Lead Data Scientist

Tech Mahindra • Information Technology • Professional Services • 1 day ago
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Salary
≈ $24k – $53k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match

Tech Mahindra

Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
techmahindra.com • HQ: Pune, India • Professional Services • Information Technology • Systems Integrators • Business Process Outsourcing (BPO) • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Est. 1986
Tech stack of Tech Mahindra
Backed by Seafund

Job Description

  • Skill Set :

    Data Science Essentials

  • Total Experience :

    7.00 to 10.00 Years

  • No of Openings :

    1

  • Job Post Date :

    23/09/2026

  • Job Expiry Date :

    31/10/2026

  • Domain :

    IT

  • Location :

    HYDERABAD [India]

  • Job Reference No :

    4108925

Job Summary

Data Scientist - Anomaly Detection & MLOps

Role Overview

We are looking for a hands on Data Scientist to design, develop, and deploy advanenvironments.

Key Responsibilities

·Develop and implement anomaly detection algorithms to identify unusual patterns, outliers, risks, or emerging trends in structured and semi structured datasets.

·Perform deep exploratory data analysis (EDA) and apply advanced statistical techniques to generate actionable insights.

·Design and build robust feature engineering pipelines for machine learning applications.

·Develop, evaluate, and optimize machine learning models for performance, scalability, and interpretability.

Experience: 4‿8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related roles.

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