Sr. Consultant - Advanced Analytics

We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte's clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success-and to the strength of the economy and public security.

By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today's world by organizations across a range of industry sectors and become subject matter experts in those areas.

Our Regulatory Risk & Forensic professionals help organizations address complex regulatory, financial, and operational risks—from financial crime, fraud, and anti-money laundering to investigations, disputes, discovery, and regulatory compliance. We combine deep industry and forensic expertise with data, AI, GenAI, and advanced analytics to help clients identify and investigate misconduct, strengthen compliance and control environments, and respond to regulatory and business challenges. Our teams support clients through transformation, remediation, and ongoing risk management, turning complex data and emerging technologies into actionable insights that help prevent and address risk.

Work you'll do

As a Senior Consultant on the Regulatory Risk & Forensic team, you will be responsible for:

• Analyze client requirements, perform gap analysis, and translate business needs into AI, GenAI, data, and analytics solutions.
• Design and develop data engineering pipelines that integrate and consolidate data from heterogeneous sources; perform data preparation, preprocessing, feature engineering, analysis, and visualization to support modeling and business insights.
• Develop and enhance machine learning, advanced analytics, and GenAI solutions; integrate AI-enabled capabilities into existing business processes, applications, and digital platforms.
• Support cloud deployment and containerization using Docker and Kubernetes; deploy, monitor, troubleshoot, and maintain ML and GenAI pipelines using MLOps practices.
• Collaborate with clients and engagement teams to coordinate project delivery, document workflows, solution designs, and experiments, review deliverables, contribute to solution architecture and technical design discussions, and support practice development activities.

The team

Regulatory Risk & Forensic

We help clients uncover, understand, and address complex risk and forensic challenges. Combining deep domain expertise with AI, GenAI, and advanced analytics, we turn data into insight and action—strengthening resilience in a rapidly changing world.

At Deloitte, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) capability to enhance existing services and empower our clients. Our focus is on bringing data, AI/ML, and technology together with our deep expertise in multiple industries to drive new product development and significant automation/efficiencies.

We are seeking to grow our team with brilliant and diverse contributors with strong technical ability. We are looking for talented Machine Learning Engineers with experience in software engineering and applying machine learning to solve complex problems. Ideal candidates will have experience with a variety of machine learning methods, with demonstrated depth in at least one area. Candidates should have experience delivering stable, high-performance production code and be eager to contribute significantly as part of a team.

Location: Hyderabad, Bangalore

Shift Timings: Regular shift

Qualifications

Required:

• 6–8 years of experience in data science, machine learning, generative artificial intelligence (GenAI), advanced analytics, data engineering, or artificial intelligence solution development, including management, processing, and analysis of transactional and historical data. Project experience in banking, financial crime/anti-money laundering (AML), fraud, forensic investigations, internal audit, regulatory compliance, risk management, cybersecurity, or accounting, including application of AI/GenAI to regulatory, risk, compliance, or investigative use cases.
• Experience using Python and at least one of R, Java, or C++; Structured Query Language (SQL) for queries, stored procedures, views, query optimization, indexing, partitioning, and performance tuning; and Power BI or Tableau for dashboard development.
• Experience translating client and business requirements into artificial intelligence and machine learning (AI/ML) and analytics solutions through requirements analysis, solution design, development, testing, deployment, and documentation.
• Experience building machine learning models using data preparation, feature engineering, model development, validation, hyperparameter tuning, and evaluation with scikit-learn, PyTorch, TensorFlow, or Keras.
• Experience developing generative artificial intelligence (GenAI) and large language model (LLM) solutions using prompt engineering, structured prompting, grounding, response evaluation, retrieval-augmented generation (RAG), or model customization/fine-tuning; and integrating models into enterprise applications and business workflows through application programming interfaces (APIs) and orchestration frameworks.
• Experience designing and developing data engineering pipelines to ingest, transform, integrate, and process structured and unstructured data from heterogeneous sources; processing datasets using Apache Spark or Hadoop; and working with vector databases.
• Experience using Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); Git; continuous integration/continuous delivery (CI/CD); Docker; Kubernetes; automated testing; deployment; monitoring; and logging. Experience addressing scalability, reliability, security, observability, performance, latency, and cost optimization in production AI systems; applying Responsible AI practices, including bias detection, fairness assessments, and compliance controls; and holding a certification in AWS, Microsoft Azure, Google Cloud, Databricks, Data Engineering, Data Analytics, AI/ML, or GenAI.

Preferred:

• Bachelor’s or master's or advanced certifications in Information Technology, Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, and related fields.
• Experience using React or Angular.
• Experience explaining financial modeling and valuation concepts in client-facing presentations.
• Experience managing projects and delivering training or mentoring.
• Experience structuring business problems, translating analyses into business stories, developing technical documentation, and delivering executive-level presentations to technical and nontechnical stakeholders.

Review notes

• The locked team language refers to “Machine Learning Engineers,” while the job posting title is Senior Consultant. It also includes “brilliant and diverse contributors” and the phrase “success-and,” which may warrant hiring-manager review for title alignment, inclusive language, and proofreading. These were retained unchanged because they are locked.
• I converted non-objective skills into resume-verifiable experience-based qualifications and retained the protected degree wording exactly as directed.