Data Scientist

NectarIT Technologies Private Limited; Coimbatore District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

NectarIT Technologies Private Limited is seeking a Data Scientist in Coimbatore to turn IoT and enterprise data into predictive models and actionable insights. You will work with AI, data engineers, and product teams to build data-driven features that power Nectar's AI-first platform.

You will analyze large datasets, develop and validate ML models, and design experiments while implementing dashboards for stakeholders.

Qualifications

• 1-3 years hands-on experience in Data Science or related roles.

Responsibilities

• Analyze large volumes of structured/unstructured data to identify patterns and business insights.
• Develop, validate, and deploy machine learning models for prediction and anomaly detection.
• Build data-driven features to enhance Nectar's product platform.
• Collaborate with AI/Data Engineers to productionize models.
• Create dashboards and visualizations to communicate insights to stakeholders.
• Monitor model performance and ensure data quality throughout the lifecycle.

Skills

Python

SQL

Statistics

EDA

Feature engineering

ML models

Cloud basics

Data visualization

Education

Bachelor's or Master's in CS/DS/Statistics

Tools

Matplotlib

Plotly

Power BI

Tableau

MLflow

Docker

Git

CI/CD

Job description

NectarIT Technologies Private Limited | Full time

Data Scientist

Coimbatore, India | Posted on 06/24/2026

Nectar is an AI-first product company building intelligent platforms that transform how enterprises leverage AI, automation, and connected technologies. Our products combine Generative AI, Agentic AI, IoT, and cloud-native technologies to deliver intelligent, scalable, and secure experiences for customers worldwide.

At Nectar, we continuously innovate and enhance our core product platform, enabling organizations to unlock actionable insights, automate operations, and make data-driven decisions in real time.

What You'll Build

As a Data Scientist at Nectar, you will help build intelligent capabilities that power our core product platform. You will work with large volumes of IoT, operational, and enterprise data to develop predictive models, generate actionable insights, and create data-driven features that directly enhance customer experiences.

You will collaborate closely with AI engineers, data engineers, product managers, and domain experts to transform complex data into scalable product capabilities. This role offers an exciting opportunity to work at the intersection of Data Science, Artificial Intelligence, IoT, and real-time analytics.

Key Responsibilities

• Analyze large volumes of structured and unstructured data to identify patterns, trends, and business insights.
  
• Develop, validate, and deploy machine learning models for prediction, classification, anomaly detection, and optimization use cases.
  
• Build data-driven features that enhance Nectar's core product platform.
  
• Work with IoT and operational datasets to generate predictive insights and intelligent recommendations.
  
• Perform exploratory data analysis (EDA) to uncover opportunities for product improvements.
  
• Collaborate with AI Engineers and Data Engineers to productionize machine learning models.
  
• Design and evaluate experiments, model performance metrics, and statistical analyses.
  
• Develop dashboards, reports, and visualizations to communicate insights to technical and business stakeholders.
  
• Monitor model performance and continuously improve accuracy, reliability, and business impact.
  
• Ensure data quality, reproducibility, and best practices throughout the data science lifecycle.
  
• Stay up to date with advancements in Machine Learning, Generative AI, and applied data science.
  

Requirements

What You Bring

Required Experience

• 1-3 years of hands-on experience in Data Science, Machine Learning, Analytics, or related roles.
  
• Strong programming skills in Python and SQL.
  
• Experience building and evaluating machine learning models using real-world datasets.
  
• Strong understanding of statistics, probability, and machine learning fundamentals.
  
• Experience with data analysis, feature engineering, and model evaluation techniques.
  
• Familiarity with supervised and unsupervised learning algorithms.
  
• Experience working with large datasets and data preprocessing techniques.
  
• Understanding of data visualization and storytelling principles.
  
• Basic understanding of cloud platforms such as AWS, Azure, or GCP.
  
• Strong analytical thinking and problem-solving abilities.
  
• Good communication and collaboration skills with the ability to work in cross-functional product teams.
  

Technical Expertise

• Programming Languages: Python, SQL
  
• Machine Learning: Regression, Classification, Clustering, Time Series Forecasting, Anomaly Detection
  
• Data Analysis & Visualization: Matplotlib, Plotly, Power BI, Tableau
  
• Statistics & Experimentation: Hypothesis Testing, A/B Testing, Statistical Modeling
  
• Cloud Platforms: AWS, Azure, or GCP
  
• MLOps & Deployment: MLflow, Docker, Git, CI/CD (preferred)
  
• Generative AI (Preferred): LLM Fundamentals, Prompt Engineering, Embeddings
  

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Relevant certifications or hands-on project experience in Machine Learning, Data Science, or AI will be an added advantage.

Preferred Qualifications

• Experience working with IoT, telemetry, or sensor-generated datasets.
• Familiarity with time-series analysis and forecasting techniques.
• Exposure to Generative AI, LLMs, or Retrieval-Augmented Generation (RAG) concepts.
• Experience deploying machine learning models into production environments.
• Contributions to open-source projects, technical blogs, Kaggle competitions, or research initiatives are highly desirable.

Why You'll Love Working at Nectar

• Build intelligent features that directly enhance Nectar's AI-powered platform.
• Work on challenging problems involving Machine Learning, AI, IoT, and real-time analytics.
• Collaborate with a passionate and innovative product engineering team.
• Gain end-to-end exposure from data exploration and model development to deployment and continuous improvement.
• Continuous learning opportunities, certifications, and career growth in Data Science and AI.
• Work in a fast-paced environment where your contributions have visible and lasting impact.

Culture & Values

Nectar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to gender, gender identity, sexual orientation, religion, disability, age, marital status, caste, or any other protected characteristic. We are committed to building a diverse, inclusive, and respectful workplace where innovation thrives through different perspectives and experiences.