Data Scientist

Nxtwave Disruptive Technologies; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

NxtWave Disruptive Technologies is seeking a data science professional to lead ML initiatives, build predictive models, and generate business insights from structured and unstructured data. You will work with Python ecosystems (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and deploy models via REST APIs.

You'll optimize models for accuracy and scalability, collaborate with product and engineering teams, and ensure governance and security compliance across data solutions.

Qualifications

• Hands-on data science, ML, predictive analytics experience.
• Strong Python expertise with wide library use.
• Experience with data preprocessing and feature engineering.
• Experience deploying and evaluating ML models.
• Knowledge of ML algorithms, statistics, and forecasting.
• Experience with Generative AI, LLMs, and AI solutions.
• Ability to analyze structured and unstructured data.
• Proficient with SQL/NoSQL, data warehouses, and big data tech.
• Experience building REST APIs for AI/ML model integration.
• Knowledge of AWS, Docker, and Kubernetes.

Responsibilities

• Develop and deploy ML models for business insights.
• Preprocess data, engineer features, and evaluate models.
• Collaborate with product, engineering, and stakeholders.
• Ensure data governance, quality, and security compliance.

Skills

Data Science

Machine Learning

Python

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model development

Deployment

Evaluation

ML algorithms

Statistics

Probability

Forecasting

Optimization

Generative AI

LLMs

AI solutions

Structured data

Unstructured data

SQL

NoSQL

Data warehouses

Big data

REST APIs

AWS

Docker

Kubernetes

Model optimization

Data governance

Data quality

Data security

Data compliance

Stakeholder collaboration

Tools

Neo4j

Job description

NxtWave Hiring for a Client

Job Description

• Hands‑on experience in Data Science, Machine Learning, Predictive Analytics
• Strong expertise in Python with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
• Experience in data preprocessing, feature engineering, model development, deployment, and evaluation
• Strong knowledge of Machine Learning algorithms, statistics, probability, regression, hypothesis testing, forecasting, and optimization
• Experience with Generative AI, Large Language Models (LLMs), and AI solutions
• Ability to analyze structured & unstructured data and generate business insights
• Hands‑on experience with SQL, NoSQL databases, data warehouses, and big data technologies
• Experience building and deploying REST APIs for AI/ML model integration
• Knowledge of cloud platforms (AWS) and containerization tools like Docker & Kubernetes
• Experience optimizing ML models for accuracy, scalability, and performance
• Understanding of data governance, data quality, security, and compliance
• Strong collaboration skills with business stakeholders, product managers, and engineering teams

Good to Have:

• Experience with Graph databases (Neo4j), graph modeling
• Knowledge of fraud detection, entity matching, identity resolution
• Exposure to data governance frameworks and enterprise AI solutions