PwC

Not Applicable

SeniorAssociate-DataScience(USClient)

Buenos Aires, Argentina; Argentina FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior Associate candidates.

The Brief

“Senior Associate - Data Science (US Client) at PwC. Skills: GenAI solutions, Machine learning models, AI models. Contribute to GenAI solutions development. Utilize machine learning models”

What You'll Achieve.

Anticipate needs of teams and clients; Deliver quality; Transform raw data into actionable insights; Enable informed decision-making; Drive business growth; Drive data-driven decision making; Solve complex business problems

Industry & Context.

Not Applicable
Problems you'll solve

Solve problems; Use critical thinking; Break down complex concepts; Interpret data to inform insights

What They're Looking For.

Must Have

2 Years experience, Graduated or pursuing Software Engineering or similar IT degree, Mathematical Statistics degree, Applied Mathematics degree, Financial Mathematics degree, Data Processing/Analytics/Science degree, Actuarial Science degree, Operations Management/Research degree, Programming languages experience, Python experience, R experience

Nice to Have

Data Science professionals specialization, Economists specialization, Actuaries specialization

What You'll Do.

Contribute to GenAI solutions development

Utilize machine learning models

Monitor emerging AI trends

Research emerging AI trends

Support project delivery

Process structured data

Process unstructured data

Improve business processes

Improve decision-making

Support documentation efforts

Support technical analysis efforts

Communicate complex concepts

Support business development efforts

Support technical sales cycles

Support client proposal process

Develop internal GenAI assets

Develop foundational capabilities

How You'll Work.

Team & Collaboration

Work with cross-functional teams; Collaborate with data engineers; Collaborate with architects; Collaborate with data scientists

Communication Scope

Clearly communicate complex concepts to non-technical stakeholders

Full Job Description

**Industry/Sector** Not Applicable **Specialism** Actuarial Services **Management Level** Senior Associate **Job Description & Summary** 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. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Respond effectively to the diverse perspectives, needs, and feelings of others. * Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. * Use critical thinking to break down complex concepts. * Understand the broader objectives of your project or role and how your work fits into the overall strategy. * Develop a deeper understanding of the business context and how it is changing. * Use reflection to develop self awareness, enhance strengths and address development areas. * Interpret data to in

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