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

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Vision 2020: Challenges of Today and the Skills of Tomorrow

Yesterday is history. As businesses race to stay competitive and relevant in today’s world, they face unprecedented changes to the way business works. The increasing speed at which digital advancements transform our ways of working has forced all of us, from entry-level to CEO, to adapt. If business leaders can’t add digital leadership to their expertise, they’re in danger of being left behind.  Key Characteristics of a Data & Analytics Strategy Data is driving business and it is increasingly important to build an effective Data & Analytics strategy. To do this, companies need the right people in place. They’ll need to get familiar with pressing topics and trends such as GDPR, AI, and Blockchain. Though GDPR is currently only within the EMEA region, it’s important for all businesses to adopt worldwide as part of their ongoing strategy.  There are three key characteristics businesses will need to bear in mind when formulating their strategy: Trust Robust Capabilities Insights By engaging with these characteristics, business can help secure their enterprise for the long term.  Skills to Have for the Future of Work While technologies such as AI can take over routine tasks allowing human employees more time to solve complex problems, we all need to review what other skills we can contribute.  Whether you’re in school or looking for your next opportunity, here are a few skills which can help you rise above the competition in the next year or two. According the World Economic Forum’s 2018 Future of Jobs Report, these are the skills employers will need, whether they know it yet or not: Cognitive flexibility and critical thinking. This involves logical reasoning, problem sensitivity, and creativity.   Negotiation skills. This applies to every industry from Data Analysis and Software Development to those in commercial and industrial Art and Design fields. Service to others. Are you known for helping those on your team, your supervisors, and those in your industry? These skills will be more important than ever. Judgement and decision making. Getting buy-in from a colleague and offering a strong suggestions to managers and executives at the right moment.  Emotional Intelligence. Can you gauge someone’s reaction by their body language or the slight hesitation before they answer a question or make comment? This skill will become increasingly important as the workforce of the future begins to blend robot and human.  Coordinating and collaborating with others. The ability to adjustable, flexible, and be sensitive to others’ needs. People Management. For managers and higher, it will be crucial to choose the best people for the job, motivate them, and help them develop their talents and skills. Creativity. Employers will need people who can think creatively and not only apply it to new products and services, but also to discern new ways to solve a problem. Critical thinking skills coupled with creativity just may be the one-two punch needed for the workforce of the future. Complex problem-solving. Humans who can analyse data results and have intelligent conversations with the employees who need them will be highly sought after in 2020.  One thing that’s important to note in the list above is the prominence of ‘soft skills’. Though Data & Analytics roles remain the top technical arena, what employers need in the future is individuals with highly developed social skills too. As robots and AI take on mundane, routine jobs, employers will need people who can be, well, human.  Can you bring a group of people with diverse opinions together? Can you morph from cold analytical numbers to warm greetings? Can you explain complex topics in varying degrees to people at different levels – graduates, managers, the boardroom? Continue to harness these skills and you will be even more valuable by 2020.  Have you got 2020 vision for the future? We may have a role for you. We specialise in both Junior and Senior roles.  To learn more, check out our current vacancies or get in touch. 

