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Harnham About

We are Harnham

Harnham is one of the world’s leading  providers of recruitment services and advice  to the Data and Analytics marketplace 

We support global corporations through to ambitious local start-ups, so whether you need a Credit Risk Manager in London, a Data Scientist in New York, or a Head of Analytics in Frankfurt we can help you achieve your business goals.

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Harnham 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 our recent posts below.

Harnham's Brush with Fame

Harnham have partnered with The Charter School North Dulwich as corporate sponsors of their ‘Secret Charter’ event. The event sees the south London state school selling over 500 postcard-sized original pieces of art to raise funds for their Art, Drama and Music departments. Conceived by local parent Laura Stephens, the original concept was to auction art from both pupils and contributing parents.  Whilst designs from 30 of the school's best art students remain, the scope of contributors has rapidly expanded and now includes the work of local artists alongside celebrated greats including Tracey Emin, Sir Anthony Gormley, Julian Opie, and Gary Hume.  In addition to famous artists, several well-known names have contributed their own designs including James Corden, David Mitchell, Miranda Hart, Jo Brand, Jeremy Corbyn, and Hugh Grant.  The event itself, sponsored by Harnham and others, will be hosted by James Nesbitt, and will take place at Dulwich Picture Gallery on the 15th October 2018.  You can find out how to purchase a postcard and more information about the event here. 

Simon Clarke

17. September 2018

Breaking Code: How Programmers and AI are Shaping the Internet of Tomorrow

Data. It’s what we do. But, before the data is read and analysed, before the engineers lay the foundation of infrastructure, it is the programmers who create the code – the building blocks upon which our tomorrow is built. And once a year, we celebrate the wizards behind the curtain.  In a nod to 8-bit systems, on the 256th day of the year, we celebrate Programmers’ Day. Innovators from around the world gather to share knowledge with leading experts from a variety of disciplines, such as privacy and trust, artificial intelligence, and discovery and identification. Together they will discuss the internet of tomorrow.  The Next Generation of Internet At the Next Generation Internet (NGI), users are empowered to make choices in the control and use of their data. Each field from artificial intelligent agents to distributed ledger technologies support highly secure, transparent, and resilient internet infrastructures. A variety of businesses are able to decide how best to evaluate their data through the use of social models, high accessibility, and language transparency. Seamless interaction of an individual’s environment regardless of age or physical condition will drive the next generation of the internet. But, like all things which progress, practically at the speed of light, there is an element of ‘buyer beware’, or in this case, from ‘coder to user beware’. Caveat Emptor or rather, Caveat Coder The understanding, creation, and use of algorithms has revolutionised technology in ways we couldn’t possibly have imagined a few decades ago. Digital and Quantitative Analysts aim to, with enough data, be able to predict some action or outcome. However, as algorithms learn, there can be severe consequences of unpredictable code.  We create technology to improve our quality of life and to make our tasks more efficient. Through our efforts, we’ve made great strides in medicine, transportation, the sciences, and communication. But, what happens when the algorithms on which the technology is run surpasses the human at the helm? What happens when it builds upon itself faster than we can teach it? Or predict the infinite variable outcomes? Predictive analytics can become useless, or worse dangerous.  Balance is Key Electro-mechanical systems we could test and verify before implementation are a thing of the past, and the role of Machine Learning takes front and centre. Unfortunately, without the ability to test algorithms exhaustively, we must walk a tightrope of test and hope. Faith in systems is a fine balance of Machine Learning and the idea that it is possible to update or rewrite a host of programs, essentially ‘teaching’ the machine how to correct itself. But, who is ultimately responsible? These, and other questions, may balance out in the long run, but until then, basic laws regarding intention or negligence will need to be rethought. Searching for a solution  In every evolution there are growing pains. But, there are also solutions. In the world of tech, it’s important to put the health of society first and profit second, a fine balancing act in itself. Though solutions remain elusive, there are precautions technology companies can employ. One such precaution is to make tech companies responsible for the actions of their products, whether it is lines of rogue code or keeping a close eye on avoiding the tangled mass of ‘spaghetti’ code which can endanger us or our environment. Want to weigh in on the debate and learn how you can help shape the internet of tomorrow? If you’re interested in Big Data and Analytics, we may have a role for you. Check out our current vacancies. To learn more, contact our UK team at +44 20 8408 6070 or email us at info@harnham.com.

