What is Unstructured and Structured Data?
In 2022, we create an estimated 2.5 quintillion bytes of data every day. With such vast volumes of data readily available online, you can understand why businesses are so keen to invest time and money into harnessing it. There are different types of data, which is commonly categorised into two types – structured and unstructured. […]
10 Reasons Why Salary Benchmarking is Important
There are many benefits to salary benchmarking. It all starts with evaluating internal employee salary and benefits packages. You then compare these salaries against external businesses with the same/similar roles. If you haven’t implemented salary benchmarking already, you should make a start! Here are 10 reasons why salary benchmarking is important for your business: Now […]
Mastering D.E.I for Your Data Science Team
What is D.E.I? Diversity and inclusion are increasingly important to data science employees. Now more than ever, the top talent in your industry wants to work with companies capable of offering diverse, flexible, and empathetic working environments. The concept of D.E.I. (Diversity, Equity, and Inclusion) is a major factor in determining which candidates are likely […]
Is Your Data Science CV ATS Friendly?
The first step to landing a data science role is getting your customised CV before a hiring manager or recruiter. Unfortunately, this process isn’t always as simple as it seems. As data science companies look for ways to simplify and digitise the hiring process, many are turning to technology for help. ATS systems, or Applicant […]
A Beginners Guide to Machine Learning Models
Machine learning models allow data science teams to help businesses solve problems and deliver solutions accordingly. Regardless of where you stand in your data science journey, you should be able to identify different machine learning models. The algorithms used for machine learning typically fall under several categories: Supervised Learning, Unsupervised Learning, Reinforcement Learning, and Semi-Supervised […]
How to Increase Productivity in Your Data Science Team
All businesses with a data science team want to improve productivity. But for some organisations, productivity can be an elusive thing. Why do some teams always hit their targets while others tend to fall behind? Is it specific individuals or certain tasks or a lack of process that cause efficiency to slow down? Over time, […]
How to Get More From Your Data Science Recruiting Partner
Recruiting for the data science space is becoming increasingly complex. Talented professionals have more opportunities available to them than ever before, particularly as remote working continues to thrive. At the same time, the “Great Resignation” is placing brands under increasing pressure. There are more gaps to fill and more demands from potential candidates. The only […]
Why Paid Leave Matters – For All Parents
The pandemic has brought on a new urgency to support employee well-being, particularly for parents. The rise of hybrid work means parents are often working extra hours and run the risk of suffering from burnout. The most valuable way to support your employees is not through hybrid work, rather through offering paid parental leave. The […]
Why Your Data Science Talent Might Resign This Year
Holding onto your data science talent is becoming increasingly difficult. Over the last couple of years, changes in the workplace and the rising threat of the pandemic have prompted thousands of data science employees to reconsider their roles. A record 4.5 million Americans quit their jobs in November 2021, and similar resignation statistics are emerging […]
Confidence Strategies That Work In Data Science Interviews
Convincing a data science hiring manager of your competence in an interview relies heavily on confidence. After you’ve captured the attention of a recruitment team with a compelling cover letter and CV, the interview is your opportunity to seal the deal. Unfortunately, whether you’re interacting over video or face-to-face, the pressure to make the right […]