Scott Lazarus

18. October 2018

How to Succeed in Self-Service BI

Business Intelligence, along with Business Analytics and Big Data, is one of the terms often associated with decision-making processes in organisations.  However, there is little discussion around the importance of what skills decision makers in your organisation need to use the technology efficiently.  In recent years, the development of user-friendly tools for BI processes, Self-Service BI are increasing. Self-Service BI is an approach to BI where anyone in an organisation can collect and organise data for analysis without the assistance of data specialists. As a result of this, many businesses have invested in comprehensive storage and information processing tools. However, many are beginning to find that they are not able to realise the gains of these investments as they were expecting, may often due to underestimating the difficulties of introducing these systems into the current processes and transforming existing knowledge into actual actions and decisions.  In a worst-case scenario, if left unplanned, Self Service BI can sabotage your successful BI deployment by cutting mass user adoption, impairing query performance, failing to reduce report backlogs, and increasing confusion over the “single truth”. To prevent this from happening, here are our top three tips for ensuring the right implementation of SSBI in your company: UNDERSTAND YOUR USERS’ NEEDS There are three major user areas for analytics tools: strategic, tactical and operational. The strategic users make few, but important decisions. The tactical users make many decisions during a week and need updated information daily. Operational users are often closest to the customer, and this group needs data in its own applications in order to carry out a large number of requests and transactions.  Understanding the different needs of each group is necessary to know what information should be available at each given frequency to help scale the BI solution.  HARNESS THE POWER OF ADVANCED USERS To ensure a successful BI deployment, utilising advanced users is key. Self-service BI is not a one-size fits all approach. Casual users usually don’t have the time to learn the tool and will often reach out to ‘Power Users’ to create what they need. Hence, these users can become the go-to resource for creating ad-hoc views of data. Power Users are the ideal advocates for your business’ self-service BI implementation and should be able to help spur user adoption.  UPGRADE INTERNAL COMPETENCIES  Our final tip for a successful implementation is to communicate the new tool thoroughly to the users.  It is highly unlikely that employees who have not been involved in the actual development project will immediately understand what the tool should be used for, who needs it, and what it should replace. By upgrading internal competencies, you can avoid becoming dependent on external assistance. Establishing a cross-organizational BI competence centre of 5-10 members, who meet regularly to share their experiences will help drives and prioritise future use of the tool. The added benefit of a successful implementation is that it will generate new ideas from users for how the organisation can use data to make better decisions. If you have the skillset to implement Business Intelligence solutions, we may have a role for you.  Take a look at our latest opportunities or get in contact with our team. 

Elise Myhren

08. October 2018

Will Artificial Intelligence Revolutionise Eye Healthcare?

Faced with a rapidly expanding and increasingly older population, Healthcare resources in both the UK and US are facing an unprecedented level of demand. With only limited resource available, conversation is beginning to turn to the potential use of Artificial Intelligence (AI) to ease some of the strain. A recent example already seeing success is the current collaboration between Google’s DeepMind and London’s Moorfields Eye Hospital. But, as the lines begin to blur between human and machine-diagnosis, it’s worth questioning what role AI should actually play.  SEEING THE POTENTIAL IN AI Aside from the increase in population, there are many societal elements that are affecting the healthcare system. An increase in illnesses such as diabetes has led to a rise in eye-diseases and increased demand on optometrists.  Fortunately, AI can speed up the process with new technologies allowing systems like DeepMind to make their own diagnosis. Optical Coherence Technology (OCT) allows optometrists to create a 3D scans of people’s eyes. By bouncing near-infrared light of the interior surfaces of the eye, it can create an image that will reveal any abnormalities. DeepMind has been trained on over 15,000 scans and can now form a likely diagnosis, having used algorithms to find common patterns within the data.  Head of DeepMind, Mustafa Suleyman, says: “ [This could] transform the diagnosis, treatment, and management of patients with sight threatening eye conditions [...] around the world.” However, with an accuracy of just over 94%, there is still enough room for error to cause concern, especially given the potential consequences of an incorrect diagnosis.  LOOKING FOR MISTAKES  This doesn’t mean we should rule out the use of AI altogether. Whilst we may not be able to solely rely on the technology for diagnosis, it can be effective when working hand-in-hand with a human skillset.  In particular, by using AI systems for Triage purposes (determining what order patients should be seen in), as opposed to making a full diagnosis, patients demonstrating more significant symptoms could be reported and seen by a medical professional as priority, potentially leading to a higher chance of recovery.  When AI is used as a driver for patient management, as opposed to being viewed as alternative physician, it can create a faster and more efficient process.  To help continue to improve the results produced by DeepMind, the NHS have been given a validated version to use for free for the next five years. Using real-world applications over this time should streamline both their processes, and the technology itself.  A LONG TERM VISION For the time being, AI’s role within Eye Health is one of evolution, not revolution. With the inconsistency of current technology and the impact of incorrect results on people’s sight, it can only be utilised as a supporting tool.  For now, the skillsets of Data Analysts and medical doctors remain too separate to full work hand-in-hand. Add to this the risks of automation bias (a willingness to blindly trust a machine’s output), and the margin of error is too high.  However, that’s not to say that AI can’t and won’t play a significant part in the future of Healthcare. With the technology to detect eye conditions through the lens of your smartphone camera closer than ever to mainstream use, AI is set to play a huge role in outpatient treatment. At this stage, however, that role will be one of risk predictor, not eliminator.  If you think you have the skillset to help take AI to the next level in Healthcare we may have a role for you. Take a look at our latest opportunities or get in contact with our team. 

Nick Mandella

26. September 2018

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