Position Summary

Data Scientist

As a Data Scientist, you will be supporting the Data Science group and actively participating in all the processes of a data science project, including exploratory data analysis, feature generation and selection, model creation, and model optimization to boost performance and accuracy. It is important that the person in this role is proactive and independent. You should be a problem solver with an open mind and an eagerness to pick up new skills ranging from deeper statistical analysis and better modeling skills to honing programming and communication skills.

Specifically, you will be expected to:

·       Apply data science practices on your specific assigned workstreams; particularly:

o   Perform exploratory data analysis to understand relationships and opportunities to influence outcomes

o   Select appropriate machine learning models for tasks, and building and training working versions of those models using Python and other open-source tools

o   Score and explain the performance of models applied to data

o   Develop and document proofs of concept to verify ideas

·       Collaborate daily with Data Science Managers and Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives

·       Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives

·       Contribute to internal discussions on emerging machine learning methodologies




·       Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

·       Experience using Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)

·       Coursework related to machine learning, NLP, deep learning, and programming

·       Hands-on application experience using common machine learning (atleast 1 project ) libraries and techniques, including TensorFlow, PyTorch, and big data platforms

·       Demonstrated ability to write high-quality code

·       Demonstrated ability to develop machine learning models


·       Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

·       Data Bricks

·       Relevant work experience (internships, school jobs, etc.)

·       Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps

·       Familiarity with machine learning model development life cycles

·       Experience with version control practices and tools (Git, etc.)

·       Public AI-related projects you have developed available on GitHub


We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Be inspired by the stories of our people.

Our purpose

Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.

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: 122484