Coronavirus Update: What to expect from Harnham

David Farmer our consultant managing the role
Posting date: 3/19/2020 8:51 AM
As we learn more about COVID-19, we want to inform you of the proactive measures Harnham have taken to ensure the health and safety of our employees, while continuing to provide the best possible service to you. 

The majority of our service offering will be unaffected by the current situation. All staff are continuing to work remotely and are on hand to support you, although you may experience slight delays in communication or find our phone lines busy. In these instances, we'd ask that you contact the member of the Harnham team that you were last in contact with directly. If you need to find their details, you can contact them via their online profile. Alternatively, you can also contact us via our social media channels and directly via email to our main inbox (UK/EU and USA). 

Our Operations and Technology team have been working around the clock over the past weeks to ensure that we are able to continue running processes virtually. This has ensured that we are able to provide our clients with virtual meeting spaces, alongside the opportunity to conduct video interviews and calls without the need for face to face interaction. 

We are working with a number of businesses who are continuing to hire, supporting them as they begin putting in place alternative processes. We will be in contact with all candidates who are currently in any process to update on the current situation or any change to process. 

If you are currently looking for a new role, all our open vacancies have been updated on our website which you can view here

In the coming weeks our Marketing Team will be running a number of events such as webinars and online Q&A sessions. I would advise that if you are not already following us on Social Media (Twitter and LinkedIn), that you do so to ensure you don’t miss these. We are also working to provide a range of comprehensive guides covering the challenges that you may face in the current climate. 

I’d also like to add, if you have yet to take part in the Harnham 2020 Salary Survey please take a moment to do so, we will be extending this for a further two weeks due to unprecedented demand. All those that take part will be the first to receive a copy of the report. 

In the meantime, we're running as close to business as normal as we possibly can, and are still here to support you with any hiring or job-seeking needs. We hope that you are able to look after yourself through this trying time and we look forward to working closely together again when normality returns.  

Related blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out the related posts below.

There’s Women At The Forefront Of Every Industry: A Q&A With Rachel Stuve

We recently had the opportunity to talk to Rachel Stuve, one of LinkedIn’s Top Voices in Data Science & Analytics, and a leading Director of Data teams. An expert in her field, Stuve has a wide breadth of experience. Having attended college in automotive-heavy Michigan, her first role was analysing the auto-industry at Chrysler. Shortly after she moved into local government, digitising and integrating their law enforcement processes before working on a state-wide Data-sharing initiative.  Most recently, however, Stuve has been focusing her efforts in Healthcare. While it might seem to many as a highly-specialised, inaccessible industry, Stuve disagrees. “It’s all about transferable skills,” she says. “You may be looking at different sets of Data with a healthcare provider but, essentially, the analysis follows the same principles”. Despite this, Stuve does admit that there are some hurdles to overcome, particularly when it comes to terminology.  “Admittedly the jargon does take some getting used to, and there is a lot of it.”  But the main differences are less scientific and more to do with infrastructure. Unlike like many Data-led industries, Health Insurers do not deliver directly to consumers. In fact, their main relationship is with Healthcare Providers.  “It’s not the same as getting a mortgage, you don’t approach your insurer to be provided with care. Your direct service is with the Healthcare provider, the hospital, or whoever, and it’s the insurer’s job to cover the payments. Part of the challenge is working out which providers offer the best value for money and, also, which ones offer quality care”. This means managing a team comprised of both Data Scientists and Epidemiologist, specialists who can better identify which treatments provide the most success, at the lowest cost. So, how can you get a team with different backgrounds and approaches to work in harmony with one another? “So much of a project’s success relies on agreeing to the right goals at the start. If you can get everyone to agree on what success looks like, be it a 10, 20% profit increase or whatever, you know you’re all working towards the same thing. Sure, you may have some debate around statistical conversations, but ultimately you’re all pulling in the same direction. "Stuve also stresses the importance of including the right people at the right stage of each project. Too often end-users are not included in the early stages of Data projects, leading to huge gaps in knowledge. Stuve notes: “If those who have true knowledge of what they need from a project are left out of the initial scoping, things will almost certainly be missed” In addition to her work in Healthcare, Stuve also invests in female-led start-ups with her work at Golden Seeds, something that is close to her heart.  “I love Golden Seeds. There have been numerous studies that show that female-run businesses produce higher returns, and yet they only receive a fraction of the investment that male-led businesses do.” She points to a recent article in the Harvard Business Review as to why this may be. According to the article, there is an inherent gender bias in the investment process where male entrepreneurs are asked about the potential of their businesses. Female entrepreneurs, on the other hand, were more likely to be asked purely risk-mitigating questions.  “People invest in optimism, so if you aren’t allowing an entrepreneur to sell you the dream, you’re far less likely to invest in them”.  Stuve also believes that there’s a perception that female-led businesses are less likely to be innovative: “I want to change the idea that these businesses are, for want of a better word, ‘girly’ and purely focused on clothes, food and retail. This is not the case from what I’ve seen, and women are at the forefront of all sorts of industries from biotech, to energy, to any number of specialisms”.  So, what does she look for when investing? “Sure I’m looking for an innovative idea that fulfils a business need, but I’m also looking to invest in the person. Are they realistic? Are they are strong leader? Do they know their own weaknesses and have they built up a team around them who can pick up where they’re not as strong?” “There’s also, unfortunately, a double-standard when it comes to the perception of male and female leaders. This means how they carry themselves makes a big difference, particularly if they’re looking for further investment in the future.” Stuve is well aware of the difficulties women face in male-dominated industries, having found herself as the sole female in many of her teams, increasingly so as she progressed into management. Fortunately, she sees light at the end of the tunnel: “Companies are beginning to see the value in broadening the diversity of their teams and there’s definitely been a shift in the corporate conversation around this.”  “Also, if you look for it, there is a fantastic network of women in Data out there. Reaching out tends to have this snowballing effect as well. You connect with one person, who introduces you to another, who introduces you to another, and soon you discover this amazing community of exceptional women”.  If you’d like to hear more from Rachel, you can follow her LinkedIn for regular updates and ideas.  For more information on the current states of Diversity in Data & Analytics, you can download our report on the subject here.  If you’re looking to build out your team or for a new opportunity, you can get in touch with one of our expert consultants or view our latest opportunities here. 

