Job overview
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
- Work mode
- On-site
- Salary
- Not disclosed
- Category
- IT & Technology
- Posted
- Valid through
At a glance by CareerCola
- Company
- Subex
- Role
- Manager - Data Science
- Location
- Bengaluru, Karnataka, India
- Employment type
- Full-time
- Work mode
- On-site
- Category
- IT & Technology
- Posted
- 15 Oct 2026
- Valid through
- 14 Nov 2026
About the role
Subex is hiring Manager – Data Science!!
Subex | [Bangalore., India] | Full-time
Fight fraud with AI. Lead the team that builds it.
At Subex, we help telecom operators stay ahead of fraud and revenue leakage. We're looking for a hands-on Data Science leader to own our AI/ML practice across fraud detection, customer intelligence, and telecom product analytics, from problem framing to production deployment.
This role sits at the intersection of classical machine learning, Generative AI, and business strategy. You'll lead a team of 5-10 data scientists and ML engineers while staying close to the code.
What You'll Do
- Mentor and develop data scientists and ML engineers at different experience levels
- Set the data science roadmap aligned with fraud, revenue assurance, and product goals
- Partner with product, engineering, and business teams to turn ambiguous problems into ML solutions
- Build a culture of experimentation, code quality, and continuous learning
Build fraud and risk models
- Oversee production-grade models for subscription fraud, SIM swap, roaming abuse, account takeover, and more, using XGBoost, Random Forests, anomaly detection, and graph-based methods
- Ensure robust monitoring, drift detection, and feedback loops
- Evaluate and integrate GenAI (LLMs, RAG, agentic workflows) for fraud investigation, alert triage, and pattern discovery
Drive ML and GenAI delivery
- Guide end-to-end development of classical ML and GenAI solutions
- Champion MLOps practices: model versioning, CI/CD for ML, feature stores, and experiment tracking
- Track research and industry trends and apply them to telecom use cases
Champion data-driven decisions
- Establish metrics frameworks, KPIs, and self-serve dashboards for product and operations teams
- Work with BI engineers and analysts on data quality, lineage, and governance
What You Bring
Must have
- 8-12 years in data science or ML engineering, including 2-3 years in a people management or technical lead role
- Strong hands-on expertise in classical ML: supervised and unsupervised learning, feature engineering, model evaluation
- Proven experience building fraud or anomaly detection systems in production
- Working knowledge of GenAI: LLMs, prompt engineering, RAG, or fine-tuning
- Proficiency in Python (scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL
- Experience with AWS, GCP, or Azure and ML infrastructure (MLflow, SageMaker, Vertex AI, or similar)
- Strong communication skills, including presenting to senior leadership
Good to have
- Experience in telecom, fintech, or payments
- Graph analytics or network-based fraud modeling
- Real-time scoring and streaming (Kafka, Spark Streaming)
- LangChain, LlamaIndex, or agentic AI experience
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related field
The Leader We're Looking For
- Equally comfortable in a model architecture review and a business strategy meeting
- Leads by example: reviews pull requests, challenges model assumptions, and debugs pipelines when needed
- Owns outcomes and prioritizes ruthlessly in a fast-moving environment
- Influences across functions without relying on authority
How to Apply
Send your resume to hamina.dadra@subex.com with the subject line "Application – Manager, Data Science".
About Subex
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