Audit & Assurance - Machine Learning & Natural Language Processing Intern

Key Skills

Python Programming, Machine learning techniques, Natural Language Processing (NLP), TensorFlow, Theano, spaCy, Natural Language Toolkit - NLTK, Gensim

Job Description

Audit Transformation

Our audits are fueled by more than just technology – what really sets us apart are our insightful professionals, collaborative culture, and commitment to innovation and continuous improvement. Our audit professionals apply a streamlined, intelligent approach to the audit, enabled by innovative tools and technologies. Quality is our top priority, and by focusing on innovation, we continue to raise the bar on quality and deliver greater value to our clients. Learn more about Deloitte Audit.

The Audit Transformation team is seeking highly motivated PhD students available for 3 to 6 month internships in the area of natural language processing and machine learning. The successful candidates will work with the other data scientists on the team to develop solutions to real-world problems. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think outside-the-box, innovate, and find novel solutions to some of the most challenging problems within our business.

Responsibilities

• Utilize basic natural language processing (NLP) techniques to develop tools (such as information extraction and retrieval, context analysis, event detection) for analyzing large data sets consisting of natural language documents.
• Collaborate with colleagues to implement reusable, efficient and maintainable software components using mainstream programming languages.
• Incubate innovative concepts and develop publications.

Qualifications

• Current student in a PhD program in a quantitative field (computational linguistics, computer science, engineering, mathematics, physics, machine learning, statistics).
• Experience with NLP techniques such as topic modeling, sentiment analysis, NER, text summarization, etc.
• Extensive experience with natural language processing tools such as NLTK, spaCy, PyTorch-NLP, Gensim, etc.
• Proficient in Python with software development experience.
• Experience with deep learning tools such as Theano, PyTorch, Tensorflow, etc.
• Publication and research experience in related fields.
• Outstanding collaboration, interpersonal and communication (verbal & written) skills in English is required.
• Drive and motivation for career development and open to taking on challenges.
• Team player who can also be independent, prioritize work and thrives in a fast-paced dynamic environment.