Deloitte | Data Scientist | Chennai | Bharat | | 2023-02-17

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Job Location: Chennai

Job Detail:

Job title: Data Scientist – Machine Text Vision – Consultant or Sr. Consultant

At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk Management field. 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 Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and RPA to solve.
Deloitte’s clients‘most complex issues. Working in Risk and Financial Advisory at Deloitte US-India offices has the power to redefine your ambitions.

The Team

Regulatory & Legal Services
We help organizations in their efforts to achieve regulatory and legal compliance and transform their departments to add greater value to the business. We combine highly specialized skills in discovery and data management, corporate investigations, Foreign Corrupt Practices Act, and anti-fraud with financial acumen and advanced analytics to produce transformative insights.
In today’s global marketplace, organizations can become vulnerable to critical incidents that include international corruption, financial crime, enterprise fraud, cybercrime, and supply chain breakdowns. Utilizing market-leading technology to uncover latent possibilities, our team advises clients on ways to mitigate exposure to these threats and turn business issues into opportunities for growth, resilience, and long-term advantage.
Our team is made up of software engineers and data scientists collaborating to build the best world class automated document review and insight application.

Work you’ll do
The Deloitte Managed Services & Products practice launched a new service in the forensics space to detect fraud, waste, and abuse in various industries. The Artificial Intelligence for Record Review solution (AI4RR) continues to increase the capacity, quality, and efficiency of the Deloitte forensic processing by utilizing state-of-the-art technology and machine learning in a dedicated environment. We have an urgent need for a Data Scientist to join the Deloitte Analytic & Forensic Technology practice and extend our application and contribute significantly to new feature development opportunities. Here are just some to the things you will do:
  • Develop solutions with an Agile Development team.
  • Deploy solutions to Docker containers and Kubernetes
  • Translate client needs into robust end to end analytical solutions.
  • Design and implement production data pipelines using distributed computing and cloud technologies
  • Research and develop predictive models to identify and target fraud, waste, and abuse.
  • Build features into our application to allow for actionable insights from predictive model outputs.
  • Think creatively about how the latest advancements in machine learning can be implemented to help our clients uncover fraud, waste, and abuse.
  • Work with a Product Owner to refine stories into functional use cases and identify the work effort as tasks
  • Participate in test case creation responsibilities and peer reviews prior to coding
  • Review deliverables for accuracy and quality
  • Demonstrate feature work at the end of each iteration
  • Manage own personal and professional development; seek opportunities for professional growth and expansion of consulting skills and experience
  • Work from home when desired with infrequent visits to the office and limited travel for planning sessions

Required skills
  • Bachelor’s Degree in Economics, Finance, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area
  • 3+ years of experience working in a Data Science role.
  • Developing predictive and classification algorithms in Python, promptly responding to client requests
  • Proficient in Python, Spark(Pyspark), Kubeflow and SQL- Cloud exp
  • Comfortable operating in a Linux environment.
  • Familiarity with Big Data tools and frameworks such as Apache Iceberg and AWS Athena.
  • Experience researching and developing machine learning models in a corporate setting
  • Knowledgeable about various computer vision and OCR methods.
  • Maintains a reasonable theoretical understanding of machine learning methods including, but not limited to, tree based methods(decision trees, random forest, gradient boosted trees), regression, clustering techniques, deep learning and neural networks.
  • Experience optimizing and integrating models into production environments.
  • Exposure to software design patterns (e.g. understand object oriented vs functional programming principals, inheritance, writing abstract, reusable, and modular code)
  • Experience working in a cloud environment, preferably AWS.
  • Familiarity with microservices oriented application development leveraging Docker
  • Demonstrated problem solving and troubleshooting skills with experience exercising mature judgment
  • Experience with Git repositories
  • Experience demonstrating work to peers and stakeholders for acceptance
  • Eagerness to learn and seek new frameworks, technologies, and languages
  • Commitment to working with others and sharing knowledge on a regular basis

Preferred skills
  • Experience with at least one deep learning e.g., Tensorflow, PyTorch, Caffe, MxNET)
  • Experience working with REST APIs
  • Experience working on an Agile Development team and delivering features incrementally
  • Experience writing User Stories with acceptance criteria using BDD scenarios
  • Experience with JIRA, Azure DevOps Boards, or other work item tracking tools
  • Experience working with peers and managers who are geographically dispersed
  • Experience working in a startup environment

  • B.Tech/M.Tech/MS/MBA

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Professional development

You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people.

Requisition code: 136462

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