Audit-Transformation- Senior Data Scientist

nd 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 Senior Data Scientist, you will focus on supporting the Data Science group and actively participate in the entire lifecycle of a data science project, with a focus on feature engineering, creating models, and boosting their performance and accuracy, as well as guiding and supervising more junior resources.

Specifically, you will be expected to:

• Apply rigorous data science practices on your specific assigned workstreams through the entire data science development and deployment lifecycle

• Develop high-quality, production-ready code (readable, well-tested, with well-designed APIs)

• Collaborate daily with Data Science Managers to solve complex data science problems that emerge within your workstream and others.

• Collaborate with subject matter experts to obtain an understanding of the underlying business problem, and to define and refine the corresponding technical solution.

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

• Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application

• Effectively explain technical concepts

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)

• 3+ years of industry experience designing, developing, and deploying machine learning models

• Solid understanding of machine learning model development life cycles

• Deep knowledge in at least one of our core competencies (NLP and generative AI, Anomaly Detection, Time Series, Knowledge Graph)

• Understanding of LLMs and prompt engineering

• Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)

• Extensive experience with Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)

• Experience with at least one cloud-based ecosystem (Azure, GCP, AWS)

• Experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI and LangChain

• Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools

• Excellent verbal and written communication skills

• Ability to travel up to 10%, on average, based on the work you do

• Limited immigration sponsorship may be available

Preferred:

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

• Extensive experience with Microsoft Azure, including certification in machine learning

• Experience with machine learning pipelines (Azure ML)

• Experience in an Agile working environment and related project management tools (Jira, Azure DevOps, etc.)

• Proficiency in utilizing prompt engineering techniques to effectively guide the generation process and obtain desired outputs from language models.

• Knowledge of finetuning techniques for language models, including methods to adapt and customize pretrained models for specific generative tasks, such as text generation, summarization, or dialogue systems.

• 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 $84,300 to $191,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.