Data Scientist

Job Title: Data Scientist GenAI & ML

Experience: 2-5 Years

Location: Tharamani, Chennai

Employment Type: Fulltime

Job Summary

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning, Generative AI (GenAI), and predictive analytics to design and deploy enterprise-grade AI solutions. The role involves building end-to-end ML and GenAI systems for forecasting, optimization, explainability, and intelligent decision support, while translating complex data insights into measurable business impact.

Key Responsibilities

Machine Learning & Advanced Analytics

• Design, develop, and deploy supervised and unsupervised ML models including Logistic Regression, Decision Trees, Random Forests, SVM, K-Means, and time-series models.
• Build predictive models for KPI degradation, demand/price forecasting, classification, clustering, and anomaly detection.
• Perform feature engineering, EDA, statistical analysis, hypothesis testing, and ANOVA to drive actionable insights.
• Optimize model performance through class balancing, threshold tuning, and evaluation metrics to reduce business risk and cost.

Generative AI & Intelligent Systems

• Develop GenAI-driven forecasting and decision-support frameworks using LLMs (GPT-4 / GPT-4o-mini).
• Implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases and embeddings.
• Build agentic AI workflows for automated planning, scheduling, and inference.
• Deliver GenAI-powered explainability using SHAP + LLM-based narrative insights.

Data Engineering & Platforms

• Work with large-scale data using Python, SQL, PySpark, and Azure Databricks.
• Build scalable pipelines for data ingestion, transformation, and model deployment.
• Integrate AI solutions with enterprise systems (e.g., Primavera P6, dashboards, APIs).

Visualization & Business Enablement

• Develop dashboards and reports using Power BI and visualization libraries.
• Communicate model outputs, risks, and recommendations clearly to stakeholders.
• Partner with product, engineering, and business teams to align AI solutions with real-world requirements.

Key Achievements (Representative Impact)

• Improved RCA efficiency by 35% using ML-based KPI degradation prediction.
• Reduced CAPEX by 12% through optimized classification thresholds.
• Achieved >95% directional accuracy in commodity price forecasting.
• Improved forecast accuracy by 15% using GenAI + news impact scoring.
• Delivered AI-driven scheduling automation, generating L1L3 project plans compatible with Primavera P6.
• Enabled 28% operational cost savings via statistical analysis and optimization.

Required Skills

Technical Skills

• Programming: Python, SQL
• ML & AI: Classification, Regression, Clustering, Anomaly Detection, Time-Series
• GenAI: LLMs, RAG, Vector DBs, Agentic AI
• Data Platforms: Azure Databricks, PySpark
• Visualization: Power BI, Python visualization libraries
• Statistics: Hypothesis Testing, ANOVA, Probability, KPI Analytics

Tools & Technologies

• Azure, Databricks, Git
• SHAP, Embeddings, APIs
• Power BI, Primavera P6 (preferred)

Education

• B.Tech (Engineering)

Soft Skills

• Strong analytical and problem-solving mindset
• Ability to translate complex models into business insights
• Excellent collaboration with cross-functional teams
• Continuous learner with interest in emerging AI technologies

Interested candidates can share their profiles [ hr@inlogic.in (or) c-priyanka@inlogic.in ]

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