Data Science & Machine Learning Manager

Key Skills

Python Programming, SQL, PowerBI, Alteryx, NoSQL, Pandas, SciPy, Tableau, Scikit-learn, R Programming

Job Description

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 Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Manager, 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:

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm's/client's expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm's code of ethics and business conduct.

Demonstrates extensive-level, abilities success with managing the identification and addressing of client needs::

• Using of analytical models and algorithms including Machine/Deep learning, Multivariate Statistics (e.g., Clustering, Principal Component Analysis, Regression, Hypothesis testing and Factor Analysis), Optimization, Data Mining, Exploration, and Manipulation;
• Leveraging structured and unstructured data for solving analytical problems;
• Overseeing development and deployment of analytical solutions as part of a larger automation pipeline;
• Using of common cloud platforms (e.g., Azure, AWS and GCP) for manipulating large data sources, model, development, and deployment;
• Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis as required;
• Collaborating with client team to understand their business problems, determine resolutions through appropriate analytical techniques, and guide engagement team’s execution;
• Explaining analytical/quantitative outcomes to internal/client teams and how those outcomes realize business value;
• Being able to structure and select the appropriate analytical techniques for the problem at hand;
• Being able to structure, write, communicate and facilitate client presentations;
• Leading business development through ongoing client relationship management and contributions to client proposals; 
• Directing and collaborating with associates / senior associates through coaching, providing feedback, and guiding work performance; and,
• Participating in internal thought leadership discussions around practice growth, innovation and accelerator developments.

Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:

• Using SQL, Python (e.g. Scikit-Learn, Pandas, SciPy etc.), Relational storage (SQL), Non-relational storage (NoSQL); and,
• Understanding and/or handing on experience with Alteryx, R, tools for data visualization (Tableau, PowerBI, etc), Graph databases (e.g. CosmoDB, Neo4j).

Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.

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.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.