Apply



Job information

  • Data Scientist
  • Location: City of London, London
  • Salary: £40000 - £50000 per annum
  • Reference: 51928/KP

Already Registered? Login to Apply

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.

HOW AI AFFECTS US FROM JOURNALISM TO POLITICS

How AI Affects Us from Journalism to Politics

It’s been nearly 40 years since the War Games movie was released. Remember the computer voice, JOSHUA, who asked the infamous, “Would you like to play a game?”. The computer had been programmed to learn. You might call it a forerunner of Artificial Intelligence (AI) today. Except AI is no longer the little boy who becomes a stand-in for a grieving family. Now, we’re no longer watching a movie about AI, we’re living in its times. But unlike a movie, we won’t find a solution after 90-minutes to two hours. Now, we must be cautious and pay attention or we will be leapfrogged by our own inventions. Can we change course at this late stage? As we enter a new decade, let’s take a look at some of the concerns and solutions posed by Amy Webb, author of The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity.  How Did We Get Here? As Christmas approaches, we are cajoled by memories and makers to buy back our past and cement our futures with things. Our desires for instant gratification keep us from planning for AI properly. While it can be fun to watch AI play against Chess champions or worrisome to watch it direct our buying decisions, we remain secure in that its not yet to its full potential. But elements such as facial recognition and realistic generation cause concern for a number of reasons. Not the least of which is what will happen when systems make our choices for us. From the Big 5 of Tech to your local commercial or paper, our minds are already often made up. And even when we’re presented with the truth, we may not even realise it because our AI capabilities have grown exponentially and continue to grow making us wonder…what if? So, What Can We Do? Businesses, Universities, and the Media all have a part to play. And in our image-centric world, the greatest of these is Media. Universities can blend technical skills with soft skills and blend in degrees such as philosophy, cultural anthropology, and microeconomics just to name a few. The blending of these skills can offer a more robust understanding of the world around us.  Businesses can work to ensure a more diverse staff and improve inclusion. Shareholders and investors can help by slowing down when considering investments in AI to allow for determining risk and bias before moving forward. And when it comes to the Media, there’s general agreement the public needs greater media literacy. While AI-focused accusations of deepfakes in news and on television abound, there is a greater concern in that much of what people believe to be fake, isn’t. So, the question becomes, how does the media generate trust in a public that no longer believes what it  reads, sees, or hears?  It’s this casting of doubt which is the greater danger. Why? Because it requires no technology at all. While it’s best to be informed, it can be tricky to navigate in today’s world. So, it’s up to not only the news consumers, but is up to researchers, journalists, and platforms to separate the wheat from the chaff. Or in this case, the real from the fake before the news reaches its audience. From Socrates who taught his students to question what they learned to the students of the 20th century expected to remember only what was needed for a test; we have come full circle. But at a unique time in our world, in which the questioning has not much to do with challenging ourselves but is at best used to sow distrust.  While tech companies like Facebook and Google have jumped on the bandwagon to expose fakes, others are moving into how to build trust. Again. At best, these startups offer comparisons of videos and images as the human eye works to discern the difference.  But while tech may be advancing technological wonders by leaps and bounds, there remains a solid grounding of the human element. Humans are needed as content moderators to dispel fiction from truth. And in the media? There’s a renewed focus on training journalists to fact check, detect, and verify their stories. The human element adds a layer of nuance machines can’t yet emulate. If you’re interested in AI, Big Data and Digital or Web Analytics, 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. 

How to Succeed in Self-Service BI

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. 

HARNHAM SPONSOR MEASURECAMP

HARNHAM SPONSOR MEASURECAMP

Harnham – Measurecamp Sponsors 2015 - LondonBy Oscar Rousseau, Recruitment ConsultantWe do our upmost to make work fun. Evidence of this is our continued support of important events in the Data & Analytics industry like Measure Camp – the UK’s largest Web Analytics conference.  In March 2015 our Digital analytics team once again attended – and sponsored - the London conference which was attended by some of the biggest names in web analytics including British Airways and Webtrends. Here, we networked with our existing candidates and had the opportunity to develop new relationships with those whom we had not yet worked with. The conference also provided a great chance to promote our Data & Analytics Salary Guide, buy some drinks for our candidates and gain valuable industry insight. One thought that dominated the conference was this:  how is the media affecting web analytics?  There is a perception within the media that constant data monitoring and user tracking is negative. But, obviously, Web Analysts have their own take on this; their job is to optimise and personalise websites by gaining as much information as possible.The question is a tricky one to answer, but one thing is certain: our reputation is growing. Since our second stint at Measure Camp we’ve helped candidates find great jobs and clients find even better candidates.See all our tweets and photos at https://twitter.com/Analytics_Sam

