Analyst- Data scientist - GO/JC/4768/2026

Golden Opportunities; Maharashtra; On-site; INR 600,000 - 850,000; Full time

Job summary

Golden Opportunities in Pune, Hyderabad, Chennai, Bangalore, and Kolkata is seeking an Analyst to translate HR and workforce data needs into data science use cases. You will prepare data, engineer features, and build reusable pipelines in Python and SQL.

The role emphasizes developing predictive models and Generative AI solutions to automate tasks, explain results to stakeholders, and enhance HR analytics. A graduate with 3–6 years in IT data science is expected, with strong coding skills and

Qualifications

• Translate workforce and HR business requirements into data science use cases and measurable outcomes.
• Prepare structured and unstructured data, engineer features, and build data pipelines using Python and SQL.
• Develop and enhance statistical, predictive, and ML models using appropriate algorithms.
• Design experiments and evaluate models for performance and business relevance.
• Conduct error analysis and identify opportunities for model improvement.
• Develop Generative AI and agent-based solutions to automate tasks and augment workflows.
• Communicate methodologies, assumptions, and results clearly to stakeholders.
• Strong statistical fundamentals including regression, hypothesis testing, sampling, and feature selection.
• Proficiency in Python 3.x for data preparation and ML with SQL knowledge.
• Working knowledge of Generative AI tools and AI agents exposure.
• Proficiency in Advanced Excel and HR data understanding.
• Hands-on experience with AI-assisted tools like GitHub Copilot, Claude, Codex; VS Code.

Responsibilities

• Translate HR and business requirements into data science use cases.
• Prepare, clean, and feature-engineer data with Python and SQL.
• Build and evaluate predictive and ML models.
• Design experiments and validate model performance.
• Analyze errors and drive model improvements.
• Develop Generative AI solutions to automate tasks.
• Explain methodologies and results to stakeholders.
• Apply statistical methods to HR analytics questions.
• Collaborate with teams to implement ML solutions.
• Utilize AI tools and IDEs to accelerate development.

Skills

Data science

Machine learning

Python

SQL

LLM

Generative AI

AI agents

Advanced Excel

HR data

Education

Any graduates

Tools

GitHub Copilot

Claude

Codex

VS Code

Job description

Job Title: Analyst

Job Location: Pune, Hyderabad, Chennai, Bangalore, and Kolkata

Work Model: Work from Office

Candidate Expectations

Total Experience and Relevant Experience- 3- 6 years of experience

Candidate Location: Anywhere in India

Skills- Data science, Machine learning, Python, LLM, and generative AI

Candidate Industry: IT industry

Education and Certification

Qualification: Any graduates

Detailed Job Description

• Translate workforce and HR business requirements into well-defined data science use cases and measurable outcomes.


• Prepare structured and unstructured data, engineer relevant features, and build reusable data pipelines using Python and SQL.


• Develop and enhance statistical, predictive, and machine learning models using appropriate algorithms and techniques.


• Design experiments and evaluate models for performance, stability, reliability, and business relevance.


• Conduct error analysis, interpret model outcomes, and identify opportunities for continuous model improvement


• Develop Generative AI and agent-based solutions to automate tasks, synthesize information, and augment data science workflows


• Communicate methodologies, assumptions, limitations, and outcomes clearly to business and technical stakeholders.


• Strong statistical fundamentals, including regression, hypothesis testing, sampling, feature selection, and model evaluation.


• Proficiency in Python 3.x for data preparation, feature engineering, statistical analysis, and machine learning, with working knowledge of SQL.


• Working knowledge of Generative AI tools, with foundational exposure to developing or working with AI agents.


• Proficiency in Advanced Excel and a good understanding of HR data and workforce metrics.


• Hands‑on experience using AI‑assisted development tools such as Microsoft GitHub Copilot, Claude, or Codex, along with development environments such as Visual Studio Code.

Key Skills

Mandatory Key Skills:

• Proficiency in Python, SQL, statistical analysis, machine learning, model development and validation, structured and unstructured data handling, Generative AI fundamentals, AI agents, Advanced Excel, and understanding of HR data and workforce metrics, along with strong problem‑solving, communication, and collaboration skills.

Good to Have Skills:

• Hands‑on experience in classification, regression, clustering, NLP, time‑series modelling, hyperparameter tuning, cross-validation, model explainability, responsible AI, prompt engineering, RAG, agent‑based workflows, AI‑assisted development tools such as GitHub Copilot or Claude, VS Code, version control, and HR analytics use cases such as attrition prediction and talent analytics.