It’s hard to quantify whether it is easy or not easy to get a job in data science and Analytics in the UK. “Easy” means different things to different people. However relevant skill sets, work experience and professional development will certainly make it easier to land a job in Data Science and Analytics in the UK. |
Excellent analytical and problem-solving skills,
Good communication and presentation skills in order to explain your work to people who don't understand the concepts behind data analysis.
Planning, time management and organisational skills
The ability to deliver under pressure and to tight deadlines
Attention to detail.
Team working skills and a collaborative approach.
The following degree subjects may be particularly useful:
computer science data science/computer and data science engineering mathematics mathematics and operational research physics statistics. Some large employers offer data science graduate training schemes, which tend to take a couple of years to complete. Some schemes will accept graduates from any subject area, others will specify the degree subjects they will want.
Internships are available in data science at a number of the bigger employers, you could also approach small to medium-sized enterprises for internship. With smaller organisations you may need to make targeted applications to find out about opportunities.
Most companies like their entry-level data scientists to have gained some work experience before applying for a job, however taking self-directed learning in programming or analysis during your course will also show your enthusiasm for the role.
Sectors such as telecoms, oil and gas, and transport are increasingly using big data to make decisions that could impact their workforce, operations and sales.
Jobs are also available with:
government departments NHS universities and research institutes.
For Your Information: We are currently building an online careers portal - datasciencejobs for those who are aspiring to work within big data or who already work within the field and are looking for careers specifically within the areas of data science, machine learning, deep learning, data analytics, big data and statistics. If you would like to be added to our e-mail list regarding job opportunities and interesting updates please e-mail us at: email@example.com
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