The Three Pillars of Data with Natalia Koupanou

Natalia Koupanou is a Senior Data Science Manager at Tide. She joins Wendy this week on Would You Data Scientist to discuss her role at Tide, how she pivoted into data, how you can too, the rise in fintech, the three pillars of data, hiring failures, and so much more. You can find Natalia's article ‘The secret sauce for growing from a data analyst to a data scientist' in the resources below. 

 

KEY TAKEAWAYS

• Tide is the leading provider of UK SME business accounts and one of the fastest-growing FinTechs in the UK. They're used by over 370,000 businesses and have raised over £200 million in funding.
• Data science has three pillars, software engineering, maths and statistics, and domain expertise. Depending on your background you should focus on one of those pillars. If you're missing one then you should develop your skills in it. 
• You should be doing things outside of work and study to develop your skills in data. Employers really like people who have the motivation to grow. 
• Employers shouldn't make hiring decisions on how long someone has worked somewhere or if there are gaps in their CV. Someone leaving a job quickly could be because of failings within the company itself, not with the employee. 
• Mitigating bias within your data set can lead to an incomplete data set. There is a trade off between accuracy and fairness. 

BEST MOMENTS

‘The key advice is to get your hands dirty'

‘They look for talent and the motivation to grow' 

‘Your work can speak for itself sometimes' 

 

VALUABLE RESOURCES

Bianca on LinkedIn

linkedin.com/in/ethicalrecruiter

qwerkrecruitment.com

@qwerkrec on socials

The secret sauce for growing from a data analyst to a data scientist

Natalia on LinkedIn

 

ABOUT THE HOST

Wendy Gannon started Qwerk Recruitment in the middle of the Covid Pandemic to disrupt the recruitment sector with ETHICAL data recruitment and treat everyone with love, dignity and respect. Avid Music photographer of 15 years.

 

PODCAST DESCRIPTION

Interviewing successful Data Scientists to find out about their journey into Data Science and any struggles they've faced to help next generation Data Scientists from all walks of life to access their dream career.

This show was brought to you by Progressive Media

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