Analyst- Data scientist
Location: Bengaluru, Chennai, Coimbatore, Gurugram, Hyderabad, Indore, Kochi, Kolkata, Mangaluru, Mumbai, Pune
• Experience: Mid Level
• Openings: 1
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.
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.