Jobs Companies PwC Fraud Solutions - Data Scientist - Risk Detect - Senior Associate

Sobre esta vaga de Fraud Solutions - Data Scientist - Risk Detect - Senior Associate na PwC

PwC · Presencial · NY-New York

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

As a Fraud Solutions - Data Scientist - Risk Detect - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage within our Risk & Regulatory practice. 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, delivering quality work while embracing increased ambiguity.

In this role at PwC, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will respond effectively to diverse perspectives, use a broad range of tools to generate new ideas, and apply critical thinking to break down complex concepts. By understanding the broader objectives of your projects, you will contribute to the overall strategy and develop a deeper understanding of the business context. This position offers the opportunity to uphold professional standards and reinforce the firm's code of conduct and independence requirements.

Responsibilities

- Analyzing complex data sets to derive actionable insights and support strategic decision-making
- Developing and implementing innovative data solutions to optimize business performance
- Utilizing advanced analytics techniques to enhance competitive advantage for clients
- Building and maintaining meaningful client relationships to understand and anticipate their needs
- Collaborating with cross-functional teams to drive continuous process improvement and data quality
- Designing and deploying data visualization tools and dashboards to facilitate informed decision-making
- Engaging in stakeholder management to align data initiatives with business objectives
- Applying analytical thinking and data science skills to solve complex business challenges
- Leveraging Python programming for data analysis and pipeline development
- Upholding professional and technical standards in all client engagements

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: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Utilizing Python for data analysis and interpretation
- Developing data visualization and reporting dashboards
- Embracing change and continuous process improvement
- Engaging stakeholders through effective communication and teamwork
- Analyzing industry trends to inform business strategies
- Navigating complex situations with intellectual curiosity and learning agility

Travel Requirements

Up to 60%

Job Posting End Date

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.

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Como este salário de Data Scientist se compara

Esta vaga paga $139,500/yrem linha com da faixa típica para vagas de Data Scientist.

$101,450 a mediana $170,500 $257,600

Faixa típica $130,963–$216,263/yr, com base em 1,279 vagas de Data Scientist comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Scientist →

Sobre a PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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