Advisory - Deals - Forensic - Data Analytics - Kolkata

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 (eg.

pandas and scikitlearn in Python);
Data storage and querying (eg.

SQL);
Understanding of common data quality issues and they effect they have on machine learning models;
Data cleansing and manipulation for machine learning (eg.

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 .