Data Scientist

We are looking for a strong Data Scientist (5-7 yrs of experience) with hands-on experience in Elasticsearch analytics, machine learning, data engineering fundamentals, and exposure to AIOps/observability ecosystems. This role will be part of an engineering-heavy team helping onboard, manage, and optimize critical applications for a major Indian banking client.

You will work with high-volume data pipelines, observability platforms, agentic AI systems, and build ML-driven insights that improve reliability, performance, and automation.

Key Responsibilities

Data Analysis & Modelling

• Perform advanced exploratory analysis and anomaly detection using data stored in Enterprise Elasticsearch clusters.• Build ML models (supervised & unsupervised) for event correlation, incident prediction, log intelligence, and capacity forecasting.• Develop automated pipelines for feature engineering, model training, deployment, and monitoring.

AIOps & Observability Engineering

• Leverage Elasticsearch, Kafka, Dynatrace, Grafana, and related tools to build data-driven insights.• Build rule-based and ML-based detectors for alerting, pattern analysis, and log/metric correlation.• Integrate models with AIOps platforms to drive automated incident insights.

Agentic AI & Automation

• Experiment with LLMs and agentic AI frameworks for Automated root-cause suggestion so Log summarization

o Knowledge retrieval

o ChatOps workflows

Engineering & Platform Work

• Work with data engineers to design scalable pipelines using Kafka, REST APIs, Python, Elasticsearch DSL.• Develop tools, scripts, and services to support model inference, dashboards, and automation workflows.

Required Skills

Technical Skills

• Strong Python for ML + data engineering (NumPy, pandas, scikit-learn, MLflow preferred).• Good experience working with Elasticsearch query DSL, index modelling, aggregations.• Understanding of Kafka for streaming data consumption/production.• Experience with AIOps or observability platforms such as Grafana, Dynatrace, Prometheus, Kibana.• Hands-on familiarity with LLMs/agentic AI, embeddings, vector search, or RAG (preferred).• Knowledge of Docker, microservices, and CI/CD is a plus.

Soft Skills

• Strong analytical mindset and problem-solving ability.• Comfortable working in a client-facing or collaborative environment.• Ability to adapt quickly to new tools, platforms, and cloud environments.

Education & Experience

• Bachelor’s/Master’s in Computer Science, Data Science, Engineering, or related fields.• 5–7 years of experience in data science or machine learning engineering roles.

Job Type: Full-time

Pay: ₹2,000,000.00 - ₹3,600,000.00 per year

Work Location: In person