AI & GenAI Data Scientist Director

PWC

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYRaleigh, NCCharlotte, NCChicago, ILCincinnati, OHCleveland, OHColumbia, SCColumbus, OHDallas, TXBaltimore, MDRichmond, VARosemont, ILSacramento, CABoston, MASt. Louis, MOSalt Lake City, UTSan Antonio, TXSan Diego, CASan Francisco, CASilicon Valley, CASeattle, WASpartanburg, SCAlbany, NYStamford, CTTampa, FLAtlanta, GAToledo, OHAustin, TXTulsa, OKWashington, DCDenver, CODes Moines, IADetroit, MIBuffalo, NYFlorham Park, NJFort Worth, TXGreensboro, NCHartford, CTHouston, TXGrand Rapids, MIIndianapolis, INIrvine, CAJacksonville, FLKansas City, MOLas Vegas, NVLittle Rock, ARLos Angeles, CALouisville, KYBirmingham, ALFayetteville, ARMelville, NYMiami, FLMilwaukee, WIMinneapolis, MNNashville, TNNew Orleans, LAOklahoma City, OKPhiladelphia, PAPhoenix, AZPittsburgh, PAPortland, OR
Salary
$155,000–$410,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k
This role $282k
$124k $441k
below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $192,050–$263,700 — the blue band above. At the midpoint, this role pays about $282k versus about $228k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 108 open roles on FindRole.

Listed pay typically runs $99,000–$252,450 across 104 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · AI & GenAI Data Scientist Director

Role Posting Log in to save

As an AI & GenAI Data Scientist-Director within the Data and Analytics Engineering practice, you will lead the design and development of robust AI and Machine Learning solutions. You will transform raw data into actionable insights by overseeing data infrastructure, integration, and software implementation to support scalable models. Your daily responsibilities include setting strategic directions, mentoring teams, and managing executive-level client relations to identify market opportunities. You will utilize programming languages such as Python and C++ while applying machine learning libraries and cloud platforms including AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake. The role focuses on solving complex data analysis problems, ensuring data quality and integrity, and driving technological advances in data infrastructure to enable scalable AI systems for diverse client engagements.

Skills

Artificial Intelligence Machine Learning Python C++ AWS Google Cloud Microsoft Azure Databricks Snowflake Data Engineering Data Analytics Data Infrastructure Data Wrangling GenAI

What you'll do

  • Design and develop AI and Machine Learning solutions to transform raw data into actionable business insights.
  • Oversee the implementation of data infrastructure and integration to support scalable AI systems.
  • Identify market opportunities and convert them into successful client engagements to drive business growth.
  • Mentor and guide teams in the application of advanced data analytics and AI techniques.
  • Use Python and C++ to develop, deploy, and manage complex AI models and data analysis.
  • Collaborate with executive-level clients to shape strategic directions and deliver impactful solutions.
  • Ensure data quality and integrity within analytics frameworks while managing complex data analysis.

What we're looking for

  • At least a Bachelor's degree.
  • At least 12 years of experience.
  • Preference for a degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
  • Certifications in data engineering, machine learning, and cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
  • Proficiency in AI implementation and machine learning libraries (preferred).
  • Proficiency in utilizing Python and C++ for complex data analysis and modeling (preferred).
  • Experience leading AI-driven automation projects with a strategic mindset and innovation (preferred).
  • Experience promoting technological advances in data infrastructure and integration (preferred).

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