Deloitte Risk & Financial Advisory Associate – Data Scientist (Summer/Fall 2023)

September 21, 2022
Jacksonville, FL
Job Type


Deloitte Risk & Financial Advisory Associate - Data Scientist

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte & Touche LLP could be the place for you. At Deloitte, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) Center of Excellence to enhance Deloitte's existing services and empower our clients to gain exponential value from their data. Our focus is on bringing data, analytics, 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 technical ability. We are looking for Machine Learning experts with strong experience in Deep Learning that want to be part of a team that has an opportunity to make a significant impact.

Work you'll do

You will be focused on developing cutting-edge quantitative solutions to our client's most challenging problems. You will develop and apply technical skills, apply quantitative methods to challenging AI, and explore Machine Learning problems across multiple industries. Opportunities to assist clients will span from Life sciences (genetics, new medicines development) to Cyber Security to Fraud/Waste/Abuse detection to capital markets modeling. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to deepen your skills, learn new industries, and work within a global community with strong support from experienced experts in the field. Data Scientists will:

+ Apply rigorous data science practices on specific projects

+ Apply knowledge in a machine learning domain such as deep learning, computer vision, and natural language processing (NLP)

+ Create algorithms to extract information from large, multiparametric data sets

+ Be a key contributor to the planning and direction of a project and effectively prioritize goals

+ Lead peer review discussions and use quantitative skills to positively influence decision making

+ Effectively explain technical concepts and regularly participate in code reviews

+ Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models

+ Deploy algorithms to production to identify actionable insights from large databases

+ Compare results from various methodologies and recommend best techniques to stakeholders

+ Develop and embed automated processes for predictive model validation, deployment, and implementation

+ Connect and collaborate with subject matter experts across multiple industries

+ Make impactful contributions to internal discussions on emerging Machine Learning methodologies

+ Keep abreast of and apply the latest advances in research literature to solve business problems

+ Participate in regular internal team calls and the Journal Club

Data Scientists must also:

+ Possess strong written and verbal communication skills

+ Be able to work collaboratively as part of a team

+ Continuously look for opportunities to learn, build skills, and share learning

The team

This is a hands-on position where you will be empowered to be creative, ambitious, and bold; to solve novel problems and have the potential to directly impact the lives of people around the world. We have impressive toolkits and clients with world class data, and we are now looking for talented people to join our team.



+ Bachelors, Masters, and/or PhD degree in one of the following majors:

+ Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field

+ Completed courses in Deep Learning, Machine Learning, Statistics, and Programming

+ Experience with a programming language such as Python

+ Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras

+ Demonstrated ability to write high-quality code (readable, well-tested) Demonstrated ability to develop machine learning models

+ Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve

+ Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future


+ Strong academic track record (minimum GPA of 3.2)

+ Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)

+ AI/ML publication in a peer-reviewed journal

+ Top 10% entry on a Kaggle Leaderboard

+ Proficiency in Linux environment (including shell scripting)

+ Experience with database languages (e.g., SQL, No-SQL)

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

+ Familiarity with cloud computing services (AWS, GCP, or Azure)

For individuals assigned and/or hired to work in Colorado or Nevada, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This wage range is specific to the State of Colorado and the State of Nevada and 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 $98,000 to $110,000.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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