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• Forward Deployed Software Engineer-Palantir Foundry-Senior Associate Available in 61 locations Available in 61 locations See all See all

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763752WD Up to 80% Senior Associate Apply now Save Description The Opportunity As a Forward Deployed Software Engineer-Palantir Foundry-Senior Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Technology Consulting practice, you will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. This opportunity allows you to use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. Responsibilities

• Leading the development and deployment of data solutions using Palantir Foundry
• Leading teams in the development of robust data solutions for client needs
• Coaching team members to leverage their strengths and deliver quality outcomes
• Analyzing system interactions to identify opportunities for improvement
• Utilize proficiency in data engineering and analytics to drive client benefits
• Manage client accounts and foster enduring client relationships
• Taking ownership of projects, including planning, budgeting, and execution
• Encouraging innovation and technology adoption to enhance delivery
• Addressing conflicts and engaging in challenging conversations with stakeholders
• Upholding professional and technical standards, including PwC's code of conduct
• Identify opportunities for team development and continuous improvement What You Must Have
• At least a Bachelor's degree
• At least 3 years of experience What Sets You Apart
• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• At least one of the following: Foundry Data Engineer, Solution Architect, or Application Developer
• Excelling in customer-centric solutions
• Delivering significant contributions beyond expectations
• Strength in analytical and problem-solving abilities
• Building applications with large datasets
• Collaborating with diverse technical teams
• Familiarity with Python and/or Typescript
• Experience with Palantir Foundry and AIP The salary range for this position is: $77,000
• $202,000.

Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 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. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. 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 #LI-Hybrid Apply now Save job Recommended Find relevant roles Upload your resume to see open roles relevant to your skills and experience Search with resume Explore PwC careers Learn more about our work, benefits and H-1B lottery policy as you consider your next step. H-1B lottery policy Learn about our H-1B lottery policy and the roles that may qualify for an exception. View the policy Explore benefits Learn about the benefits and programs available to eligible PwC team members to support your health, well-being and financial goals. Explore benefits Explore what we do Discover the work our teams do across Audit and Assurance, Advisory, Tax and Business Services — and where your skills could make an impact. Explore what we do Careers Search Jobs Audit and Assurance services Consulting Tax services Newsroom Alumni US offices Contact us © 2017

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