Data Scientist

Viraaj HR Solutions Private Limited; Ernakulam; Hybrid; INR 800,000 - 1,600,000; Full time

Benefits offered by this job

Hybrid work flexibility

Kaggle sponsorships

Certification reimbursements

Job summary

Viraaj HR Solutions Private Limited is seeking a skilled ML engineer/data scientist to design, train and deploy models that drive business outcomes for enterprise clients. You will translate KPIs into data-driven hypotheses, build scalable data pipelines, and develop dashboards with Power BI/Tableau while collaborating with engineering on MLOps and cloud deployment.

You will work across marketing, risk, and operations, using Python, SQL, and modern ML tools to deliver measurable business impact

Qualifications

• Proficient in Python and ML libraries (scikit-learn, NumPy, pandas).
• Experience building and evaluating ML models (classification/regression).
• Strong SQL and data cleaning skills.
• Experience creating dashboards with Power BI or Tableau.
• Familiarity with cloud ML deployment (MLOps) on AWS/GCP/Azure.

Responsibilities

• Design, train, and deploy ML models to solve business problems across marketing, risk, and operations.
• Translate KPIs into data-driven hypotheses and build feature sets with rigorous validation.
• Collaborate with engineering to productionize models via MLOps pipelines on cloud platforms.
• Develop dashboards and visualizations to communicate insights to non-technical stakeholders.
• Perform EDA, clean data, and engineer scalable data pipelines using SQL, Python, and PySpark.
• Stay current with emerging ML techniques and propose innovation pilots.

Skills

Python

Scikit-learn

Pandas

NumPy

SQL

Machine Learning

Statistical Modeling

Power BI

Tools

PySpark

TensorFlow / PyTorch

HuggingFace / LangChain

Tableau

Job description

About The Opportunity

A fast-scaling AI & Analytics firm operating at the intersection of enterprise data science and business intelligence, we empower Fortune 500 and mid-market clients across BFSI, Retail, and Healthcare to drive data-led transformation. Our data scientists architect predictive models, automate decision-making frameworks, and extract actionable insights from petabyte-scale structured and unstructured datasets—deploying solutions that directly impact revenue, cost, and customer experience.

A fast-scaling AI & Analytics firm operating at the intersection of enterprise data science and business intelligence, we empower Fortune 500 and mid-market clients across BFSI, Retail, and Healthcare to drive data-led transformation. Our data scientists architect predictive models, automate decision-making frameworks, and extract actionable insights from petabyte-scale structured and unstructured datasets—deploying solutions that directly impact revenue, cost, and customer experience.

Role & Responsibilities

• Design, train, and deploy machine learning models (classification, regression, clustering) to solve core business problems across marketing, risk, and operations.
• Translate business KPIs into data-driven hypotheses, build feature sets, and validate model performance using statistical rigor and A/B testing.
• Collaborate with engineering teams to productionize models using MLOps pipelines on cloud platforms (AWS/GCP/Azure).
• Develop dashboards and visualizations (Power BI/Tableau) to communicate insights to non-technical stakeholders with narrative-driven storytelling.
• Perform exploratory data analysis (EDA), clean raw datasets, and engineer scalable data pipelines using SQL, Python, and PySpark.
• Stay current with emerging ML techniques (LLMs, NLP, time-series forecasting) and propose innovation pilots aligned with business goals.

Skills & Qualifications

• Must-Have
• Python
• Scikit-learn
• Pandas
• NumPy
• SQL
• Machine Learning
• Statistical Modeling
• Power BI
• Preferred
• PySpark
• TensorFlow / PyTorch
• LLM fine-tuning (HuggingFace, LangChain)

Benefits & Culture Highlights

• Work directly with global clients on high-impact projects—your models shape real business outcomes.
• Access to continuous upskilling via internal AI labs, Kaggle sponsorships, and certification reimbursements.
• Hybrid work flexibility, performance-linked bonuses, and rapid promotion paths for top performers.

Skills: python,models,machine learning,data