Eoin Pierce

13. September 2018

Download our 2018 UK & EU Salary Guides

We are thrilled to announce the release of the 2018 editions of our market-leading Salary Guides for the UK, US and Europe. Having spoken to thousands of Data & Analytics professionals across the globe, we gained invaluable insights into key industry salaries and trends across a wide variety of specialisms and sectors.  Our surveys are created for analysts, by analysts, and offer a detailed, on-the-ground look at what’s concerning talent in the industry. As with the last few years, 2018 has shown us that the data industry continues to grow and shows no sign of slowing, with demand for analysts still easily outstripping supply. The guides include salary and trend analysis across five key specialisms: Data & Technology, Data Science, Digital Analytics, Marketing & Insight, and Risk Analytics. You can download the UK & EU guides here. 

David Farmer

10. September 2018

Our Top Five Tips For Telling Stories With Data

As the Data & Analytics marketplace continues to grow, what is it that makes a candidate stand out? More and more, employers are on the lookout for people with both hard and soft skills; those who cannot only interpret data, but possess the ability to translate and relay that data to key stakeholders.  To convey data in a cohesive, informative, and memorable way, we need to think beyond making something aesthetically pleasing. People connect with stories, be they fictional, personal, historical or otherwise. By utilising universal storytelling techniques, we can share data in a way that people intuitively connect with.  Here are our Top Five Tips for telling stories with data: Start With The Structure  Structures are the essential foundations that sit under any good story. Without a solid structure, the story we are telling can become confusing, distracting and unfocused. When presenting data, it is essential that we work to a clear structure to ensure that we can be understood.  All stories feature three things; a beginning, a middle, and an end. A story told through data is no different: The Beginning: What is the question that has been asked? What are we trying to learn from this information? The Middle: The Data itself. What the numbers say. The End: What insights can we gain from the data, what is the data really telling us? By sticking to this structure, we can ensure that each bit of information gathered is explained with the relevant context required to convey the most information possible.  When looking at several pieces of data, it makes sense to think of these as chapters. They may tell their own smaller story, but in the wider context of an overall narrative, they need to be in the correct order to make sense and not leave anyone confused.  Speak To Your Audience When presenting data, it is crucial to remember who your audience is. Whey they’re a novice, expert, or the chairman of your company, each individual has their own vested interested in what you are showing them. As a Data and Analytics professional, your job is to serve as curator, creating a story that feels tailored to each unique person.  In order to help understand how your audience might be best served by your story, it’s helpful to ask yourself the following questions: What information are the most interesting in? What information do they need to know the most? What is their daily routine?  Is this their big meeting of the day, or one of several back-to-back? What actions will they take off the back of your insights? By asking these questions, you should be able to curate your data in a way that is meaningful for your audience.  Find Your Characters The majority of data is based upon an initial human interaction. From a video viewed, to a product purchased, it’s easy to forget that at the end of the line is a real human being. By bringing this to the forefront of your insights you create a compelling new way to connect with your audience. Consider what this data actually meant when it was first gathered; who was that person and what does this information say about them? If you are able to create ‘personas’ or ‘characters’ from this data, you can present something tangible that people can connect and, potentially, even empathise with.  Even if you use existing data to reference a personal experience, you’re adding a sense of palpability that gives your insights depth.  Painting The Right Picture  As Data Visualisers will tell you, the most elaborate visual is not always the most appropriate way to convey your insights. The key is to always consider what tells the story best. A heat map may be perfect for telling a story of geographical differences but is likely to make no sense when conveying a customer journey.  The beauty of utilising different visual techniques is that they allow you to create an emotional impact with data, fully emphasising the meaning of your insights. David McCandless showcases how data can be visualised in various dynamic ways that create the most amount of meaning possible.  Start Big, Get Smaller Data presentations have the difficult challenge of needing to be both accessible and detailed. By ensuring that you have the big picture covered with enough context, you can ensure that everyone gets the headline takeaway.  Following this, you can highlight further insights that reveal more information for those who need to do a deeper dive. Much like in a good story, whilst you may understand the overall narrative the first time round, looking closer and revisiting certain parts should reveal more insights and nuances.  If you have the skills to turn Data & Analytics insights into compelling stories then we may have a role for you. Register with us or search the hundreds of jobs available on our site. 

Sandra Namatovu

06. September 2018