Data Scientist

Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team? If yes, we have just the role for you.

In Deloitte's Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations.

You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs.

The work you'll do:

As a Data Scientist, you will be supporting the Data Science group and actively participating in the entire lifecycle of a data science project, including exploratory data analysis, feature engineering, 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.

Specifically, you will be expected to:

• Develop, test, and deploy machine learning/AI models
• Collaborate daily with Data Science Managers and Senior 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

The team:



Our culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Our audit support professionals are committed to excellence and to enhancing the trust of the investing public and capital markets. Quality is our top priority, and by focusing on innovation, we continue to raise the bar of quality and deliver greater value to our clients. Learn more about Deloitte Audit.

Qualifications
Required:

• Bachelor's 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, deep learning, and programming
• At least an introductory understanding of LLMs and prompt engineering
• Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
• Demonstrated ability to write high-quality code
• Demonstrated ability to develop machine learning models
• Excellent verbal and written communication skills
• Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred:

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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900 to $149,700.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

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

From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.