Every day, we all make hundreds of interactions which involve data. This will only increase with the advent of new technology, so data jobs are becoming increasingly important. If you’re looking for your next role as a Data Scientist, Data Engineer or Data Analyst, the specialist recruiters at Salt are here to help.
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Job Industry: Data Science & Analytics Jobs
My client is a large manufacturing company. JOB PURPOSE: The Head of Data Science leads a team of DS and projects applying strong expertise in artificial intelligence through use of…
The Head of Data Engineering is primarily responsible for leading the data engineering team, overseeing the development, deployment, and maintenance of scalable data infrastructures and pipelines. The Head of Data…
The field of data encompasses Data Scientists, Data Engineers and Data Analysts. Data Engineers create the systems which the Scientists and Analysts use to examine data. Data Scientists make predictions based on data patterns. Data Analysts use data to answer questions.
| Data Analyst | AED18,000 - AED24,000 |
| Junior Data Scientist | AED20,000 - AED24,000 |
| Data Scientist (Mid, Senior, Head of) | AED25,000 - AED50,000 |
| Data Architect | AED25,000 - AED32,000 |
Opportunities for data-related roles are likely to grow as more companies utilise data for their products and services. Emerging fields like the Internet of Things and Blockchain, which allow businesses to work with data in new ways, are also likely to offer Data Scientists, Data Engineers and Data Analysts more opportunities.
The biggest recent change in the data sector is its increasing focus on AI and advanced Data Analytics. AI is becoming huge, and businesses across most industries are hiring Data Scientists to help them make better business decisions and forecast future performance.
Employers looking to fill data roles will prefer candidates who have previously worked with statistics, analytics and applied mathematics. Naturally, experience working in Data Science, Engineering or Analytics is also a big plus, as is having a good knowledge of machine learning capability and associated algorithms.
Your CV should include relevant work experience, along with technical skills like SQL, Machine Learning, Python capabilities. Industry-specific experience will also help in securing specific roles. For Data Scientists, details of your PhD (if you have one) are desirable including any relevant publications you have in academic journals.
During your interview, you should be prepared to talk about your PhD or any other relevant qualifications you have undertaken. Questions may vary by industry but expect to discuss what you have learned from your previous jobs, and how you would bring that knowledge to the table.
tist applicants will ideally have studied statistics or mathematics academically. Where it is not essential, candidates with PhD qualifications are preferred for high-level Data Science roles or more research-based roles. An MSc in a relevant Data Science field along with a number of years commercial experience will be just as desirable for some clients, it’s important to assess the nature of the company whether it’s research/academic heavy or more real-world problems such as eCommerce or Finance industries.
"A very important tip is to only write on your CV what you are actually able to do. It is easy to list multiple different technologies within Data Science that you have come across but you’ll get found out quickly."
— Caroline Ellis-Delarue , Managing Consultant
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