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.
Job Industry: Data Jobs
Cognos BI Consultant | 3 month initial Contract | NW London | ~£500 per day d.o.e My client, a globally data consultancy, have recently engaged on a project to help…
We are partnered with a global science and research business that are going through a large digital transformation which includes cloud transformation and a big drive within their data &…
Data Engineer (Java, ETL, SQL, Hadoop or Cloudera) - Banking Client - Brussels Rate: £500 - £600 per day Duration: 12 month contract assignment I am currently working with a…
ETL Developer - Wherescape A client of mine is looking for an integration specialist with experience using wherescape. Successful candidates will have understanding on automating the work using wherescape and…
Data Architect - £85 - £90k per annum We are partnered with a fast-growing global SaaS platform business who have gone through large series B funding recently and operate within…
Calling all data scientists! I'm working with an ambitious SaaS-enabled marketplace startup to build out their analytics team. Founded in 2015, with a current team of 85Currently processing over 9…
Data Engineer ( ETL, Hadoop, Python, Spark, R) - Banking Client - Brussels Duration: 12 months assignment Rate: €800-€900 per day The Group Digital Capabilities (GDC) Division ensures competitiveness by…
Business Analyst (alteryx) This is a 3 month contract where we will need a BA with excellent Alteryx skills. There's plenty of Excel to pull logic from too, so experience…
SENIOR DATA ARCHITECT - EMEA ROLE - £90,000 - Hemel Hempstead Purpose statement To accelerate its digital transformation, my client is looking for an experienced Data Architect to help design…
Data Architect (AWS) A client of mine is seeking a Data Architect to join on a 3 month initial contract based in London. They are building a new DWH based…
We are partnered with an exciting data and technology start up, leveraging AI technologies and techniques to support their clients. They are currently going through a large transformation at the…
AWS Architect A client of mine in the financial services industry are seeking an AWS architect to join the team on a DWH project. This is an initial 3 month…
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 | £40,000 - £65,000 |
| Data Scientist | £60,000 - £90,000 |
| Machine Learning Engineer | £65,000 - £90,000 |
| Lead Data Scientist | £90,000 - £120,000 |
| Data Engineer | £60,000 - £90,000 |
| Data Architect | £65,000 - £95,000 |
| Senior Analytics Specialist | £90,000 - £130,000 |
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, 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 rapid expansion. Data 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 and Python capabilities. Industry-specific experience will also help securing specific roles. For Data Scientists, details of your PhD (if you have one) are desirable.
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.
Data Scientist applicants will ideally have studied statistics or mathematics academically. Candidates with PhD qualifications are preferred for high level Data Science roles.
"Stand out from the crowd; talk about what you’ve achieved and how you got there from detailing ds models you’ve worked with to the data operation you’ve helped scale."
— Adam Unwin, Principal Consultant
My Universe is... Data Engineering A fun fact about me is… I’m a huge boxing fan! Favourite Twitter/Instagram account to follow… @Nocontexthearn My favourite place I’ve travelled to is… Thailand My Netflix binge is…Power If I had to eat one meal everyday for the rest of my life, it would be… Steak (peppercorn sauce – medium rare), More...
Writing a CV can be frustrating. You know you could do the job you’re applying to, but how do you write a CV that convinces the Hiring Manager of that? There is a minefield of information out there about what you should and shouldn’t do, so much so that it can leave you even more More...
Like so many people across the world, we are devastated about the wildfires in Australia across New South Wales, South Australia, Victoria, Queensland, Western Australia, and Tasmania. Firefighters continue to battle the flames which has destroyed millions of acres, at least 2,000 homes and over 1 billion animals have died. We wanted to do something More...
My Universe is... Travel, Leisure, and Hospitality. A fun fact about me is… I worked in professional football as a Sport Scientist before before making the change to recruitment. My dissertation was published in a peer reviewed journal article, so…please reference me (Fisher, Blossom and Steele, 2016). The person I’d love to swap places with More...
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