You may think this crazy but I posed this very question to a panel of thought-leaders at the Cloud and Cyber Security Expo yesterday and not only did the panel support the idea, the audience were in unanimous agreement. The panel was formed of Richard Freeman of JustGiving, Alejandro Saucedo of The Institute for Ethical AI and Machine Learning, Mohammad Shokoohi-Yekta of Stanford University, Claus Bendtsen of AstraZeneca and Krish Panesar of Diabetes Digital Media and they presented their case for investing in skills for machine learning success which was fascinating. Once the talk was over, the panel opened the room for questions and I couldn’t help but ask what they thought of the current landscape within Data Science. Today we have more jobs than suitable candidates and more requirements than skills. We have current ‘scientists’ who were developers, guerrillas or engineers before the trend-cycle who are not remotely equipped to do all of the things now required of them. While I don’t think there’s a quick fix for the shrinking talent pool, I am an advocate for devising a list of more specific mandates under an umbrella term of Data Scientist that cater for each branch of ‘Data Science’ as we know it. Be that a Data Engineer, Data Analyst or Researcher, a scientist’s job description is surely a combination of all three and more? I have recently produced a comprehensive white paper on this very topic which offers insight, opinion and statistics on the evolution of Data Science and includes an on-page debate between thought-leaders on whether it’s time for the term to go. I would love to hear your views on the matter and see if you think it’s time to scrap the term and if you would like a copy of our white paper – please request a copy below. Request a copy of our white paper
14 Mar 2019
EMEA CISONegotiableLondon Senior Finance Business Partner£80,000 - £85,000 per annum + bonus + benefitsSurrey Project Manager£500 - £550 per dayWindsor Head of HR£65,000 - £75,000 per annum + benefits packageLondon Management Accounting Manager£400 - £450 per dayLondon Commercial Finance Manager£60,000 - £70,000 per annum + benefits packageReading AWS Automation Engineer£55,000 - £65,000 per annumLondon Internal Audit Manager £50,000 - £80,000 per annumEdinburgh A wider selection of current vacancies can be viewed on our opportunities page or get in touch for a confidential discussion about how Stanton House can help you hire great people or assist with your own career goals.
13 Mar 2019
Data Science was coined in 2001 by William Cleveland who wrote ‘Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics’ but while history paints it at almost a decade old, the phrase was popularised several years later by D.J. Patil and Jeff Hammerbacher who described themselves as Data Scientists at LinkedIn and Facebook. Over the past decade, the role has been elevated in what has been widely described as the third industrial revolution. It has been coined the sexiest job of the 21st century and every organisation wants one in the move to Big Data but has the role evolved past its meaning and is it time we replaced it? Patil famously described his role as ‘making big data small’ but as the role has come to incorporate so much more; with expectations rocketing and a talent pool shrinking, I explore whether it’s time to scrap the term Data Scientist altogether and replace it with a list of more specific mandates. I meet thought-leaders from across the world and ask them this very question and to my; and perhaps your, surprise, the movement is gaining momentum with experts claiming the term Data Scientist has become muddied, misunderstood, devalued and essentially, redundant. In this insight paper we will look back at Data Science before it became fashionable, discuss its vast achievements and see what the future holds. We will also inspect the people challenges facing the data space and follow its evolution to try and find a solution for the forever-shrinking pool of technological talent. Request a copy of our white paper
01 Mar 2019
Senior Deep Learning Researcher£45,000 - £70,000 per annumLondon Lead IT Infastructure Engineer£60,000 - £75,000 per annumEdinburgh Senior Finance Business Partner£80,000 - £85,000 per annum + bonus + benefitsSurrey Security Architecture DirectorUp to £150,000 per annum + £20,000 bonusLondon SAP OTC ConsultantNegotiableLondon Divisional Finance Director£90,000 - £100,000 per annum + bonus + benefitsSlough, Berkshire IFRS 17 Lead£500 - £900 per dayLondon A wider selection of current vacancies can be viewed on our opportunities page or get in touch for a confidential discussion about how Stanton House can help you hire great people or assist with your own career goals.
25 Feb 2019
Senior Finance Business Partner£80,000 - £85,000 per annum + bonus + packageSurrey R2R Lead£550 - £650 per daySouth West England Security Architecture DirectorUp to £150,000 per annum + £20,000 bonusLondon Talent and Capability Manager£70,000 - £75,000 per annum + £5,000 car allowance and 15% bonusBerkshire AWS Automation Engineer£55,000 - £65,000 per annumLondon Transformation Business Partner£650 - £800 per dayLondon A wider selection of current vacancies can be viewed on our opportunities page or get in touch for a confidential discussion about how Stanton House can help you hire great people or assist with your own career goals.
