Our client is a true global leader is business consultancy and professional services. Their most profitable and high-growth area sits within the ever-evolving digital audit business, which is the clear global market-leader.
As ever, the demand for data analytics & insight talent for this business unit is high
Our client is a true global leader is business consultancy and professional services. Their most profitable and high-growth area sits within the ever-evolving digital audit business, which is the clear global market-leader.
As ever, the demand for data analytics & insight talent for this business unit is high.
Currently, our client wishes to see Manchester or London talent within this area - to work on a hybrid basis - paying c£45,000.
Ideally, you will carry 2-5 years' experience within a data analytics capacity in a commercial environment.
Key drivers of the role:-
Data transformation and modelling (e.g. pandas and scikit-learn in Python);
Data storage and querying (e.g. SQL, Alteryx, Python);
Data visualisation experience (eg PowerBI, Tableau)
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 engineering);
Knowledge of the current data science software platforms.
To be successful in this role you will need to demonstrate the following:
The ability to come up with creative solutions to complex problems;
Experience working and leading a team and on listed/multinational clients
Exceptional analytical and technical aptitude;
Exceptional attention to detail;
The ability to manage time, prioritise tasks and work under tight deadlines;
Ability to coach and support team members;
Concise and clear communication when presenting and explaining results and findings.
Client relationship-building and management skills
Experience in working in complex environments
Experience in coaching junior colleagues and an interest in developing others
2:1 university degree in any subject (or equivilent) with an interest in data analytics, machine learning, data science, data mining & coding
