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Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.

YEAR

PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.

PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy, human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.

Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.

PricewaterhouseCoopers LLP

AI & GenAI Data Scientist - Manager

Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables that have a broad impact. Alternate Education / Experience Requirements: Employer will accept a Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative discipline and.

Elevance Health

Principal Data Scientist

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Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance. In this role at PwC, you will contribute to AI-driven automation and cognitive solutions by turning large datasets into insights, supporting data-driven decision making, and developing deliverables that align with client needs and broader project objectives.

AI & GenAI Data Scientist-Senior Associate

AI & Genai Data Scientist-Senior Associate

Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time. Success in this role demands a robust grasp of statistical human genetics, applied inventively in a partner-facing environment: you excel at unravelling complex genomic data and have a knack for translating raw findings into actionable consulting insights, working collectively with both your highly skilled internal team and external partners.

Genomics plc

Lead Scientist

Perform analytical chemistry in collaboration with others to develop and validate analytical methodology, including stability-indicating HPLC methods, GC methods, Karl Fischer for new drug substances and products. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to alcon.recruitment@alcon.com and let us know the nature of your request and your contact information.

Alcon Inc

Associate Scientist, Analytical Chemistry

As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.

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