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 Preferences

Basic Qualifications

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems,Management Information Systems & Accounting,Management of Technology,Systems Engineering,Mathematical Statistics,Mathematics,Electrical Engineering,Industrial Engineering,Computer and Information Science & Accounting

Minimum Year(s) of Experience

1 year(s)

Preferred Qualifications

Preferred Knowledge/Skills

Demonstrates 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-work

PwC 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-deadlines

The 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

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers’ customers to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

In this age of disruption, organizations need to navigate the future with confidence, embracing decision-making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Revenue Marketing & Analytics team leverages the power of data, analytics, science and technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making to optimize revenue. Work together with the Marketing Leadership Team, GTM Team and LOB by architecting organizational intelligence programs and differentiated strategies to win assist in maximizing marketing programs.

To succeed in this role, you must have significant experience with analytics software, such as Google Analytics, Power BI and other relevant tools, and programming languages (SQL/Python/R).

Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.

Leverage automation and data science-based techniques to manage data, predict scenarios and prescribe actions.

Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing data intelligence for continuous insights and improvements.

Travel up to 30%

What Makes You a Qualified Candidate

8+ years of relevant data management and/or cloud analytics (AWS, GCP, Azure) consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling)

4+ years of experience leading and managing data delivery project teams through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and go live.

Significant experience leading complex data management engagements and team sizes ranging from 5 to 20 resources.

Bachelor's Degree or equivalent professional experience

What You'll Bring

Experience with other data management toolsets: Salesforce, Eloqua, 6sense, Aprimo, Google Analytics, Teradata, Microsoft BI, etc.

An advanced degree in the area of specialization

Proven skills as a team member, team lead or project manager on multiple full life cycle implementations.

A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines.

Eagerness to mentor junior staff and raise the quality of data strategy, design and implementation across the practice by sharing insights and methods through training, community, etc.

Committed to gaining exposure to multiple industries while further developing your career.

Adept at implementing technology-enabled business solutions for clients as part of a high-talent team.

Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)

Pay Rate: $143,500.00 - $179,400.00 - $215,200.00 Annually

Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

#LI-OC1

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Pay Rate: 143500.0000 - 179400.0000 - 215200.0000 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Learn more about Teradata’s competitive Total Rewards package at https://www.teradata.com/About-Us/Careers/Benefits

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