Join Deloitte Cyber to help organizations navigate an evolving threat landscape through analytics, machine learning, and cyber-focused innovation. As a Consultant, you will support the design and delivery of data-driven solutions that strengthen cyber threat detection, response, and resilience. This role offers the opportunity to work with cyber specialists, data scientists, and technology professionals to develop scalable solutions across cloud and analytics environments.
Work you'll do
As a Consultant on the Cyber Defense & Resilience team, you will be responsible for:
- Supporting the design and documentation of machine learning, statistical, and analytics-based cybersecurity use cases
- Evaluating and applying machine learning, statistical, and analytic approaches to address cyber use case requirements
- Building and preparing data sets for modeling through extract, transform, and load activities, feature engineering, and SQL-based data processing
- Developing analytics and machine learning models, workflows, and visualizations using Python, Spark, and visualization tools
- Supporting cyber threat detection, response, and resilience initiatives through cloud-based analytics solutions across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)
The team
Cyber Defense & Resilience teams assist clients in defending against advanced threats by transforming security operations, and by monitoring technology, data analytics, and threat intelligence. They help manage and protect dynamic attack surfaces and provide rapid crisis and cyber incident response, thereby ensuring that clients can be ready for, respond to, and recover from business disruptions. Examples of work include Operational Resilience, Crisis & Incident Response, and Security Operations Center Transformation.
Location: Bangalore, Hyderabad, Pune, Chennai
Shift Timings: General
Qualifications
Required:
- Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, or another quantitative field; or equivalent work experience in a quantitative role
- 3-6 years of experience developing machine learning models for anomaly detection
- Experience developing solutions or experiments using supervised, unsupervised, and semi-supervised machine learning methods
- Experience using Python, Spark, and SQL for data processing, modeling, and analytics workflows
- Experience working in cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience developing analytic visualizations using Microsoft Power BI or Tableau
- Experience in cybersecurity, security operations, or risk management domains
Preferred:
- Experience working in a consultative, product delivery, or Agile technology environment
- Experience supporting distributed or remote team delivery models
- Understanding of cybersecurity use case frameworks
#Cyber_Defense & Resilience