06 Feb 2019
I recently asked my network if the term Data Scientist had had it's day and while I thought some would agree, I didn't think it would be quite as many. 28% of professionals in my network believe it's time to eradicate the term Data Science but with the so-called sexiest job of the 21st century facing disenchantment from the people who are most qualified for the job, I caught up with some thought-leaders to try and find out why. Over the last three months I have been asking industry-experts around the world why they think it's time to scrap the term Data Scientist and thought I'd share some of the responses with you below. One professional in my network said; "This is such a relevant debate as the term Data Scientist has become muddied, a term that is so misunderstood and overused it makes me wonder if the perfect Data Scientist exists. I don’t even like to use the term anymore because actually, I have no idea what it means. It’s like a unicorn with so many required skills and specialisms that they can’t possibly exist." Another Data Science professional in my network said: “I don't like the term Data Scientist - for me; along with Big Data, it's something that's bandied about but has a different meaning for everybody - or no meaning at all - It somehow manages to be both too broad and too vague at the same time.” My white paper brings the debate to life and features more than 15 professionals, thought-leaders and industry experts who petition to keep the term Data Science or prove it's a thing of the past. To receive a copy of the exclusive paper once published, please do get in touch but in the meantime join the debate - is it time to scrap the term Data Scientist?
04 Feb 2019
Director of Cyber Consulting£140,000 - £175,000 per annum + large company benefitsLondon Finance Transformation Lead£850 - £950 per dayBristol Treasury Reporting Executive£55,000 - £65,000 per annum + car + benefitsLondon Finance Operations Manager£60,000 - £65,000 per annum Berkshire Director of Operational Reporting£900 - £1,000 per dayManchester Programme Manager - Financial ServicesNegotiable Edinburgh HR Business Partner£60,000 - £70,000 per annum + benefitsBuckinghamshire Mid Front-End DeveloperNegotiableLondon A wider selection of current vacancies can be viewed on our opportunities page or get in touch for a confidential discussion about how Stanton House can help you hire great people or assist with your own career goals.
30 Jan 2019
We often ask our network to describe their ideal place of work from the salary to location to benefits and culture. We ask everything and anything we can to gather a better insight into a candidate’s perfect place to work – however weird that may be. We find ourselves comparing start-ups to corporates, the tech world to the Financial Services space, the wants of millennials and the needs of their elders but is anyone truly honest about what they want? Today I received an InMail that was so refreshingly candid and witty that I wanted to share it with you to remind you to go after your vision, however idyllic. I was approached by a Data Scientist with a phenomenal resume behind him. He started his message by writing: ‘I hope this isn’t too blunt, but it helps whittle down opportunities quite quickly’ – He had my attention. He then went on to summarise his perfect role in a 9-point checklist which has honestly made my Friday, presented an exciting challenge and presented a reminder to go after that dream job. This is his vision, possible yours and perhaps mine, minus the Star Wars t-shirt: 1. A workplace where I can wear a t-shirt (probably Star Wars related) and jeans/ shorts every day. 2. I can work from home as often as needed, typically I don’t but it’s nice to have the flexibility. 3. Table football and table tennis. 4. Good engineering support to get models into production. 5. A team of at least 10 Data Scientists. 6. Regular freebies – be it food, drinks or anything else. 7. No tube travel. 8. A salary of £60k (plus an additional £1,000 for every minute additional commute door to door, which is currently 25 minutes, and it will take me 15 minutes to cycle to the station.) 9. Plus, an additional £10,000 for every requirement from 1-8 that isn’t met. While I might not find a company willing to pay £1,000 a minute for not meeting demands; if I do I might not give it away, I have a pretty good chance of ticking the majority of the boxes on the list and there’s no reason why you wouldn’t be able to find your ‘perfect’ either. I’d love to hear from you – what does your ideal company look like?