What Does The Fourth Industrial Revolution Look Like?

We’re in the next stage of the fourth Industrial Revolution and technologies continue to merge. No longer is advancement as simple as adding “tech” to the end of a word - sorry Fintech, InsurTech, HRTech, and the rest. Now technologies stand together as each becomes a separate piece of how tech operates in the business world. AI and IoT have merged to become AIoT. Data is as much commodity as it is information to fuel business growth. Computer Vision partnered with AI is teaching computers to convert their ones and zeros to images humans take for granted.   In a word, it’s a transformative time for every industry and every industry is taking advantage of the benefits in one way or another. Smart manufacturing. Human Resources. Marketing. Even insurance has joined the party. But, with so many advancements, we thought we’d take a look at just the tip of the iceberg, starting with A, B, and C.  AI Meets IoT  We’ve all heard how AI and the Internet of Things (wearable and smart devices etc.) are being used in the Health sector. With the kind of real-time Data available, patients, insurers, and medical professionals can map out health plans based on wearable devices to track patient health and encourage preventative care.  Indeed, one insurance company is embracing these Data trends to ramp up the speed and efficiency of their data. Using Machine Learning and IoT sensors to develop an AI-based solution, customer information is used to match clients with the right policies tailored to their needs.  Car insurance is another industry to benefit. Insurers are able to collect real-time driving data which they can analyse to determine risk or offer discounted policies for good driving. This kind of information can also be used to revisit and reconstruct accident scenes to figure out what happened and who’s at fault.  Big Data, Big Money We’ve all heard the phrase ‘Data Is The New Oil’ by now, which I’m sure we can all agree, just means Data is a resource everybody wants and is willing to pay a lot for. But the differences between Data and Oil are two-fold; Data has the potential to be infinite, and it tells us about what oil cannot; the human experience.  Cloud technologies, edge hardware, and the IoT have helped shape the digitisation of objects, people, and organisations. From sensors to wearable devices, more and more data is being collected, allowing us to be more connected than ever before. It’s also providing more information to the tech giants than ever before. For example, Amazon’s Ring doorbell is logging every motion around it and can pinpoint the time to millisecond.   Add these technologies to Natural Language Processing (NLP) and watch the world around us draw value from and understand our Data like never before. The wave of Big Data value shows no signs of slowing down. Computer Vision in Business In the last few years, Computer Vision has been making great strides in the business world. Yet the Data required for processing power and memory can still be impacted by image quality. The opportunities  are alive with possibility and, from small businesses to enterprise solutions, Computer Vision has seen a variety of industries finding practical business uses.  Below are just a few additional areas Computer Vision is making its mark. Facial Recognition – providing surveillance and security systems in such areas as police work, payment portals, and retail stores.Digital Marketing – sorting and analysing online images to target ad campaigns to the right audiences.Financial Institutions –preventing fraud, allowing mobile deposits, analysing handwriting, and beyond. With the global market for fourth industry technologies predicted to be between $17.4 billion and $48.32 billion by 2023, now is the time to find your focus within the industry.  Ready to take the next step in your career? Whether you’re interested in AI, Big Data and Analytics, Computer Vision or more, we may have a role for you. Take a look at our current opportunities or get in touch with one of our expert consultants to find out more.  

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