Advisory - Deals - Forensic - Data Analyst - Associate

Driven by curiosity, you are a reliable, contributing member of a team. In our fastpaced 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.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to

Investigative Analytics

In an increasingly digitised world, instances of fraud and electronic crime are becoming more and more common. Investigative Analytics involves the analysis of data to support forensic investigations. Much of our work requires us to analyse vast quantities of data, using cutting edge technology and advanced statistical techniques to extract meaningful insights for our worldwide clients. Because we operate in an environment where speed of response is often
critical to our clients, we are constantly innovating and drawing on the very latest technologies.

Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, youll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

The very nature of what we do means that many of our clients have an international reach, and no two jobs, or indeed days, are the same. So, if you are naturally inquisitive, have an analytical mind and enjoy solving problems in a rigorous and methodological manner, we d be interested in talking to you.

Your responsibilities will include but may not be limited to
Demonstrate aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements;
Write Python / R code to create, tune and validate models.
Utilise SQL code for data interrogation and investigations;
Consult with clients on business issues, explaining complex technical concepts to nontechnical stakeholders.
Develop novel visualisations and explanations to effectively demonstrate work.
Exhibit excellent communication skills by accurately interpreting client business needs into technical requirements, performing necessary analyses, and translating findings into actionable business insights.
Research new products, tools and techniques to assist with advancing our machine learning and data science capability.

Requirements
To be considered you must be able to demonstrate experience working in a data analysis/ data science role, covering multiple of the following disciplines
Data transformation and modelling (e.g. pandas and scikitlearn 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 enginee ing);
Data Visualization (e.g PowerBi, Tableau)
Experience with financial / general ledger data;
Knowledge of the current data science software platforms.

To be successful in this role you will need to demonstrate the following

The ability to devise creative solutions to complex problems;
Exceptional analytical and technical aptitude;
Meticulous attention to detail;
Strong time management skills, including the ability to prioritise tasks and work under tight deadlines;
The capability to work independently with minimal supervision, while integrating well into teams;
Strong writing and presentation skills;
Concise and clear communication when presenting and explaining results and findings.
Possess a deep understanding of machine learning concepts, with a particular focus on supervised, unsupervised, and reinforcement learning.
Optimise code and infrastructure to enhance machine learning performance.
Outstanding potential takes many forms and academic success is just one measure. Thats why we have our Outstanding Achievement entry route its an innovative way were able to support applications from people who may not have met the academic requirements were looking for, but have excelled in something else.
The skills we look for in future employees
All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, The PwC Professional .

The PwC Professional focuses on five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships. We use this framework to recruit, develop and assess our people, at all grades and all areas of our business, because we expect all of our people to be leaders.

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills