Advisory - Deals - Forensic - Data Analyst - Associate - Kolkata

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Deal Strategy

Management Level

Associate

Job Description & Summary

A career within Forensics Technology services, will provide you with the opportunity to help our clients protect their business in today’s evolving landscape by applying advanced and strategic approaches to information management. We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events which includes litigation, regulatory requests and internal investigations.

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 an 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:

• Invite and give in the moment feedback in a constructive manner.
• Share and collaborate effectively with others.
• Identify and make suggestions for improvements when problems and/or opportunities arise.
• Handle, manipulate and analyse data and information responsibly.
• Follow risk management and compliance procedures.
• Keep up-to-date with developments in area of specialism.
• Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
• Build and maintain an internal and external network.
• Seek opportunities to learn about how PwC works as a global network of firms.
• Uphold the firm's code of ethics and business conduct.

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, you'll 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 non-technical 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 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 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. That's why we have our 'Outstanding Achievement' entry route - it's an innovative way we're able to support applications from people who may not have met the academic requirements we're 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.

Diversity
We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool as well as those who reflect the diverse nature of our society. And we aim to encourage a culture where people can be themselves and be valued for their strengths. Creating value through diversity is what makes us strong as a business.
As an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

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

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date