PricewaterhouseCoopers-posted 2 months ago
$63,000 - $140,000/Yr
Full-time • Entry Level
New York, NY
Professional, Scientific, and Technical Services

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality 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.

  • Utilize analytical techniques to address financial crime issues
  • Engage with clients to foster meaningful professional relationships
  • Apply SQL and Python for data analysis and problem-solving
  • Explore machine learning, NLP, and LLMs in relevant projects
  • Contribute to team efforts while enhancing personal technical skills
  • Adapt to complex situations and develop strategic insights
  • Participate in research to support project objectives
  • Uphold professional standards and ethical guidelines
  • Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
  • 1 year of experience in data science/machine learning
  • Interest in financial crime, AML, and fraud analytics
  • Skilled in SQL for complex data queries
  • Advanced Python skills for data manipulation
  • Experience building and deploying machine learning models
  • Understanding of machine learning concepts and algorithms
  • Comfort working with structured and unstructured data
  • Familiarity with agentic AI frameworks
  • Hands-on experience with CI/CD pipelines for data science
  • Proficiency in SQL and Python
  • Basic understanding of machine learning algorithms and evaluation metrics
  • Exposure to frameworks such as scikit-learn, XGBoost, Hugging Face Transformers
  • Medical
  • Dental
  • Vision
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave
  • Annual discretionary bonus
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