29 Jan 2019
I didn’t, until yesterday when I attended the Government ICT Conference to see how the Government is transforming itself through technology. I was fascinated by a particular talk given by Cradlepoint which explored the simple yet sheer difference between 4 and 5G and explained it to the audience in seconds. Using Wembley Stadium as an example. Anyone who has visited will share the pain of trying to snap up a signal but; apparently, it has the highest speed in London. Stood alone in the arena you would have the quickest internet speed imaginable but shared with 90,000 spectators, you’ll be lucky to get a bar. 5G however is an endpoint to endpoint connection meaning it isn’t distributed amongst whoever might be sharing the connection with you. Whether you’re stood alone or next to 89,999 others – you will have incredible signal. Vodafone and EE are both trialling 5G with the hope of introducing it by 2020 and while EE has started its experiment in the condensed areas of Manchester and London, Vodafone is trialling the tool in rural areas to ensure they can both achieve blanket coverage. While the Telecoms industry look for the next technology milestone, other companies are looking to improve the current offering by finding ‘not-spots’ for 4G and fixing them. Cradlepoint used the Metropolitan Police as an example of how 4G can be improved by using the analogy of a person in trouble. If you were underground and needed to contact the emergency services – you couldn’t so the company are ensuring 4G is built in the corners of the UK where people need it the most. On the other side of the spectrum – Police forces are becoming increasingly remote and reliant on 4G meaning our safety is truly dependent on signal. Are you fascinated by the move to 5G?
24 Jan 2019
Technical Operations ManagerNegotiable Hertfordshire Security Architecture DirectorUp to £150,000 per annum + £20,000 bonusLondon SSC Lead£650 - £750 per daySouth West England FP&A Lead£80,000 to £90,000 per annum + bonus + benefitsLondon Assistant Strategy Manager - Retail£35,000 - £40,000 per annumBuckinghamshire In-House Recruiter£40,000 - £45,000 per annum + benefitsSurrey Programme Planner£600 - £650 per dayLondon A wider selection of current vacancies can be viewed on our opportunities page or get in touch for a confidential discussion about how Stanton House can help you hire great people or assist with your own career goals.
22 Jan 2019
I have been exploring the idea of the Ideal Data Scientist and have surveyed more than 1,000 people in my network to see; in their eyes, what they think that person might look like. I meet with organisations daily who are all on a quest to improve their technology offering and find their very own version of the perfect Data Scientist but with each presenting a completely unique picture of who that might be, I'm definitely questioning if the ideal Data Scientist even exists. Some require a professional with a PhD and further post-doctorate while others prefer a person without a degree or commercial experience but while the requirements change massively in terms of education and social behaviour, I was keen to explore what they believed a Data Scientist should do to stand out from the crowd. The answer predominantly lays within upskilling with 83% of respondents stating the ideal Data Scientist must train themselves in how to use new programmes, software or learning. A further 46% expect professionals to speak at relevant events and another 44% claim they should contribute to content or white papers. Others believe the perfect professional uses their knowledge for the greater good by educating their colleagues on the data products they develop to promote awareness, usage and future responsibility while some expect them to be expert in relevant social media accounts. While I am starting to paint a picture of who the ideal Data Scientist might be, I’d like to hear from you and find out what you think they should do to stand out from the crowd. So, what should a Data Scientist do to get noticed? Join the conversation and request a copy of our insight paper focused on the future of Data Science.
22 Jan 2019
Take a look at what our consultants have been discussing this week... Finance Transformation: How do you measure success?“Our guests agreed that to create a successful Finance Transformation you must outline how best to measure success, identify your key metrics and explore how they align with your strategy but there remains no standardised or straight-forward method of measuring success and I'd like to find out how you tackle this.” - Josh White Does the ideal Data Scientist exist and where should we sit them?“This has made me wonder if the turnover of Data Science professionals is really linked to where they sit in a company. If we were allowing them to sit on a desk where they will learn, develop and progress as a tech professional will they be more inclined to stay on board? Are we stunting their growth by sitting them next to people they will never technically learn from?.” – Alex Walsh The Scottish Labour Market is outperforming the UK but is it a good thing for small and medium enterprises?“International giants are moving to Scotland in a bid to capture the country’s top talent but while it’s boosting the books, SMEs are struggling to attract existing technology professionals who are interested in working for techy start-ups, corporate giants and not much in-between.” – Izzy Brown Who is the ideal CISO and is their route to c-suite changing?“CISOs are now expected to address the board and have a relationship with the CEO, discuss whole business issues, be personable, approachable and an all-round communicator but with a new level of sophistication and a heap of responsibility, are we narrowing down the profile of the ideal CISO?” – Ryan Surry To read more of our insightful content visit our Blog.
15 Jan 2019