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AI & GenAI Data Scientist-Experienced Associate

Specialty/Competency: Data, Analytics & AI Industry/Sector: EUR X-Sector Time Type: Full time Travel Requirements: Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:- Apply a learning mindset and take ownership for your own development.- Appreciate diverse perspectives, needs, and feelings of others.- Adopt habits to sustain high performance and develop your potential.- Actively listen, ask questions to check understanding, and clearly express ideas.- Seek, reflect, act on, and give feedback.- Gather information from a range of sources to analyse facts and discern patterns.- Commit to understanding how the business works and building commercial awareness.- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.Job Requirements and PreferencesBasic QualificationsMinimum Degree RequiredBachelor's DegreeRequired Field(s) of StudyManagement Information Systems,Management Information Systems & Accounting,Management of Technology,Systems Engineering,Mathematical Statistics,Mathematics,Electrical Engineering,Industrial Engineering,Computer and Information Science & AccountingMinimum Year(s) of Experience1 year(s)Preferred QualificationsPreferred Knowledge/SkillsDemonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs:- Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients- Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach- Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases- Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds- Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases- Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;- Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;- Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;- Structuring, write, communicate and facilitate client presentations; and,- Directing associates through coaching, providing feedback, and guiding work performance.Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:- Managing AI/GenAI application development teams including back-end and front-end integrations- Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);- Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization- Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev- Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms- Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlinesThe salary range for this position is: $75,000 - $118,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance#LI-Hybrid
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$96500 / YEARLY (est.)
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$75000K
$118000K

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What You Should Know About AI & GenAI Data Scientist-Experienced Associate, PwC

Are you ready to dive into the future of data at PwC as an AI & GenAI Data Scientist-Experienced Associate? Located in Five Points, NC, you'll have the chance to work alongside a dynamic team that transforms raw data into actionable insights. At PwC, we believe in the power of advanced analytics and machine learning to drive success. This role will see you developing predictive models, conducting statistical analyses, and crafting data visualizations that help solve some of the most complex business challenges for our diverse clients. You'll balance innovation with a strong sense of responsibility, taking ownership of your work while learning from a variety of client interactions. With the fast pace of our environment, your curiosity will be your best ally, pushing you to constantly adapt and grow. You'll also embrace opportunities to lead projects, from designing AI solutions to managing data engineers. Collaboration is key; you'll engage deeply with client teams to understand their specific needs and develop tailored strategies. The experience you gain here not only builds your professional portfolio but also expands your network within the industry. Ready to unleash your full potential while creating impactful data solutions? Join us at PwC, and let's shape the future together!

Frequently Asked Questions (FAQs) for AI & GenAI Data Scientist-Experienced Associate Role at PwC
What qualifications are necessary for the AI & GenAI Data Scientist-Experienced Associate position at PwC?

To qualify for the AI & GenAI Data Scientist-Experienced Associate role at PwC, you should have a Bachelor’s Degree in fields such as Management Information Systems, Computer Science, or Mathematics, along with a minimum of one year of experience. Preferred qualifications include hands-on experience with machine learning techniques, proficiency in programming languages like Python, and a solid understanding of AI application development.

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What are the main responsibilities of an AI & GenAI Data Scientist-Experienced Associate at PwC?

As an AI & GenAI Data Scientist-Experienced Associate at PwC, your primary responsibilities will include developing predictive models, conducting data analysis, and designing AI architectures tailored to meet client needs. Additionally, you will collaborate with cross-functional teams, manage client relationships, and provide valuable insights to drive data-driven decisions.

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What tools and technologies will I work with as an AI & GenAI Data Scientist-Experienced Associate at PwC?

In the role of AI & GenAI Data Scientist-Experienced Associate at PwC, you will work with a variety of tools and technologies including Python libraries like Pandas and Scikit-learn, common LLM frameworks, as well as cloud services like Azure, AWS, or Google Cloud. Familiarity with databases (SQL and NoSQL) and version control systems like Git will also be essential.

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How does the AI & GenAI Data Scientist position contribute to client success at PwC?

The AI & GenAI Data Scientist-Experienced Associate plays a crucial role in client success at PwC by transforming complex data into actionable insights. Through data modeling, statistical analysis, and machine learning, you will help clients navigate their business challenges, optimize operations, and make informed decisions that drive growth.

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Is travel required for the AI & GenAI Data Scientist-Experienced Associate position at PwC?

Yes, the AI & GenAI Data Scientist-Experienced Associate may be required to travel up to 80% of the time. This aspect of the role enables you to work closely with clients on-site, understanding their specific challenges and providing tailored solutions.

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Common Interview Questions for AI & GenAI Data Scientist-Experienced Associate
Can you describe a complex data problem you've solved and the approach you took?

When answering this question, focus on a specific project where you utilized your data science skills to analyze complex datasets. Detail the problem, your methodology, the tools you used, and the outcome, emphasizing your role in achieving success.

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What programming languages are you most comfortable with, and how have you used them in your work?

Discuss your proficiency with programming languages such as Python, and provide examples of projects where you've applied these skills. Mention specific libraries you've used for data manipulation or machine learning, showcasing your technical capability in practical settings.

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How do you ensure the quality and relevance of your data models?

Explain your approach to validating models, such as through cross-validation techniques or performance metrics. Emphasize your focus on continuous learning and adapting models based on incoming data and client feedback.

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Describe your experience with AI and machine learning frameworks.

Share your hands-on experience with AI and machine learning frameworks such as Keras or Scikit-learn. Provide examples of the types of models you’ve built, the challenges you faced, and how you overcame them.

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How would you approach understanding a client's business and their analytic needs?

Discuss your proactive strategies for gathering information, such as conducting stakeholder interviews, analyzing existing data, and engaging in collaborative sessions to clarify client goals. Highlight the importance of listening and feedback in this process.

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What role does data visualization play in your analysis process?

Talk about how data visualization helps communicate insights effectively to stakeholders. Provide examples of visualization tools you've used and discuss how they contribute to transparency and decision-making.

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How do you stay updated with the latest advancements in AI and data science?

Share your strategies for continuous learning such as following industry blogs, attending webinars, participating in relevant courses, or engaging with data science communities. Highlight any recent trends or technologies you find particularly exciting.

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Can you describe your experience with working in a team environment?

Illustrate your collaborative experiences, discussing how you’ve worked with cross-functional teams. Emphasize communication, conflict resolution, and your contribution to team success.

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What tools do you prefer for model development and why?

Identify your preferred tools, such as Jupyter Notebook for exploratory analysis or specific programming libraries for modeling tasks. Explain why these tools enhance your efficiency and effectiveness in data analytics.

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How do you approach failure or setbacks in your projects?

Discuss a specific example where you encountered a setback, detailing how you assessed the situation, learned from it, and adapted your approach for future projects. Highlight resilience and a learning mindset.

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Join our community of solvers. Here, you’ll learn with purpose, lead with heart and put your skills to work to make a meaningful difference in the world. As part of a diverse team, you’ll build trust and create innovative client solutions in unex...

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Full-time, hybrid
DATE POSTED
December 17, 2024

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