ETIC, Data Science - Senior Associate

PricewaterhouseCoopers

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale. This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming and training the complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems. You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure and AWS.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

Your responsibilities will include but may not be limited to:

• Building and maintaining in-depth understanding of machine learning concepts across all areas, in particular; supervised, unsupervised, reinforcement learning and large language models.

• Writing Python / R code to create, tune and validate models.

• Optimising code and infrastructure for machine learning performance.

• Consulting with clients on business issues, often explaining complex technical concepts to non-technical people.

• Creation of novel visualisations and explanations to demonstrate our work.

• Researching new products, tools and techniques to assist with advancing our machine learning and data science capability.

Technical Skills:

• Data transformation and modelling (e.g. pandas and scikit-learn in Python);

• Data storage and querying (e.g. SQL);

• Understanding of common data quality issues and they effect they have on machine learning models;

• Data cleansing and manipulation for machine learning (e.g. feature engineering);

• Dimensionality reduction techniques (e.g. principal component analysis);

• Hyperparameter optimization approaches for a range of models;

• Use of Large language models for natural language processing;

• Experience with financial / general ledger data;

• Knowledge of the current data science software platforms;

• Knowledge of Generative AI and concepts such as retrieval augmented generation.

Soft Skills:

• The ability to come up with creative solutions to complex problems;

• Exceptional analytical and technical aptitude;

• Exceptional attention to detail;

• The ability to manage time, prioritise tasks and work under tight deadlines;

• The ability to work independently with little supervision, but integrate well into teams;

• Concise and clear communication when presenting and explaining results and findings.

• Naturally inquisitive

• Analytical mindset