PwC Recruitment Drive; Hiring Data Analyst – Apply Now

Data Analyst Job Openings in PwC 2025!!!

PwC announced job vacancy for the post of Advisory - Deals - Forensic - Data Analytics. The place of posting will be at Bangalore & Kolkata. Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	PwC
Required Qualifications	Graduate
Skills	Pandas and scikit-learn in Python, SQL
Work Type	Onsite
Position Type	Associate

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 their work requires them to analyse vast quantities of data, using cutting edge technology and advanced statistical techniques to extract meaningful insights for their worldwide clients. Because they operate in an environment where speed of response is often critical to their clients, they are constantly innovating and drawing on the very latest technologies.

Θ Positions: Advisory - Deals - Forensic - Data Analytics

Θ Job Location: Bangalore & Kolkata

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID: 598763WD

Required Skills & Qualifications:

• 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.

Responsibilities:

• 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.

 

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