FAQs
What are the key responsibilities of a Data Scientist at Kantar Media?
The key responsibilities include collaborating on team projects for data extraction, transformation, generation, and analysis in Big Data environments, programming in SAS, SQL, Python, and R, advanced Excel use, creating client reports, automating processes, and handling confidential information carefully.
What qualifications are required for this position?
A degree in Statistics or Mathematics is required, along with knowledge of the statistical software SAS, Excel, and SQL.
Are there any preferred skills that would enhance an applicant's profile?
Yes, knowledge of PowerBI, Python, R, and Machine Learning is considered a plus.
What type of work environment does Kantar promote?
Kantar promotes a fair and supportive working environment focused on equality of opportunity, inclusion, and mental health wellbeing.
Is there a focus on diversity at Kantar?
Yes, Kantar is committed to inclusion and diversity, welcoming applications from all sections of society and ensuring there is no discrimination based on various legally protected characteristics.
Will I need to prepare reports for clients in this role?
Yes, creating reports for clients in various formats and following specific templates is part of the job responsibilities.
Is programming experience necessary for this position?
Yes, programming experience in languages such as SAS, SQL, Python, and R is required for both creating new processes and interpreting existing routines.
What is the approach to work-life balance at Kantar?
Kantar supports a flexible working approach, encouraging teams to spend part of their working week in the office while accommodating individual needs to ensure everyone feels included and accepted.
What tools will I be expected to use frequently in this position?
You will be expected to use tools like SAS, SQL, Excel, and potentially PowerBI to perform your job responsibilities effectively.
How does Kantar support employee career progression?
Kantar has a rewarding approach that is linked to performance, ensuring that career progression opportunities are based on individual contributions and deliverables.