PWC

CTIO - AI Engineer - Experienced Associate

PWC$50K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field required.
  • Minimum of 1 year of experience in data science or analytics.
  • Strong knowledge of data science algorithms and workflows.
  • Proficiency in MATLAB and R programming for data solutions.
  • Experience with machine learning and deep learning techniques.
  • Ability to conduct statistical analysis and predictive modeling.

Responsibilities

  • Leverage advanced analytics to generate insights from large datasets.
  • Design and develop data solutions for actionable insights.
  • Apply machine learning algorithms to resolve business challenges.
  • Build data pipelines and ensure data quality for informed decisions.
  • Conduct exploratory and descriptive analysis for strategic insights.
  • Develop predictive models using R and MATLAB.
  • Utilize TensorFlow and Scikit-Learn for advanced data tasks.
  • Collaborate with team members on diverse client challenges.
  • Own projects and deliver high-quality work of value to clients.
  • Engage in continual learning and maintain professional standards.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Paid holidays and vacation time.
  • Personal and family sick leave.
  • Eligibility for annual discretionary bonus.
Full Job Description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Associate

Job Description & Summary

The Opportunity

As a CTIO - AI Engineer - Experienced Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth. Within our Internal Firm Services practice, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.

In this role at PwC, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You are expected to adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. As you navigate through the firm, you build a brand for yourself, opening doors to more opportunities.

Responsibilities

- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Applying data science algorithms and machine learning techniques to solve complex business problems
- Building data pipelines and confirming data quality for informed decision-making
- Conducting exploratory and descriptive analysis to inform strategic decisions
- Developing predictive models using programming languages such as R and MATLAB
- Utilizing TensorFlow and Scikit-Learn for deep learning and natural language processing tasks
- Collaborating with team members to adapt to varying client challenges and scopes
- Taking ownership of projects and consistently delivering quality work that drives client value
- Engaging in active listening and communication to appreciate diverse perspectives and needs
- Upholding professional and technical standards while adhering to the Firm's code of conduct

What You Must Have

- At least a Bachelor's degree
- At least 1 years of experience

What Sets You Apart

- 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
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Applying programming skills in MATLAB and R for data solutions
- Engaging in data-driven decision making and statistical analysis
- Leveraging experience with TensorFlow and Scikit-Learn libraries

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $50,500 - $140,000. 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

About PWC

PwC is a multinational professional services network of firms headquartered in London, United Kingdom, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people. As of 2020, 26% of the workforce worked in the Americas, 26% in Asia, 32% in Western Europe, 5% in Middle East and Africa and 11% in Central and Eastern Europe and Central Asia.
Learn more about PWC
Size
284,000 employees
Industry
Founded
1998

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