Senior 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\xe2\x80\x99s 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. 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

Qualifications Required:

• Undergraduate 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 as needed (<25%)

Preferred:

• Master\xe2\x80\x99s 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

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.


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\xe2\x80\x99s 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\xe2\x80\x99s 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.


Requisition code: 181764