5 compelling reasons to choose retained talent recruitment
October 12th, 2021
According to a study by Burning Glass Technologies demand for Data Scientists and Data Engineers in the UK tripled over the past five years, rising 231%. In the US, the role has been identified as one of the top 15 jobs to have emerged over the last 5 years and has topped the emerging job list for three years running. This is down to its continued growth across all industries according to LinkedIn’s 2020 Emerging Jobs report.
With multiple routes into this profession, there are opportunities to harness the trend towards hybrid roles were skill sets that wouldn’t traditionally set next to each other are starting to merge. Knowing the skillset that the employers are looking for will put you at an advantage when looking for a job as a Data Scientist.
There is a reason why a Data Scientist role is considered to be one of the current hottest jobs, according to Allen Blue, LinkedIn co-founder “There are very few Data Scientists out there passing out their resumes, Data Scientists are almost all already employed because they’re so much in demand.”
A Data Scientist maintains, collects and cleans the large amounts of data an organisation generates. They then interpret the data, building algorithms to present their findings back to the business to showcase any insights. Data can be utilised to solve any key issues the business is facing in order to create innovative ways to do better.
Data is the commodity of the day. Indeed, estimated that every person on the planet generates 1.7 megabytes of data per second and with all that data, organisations need to make sense of it. Data is crucial for businesses to thrive and help understand behaviours and anticipate trends to then define smarter strategies and decisions.
This profession is very rewarding because it enables you to showcase what you know. You also get to see tangible results from your recommendations. As companies seek better, smarter ways to work with their data they turn to Data Scientist’s to help predict future trends.
The competition is high and there are many different areas of data science you can get involved in:
Artificial Intelligence, a solution that uses machine-based intelligence to enhance performance on a much larger scale than humans can reach on their own. If you are interested in this area of data science, it would be beneficial to know: Microsoft Azure and Google Cloud Platform
Machine Learning is an application under AI that educates a system to learn from the data it has generated and make it more advanced. Skills within Machine Learning to learn would be: Microsoft Azure, Oracle
Data Mining is the process of extracting large volumes of raw data and turning it into relevant and useful information. Data Mining tools to learn: IBM, SPSS, Oracle, SAS.
Cloud computing is a solution that has allowed many companies to adapt and migrate their data infrastructure from local to cloud. Cloud computing tools to learn: AWS, Microsoft Azure, IaaS, SaaS
Business Intelligence refers to the process of finding patterns in historical data. A Data Scientist would build predictive models in order to draw upon any insights from the data. This process involves data handling and tools such as SQL, PowerBI and Excel.
Data Visualisation is the visual representation of data. Using scripting or a range of visual tools such as graphs or charts help a Data Scientist break data sets down and make sense of their findings. The analysis a Data Scientist runs can be very technical, visuals provide easier interpretation of their work for less technical areas of the business. Data Visualisation tools to learn: Tableau.
An interview in this field is a skill-based process that opens up the role to people with diverse backgrounds. Choosing a recruiter who specialises in your area of expertise will help you refine, not only the type of business you would enjoy working for but also where best your skills will fit.
You can learn data science without going to university and having a degree. You will notice that many businesses ask for degrees, however, don’t be put off, if you don’t have one alternative route may be accepted. You will need an array of skills or certifications to prove you can do the job.
Many Data Scientists have a PhD, Masters or a Bachelor’s degree and if you haven’t, enrolling on courses or boot camps may be a good alternative.
Data is rapidly becoming the world’s most valuable resource. With that comes a lot of responsibility and care. Data Scientists help ensure its efficacy and the advice provided help a business negotiate often unchartered waters.
Data science is a very broad industry that encompasses more than one knowledge branch. It is forever evolving so to remain relevant Data Scientists need to keep abreast of new methodologies, technologies and trends.
Here are some links to help kick start your data science career –
S2DS, Europe’s largest data science training programme – https://s2ds.org/
JBI, Since 1995 – a trusted provider of Technology training to the UK’s leading organisations – https://jbinternational.co.uk/
BrainStation is the global leader in digital skills training, empowering businesses and brands to succeed in the digital age. – https://brainstation.io/
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