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Data science Engineer

People Prime Worldwide

2 - 5 years

Hyderabad

Posted: 10/01/2026

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Job Description

Job Title: Data Science Engineer

Location: Hyderabad

Experience: 5 10 Years

Employment Type: Full-time / Permanent

Notice Period: Immediate to 30 Days

Education: BE / B.Tech / MCA


About the Company:

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.


Job Description

Must-Have Skills:

  • Python (Advanced)
  • Machine Learning & Statistical Modeling
  • Time Series Forecasting (ARIMA, SARIMA)
  • Deep Learning: RNN, LSTM, GRU
  • IoT Sensor Data Analytics
  • ML Pipelines & Model Deployment
  • NLP & Computer Vision
  • LLM / SLM frameworks (LangChain, LangGraph, HuggingFace)
  • Production-scale Data Science
  • Data Engineering & Cloud Exposure


Minimum Qualifications:

  • Bachelors or Masters degree in Computer Science or a related field
  • 45+ years of industry experience in Data Science & Applied Machine Learning
  • Strong programming experience in Python with ML frameworks
  • Hands-on experience in time series modeling for IoT data
  • Experience working with large-scale, production datasets


Preferred Qualifications:

  • AI/ML certifications
  • Experience in predictive and prescriptive analytics
  • Exposure to cloud platforms and modern data engineering tools
  • Experience building customer-facing AI solutions
  • Prior experience mentoring or leading a small technical team


Responsibilities:

  • Design, build, and deploy machine learning and statistical models for forecasting, prediction, recommendation, and anomaly detection
  • Develop and optimize time series forecasting models for IoT sensor data using traditional and deep learning approaches
  • Own the end-to-end data science lifecycle , from data exploration to production deployment and monitoring
  • Build and maintain scalable ML pipelines for training and inference
  • Apply NLP, Computer Vision, and multimodal AI techniques in real-world solutions
  • Implement LLM/SLM-based applications using LangChain, LangGraph, and HuggingFace
  • Collaborate with data engineering, product, and platform teams for system integration
  • Provide technical leadership and mentorship to a team of 56 data science engineers
  • Participate in customer discussions to understand requirements and present solutions


Important Note (Please Read Before Applying)

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