineers in production environments.
- Strong time management and the ability to balance competing priorities, long-term projects and ad hoc requests.
Eligible Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning or a related field.
Preferred Skills
- Production experience with GenAI frameworks such as LangChain, LlamaIndex or Haystack.
- Familiarity with LLM observability and evaluation tools such as LangSmith, Weights & Biases or TruLens.
- Experience with vector databases, embedding models and retrieval algorithms.
- Knowledge of agent architectures and knowledge graphs for LLM applications.
- Experience with CI/CD pipelines and MLOps practices.
- Experience with drift detection and model monitoring in production.
- A record of presenting insights to senior leadership and influencing business strategy.
- Strong communication skills and the ability to build trust with senior stakeholders.
- Master’s or Ph.D. in Economics, Electrical Engineering, Statistics, Data Science or a similar quantitative field.
How to Apply
- Check that you meet the minimum qualifications.
- Use Apply on Original Source ↗ at the top of this job page and follow the application instructions.
- Quote role number 200692863-1052 if you contact Apple about this job.
Before You Apply
- Prepare examples of LLM, RAG and prompt engineering work.
- Be ready to explain forecasting, anomaly detection or causal inference projects in plain language.
- Keep a short summary of a dashboard or insight you delivered to business teams.
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