Real Time Pricing - Coming to a store near you

Real Time Pricing - Coming to a store near you

Real-time pricing: coming to a store near you.Personal shopping is on the brink of taking on a whole new meaning. The advancement of mobile technology and the information held on individuals' shopping histories means product prices could soon adapt as shoppers walk up and down their supermarket aisle.Gone are the days of retailers only being able to actively manage the price of a small number of products once a week. Algorithmic pricing and real-time competitive pricing data allows the changing of product prices on the fly.Amazon is at the forefront of such "real-time pricing" initiatives, which have traditionally been the preserve of online-only retailers.However, brick-and-mortar retailers in the US are showing their UK counterparts the limitless possibilities when it comes to dynamic pricing.Independent consumer electronics retailer Abt Electronics pipes competitive pricing data gathered by Dynamite Data into its point-of-sale systems to allow staff to negotiate prices at the point-of-sale, according to Dynamite Data chief executive Diana Schulz.Meanwhile, another one of Dynamite Data’s unnamed clients uses electronic shelf labels and re-prices every product in their stores each morning based on the prices of its rivals.The ability to change prices dynamically is not simply the preserve of all-powerful brands such as Walmart or Target either.Schulz explained that her company has "seen these types of technologies in both large and mid-sized retailers" despite the "investment in technology and competitive data that is typically needed".Commercial sensitivitiesBack in the UK things are not quite as close to a Minority Report-style personalized shopping experience.Even online-only specialists Shop Direct and Ocado claim they do not engage in real-time pricing, while those that do heavily use real-time data to adapt their prices such as the airline brands are reluctant to discuss the issues.EasyJet declined to comment when contacted because of commercial sensitivities around discussing pricing-related issues.Grocers Tesco, Asda and  Sainsbury’s have all claimed they do not engage in real-time pricing, with the latter two both citing the logistical difficulties in aligning such a strategy across their physical stores and online presence.A Sainsbury’s spokesman claims real-time pricing would result in "chaos", while an Asda spokeswoman saying such a strategy would be a "nightmare".Yet, despite such a negative perspective from UK brands, experts are confident real-time pricing will arrive on these shores sooner or later.Simon Spyer, a partner of VCCP data arm Conduit who began his career working on the Sainsbury's Nectar business, believes the UK will begin to see "more and more" of matching rivals’ prices dynamically, particularly in the grocery and electrical sectors.He explained that real-time pricing is likely to affect "anything where the product is largely commoditized" and in instances where the only way retailers can differentiate that product is by "being really keen on price".Electronic labelsAs it stands the major barrier for implementing "real-time pricing" in-store is changing the prices to match the online price, a hurdle that could be removed by the electronic shelf labels being pioneered in the US.Schemes like Tesco Price Promise and Asda Price Guarantee already use real-time data to 'price match'In the UK various retailers have dipped their toes into the water when it comes to electronic shelf-labeling including a Nisa Local store in Shrewsbury that launched a trial in August last year to carry out automatic pricing and timed promotional updates, alongside QR codes and meal deals.Tesco has also experimented with electronic labeling on various occasions with trials in 2006 and 2008, but the retail giant has yet to combine real-time pricing with its electronic labels.Spyer claims "the capability is definitely there both online and offline – it is whether there is a business rationale for investing in it".However, with major UK supermarkets lacking a pressing reason to implement real-time pricing, that investment may be slow in arriving, argues Kaye Coleman, the founder of price consultancy Ripe Strategic.Coleman explains: "The supermarkets already do price matching – it is not so sophisticated but price matching is already happening".Schemes including the Tesco Price Promise, the Asda Price Guarantee and the Sainsbury’s Brand Match currently use real-time data to "price match" by offering money off the next shop.A cynic could argue the supermarkets should knock money off at the till rather than relying on customers to redeem their vouchers at the next shop, but such an action could hit the companies' bottom line.Mobile sophisticationThe growing sophistication of mobile marketing is also likely to revolutionize the way brands approach their price matching."If you can come up with a value proposition where I check-in [on my mobile] when I walk through the store for the first time and that presents me with a personalized experience based on my purchase history then I could see the benefit for a customer and a retailer," said Spyer.The trick for retailers is persuading customers to adopt such behavior, but the offer of being delivered ever-changing personalized price offers and messages in-store is a compelling proposition.Personalization is already a priority for retailers. Sainsbury’s uses anonymized shopping data gathered from the Nectar card to personalize offers.The levels of personalization offered by Sainsbury’s are increasingly complex. If a female customer buys folic acid they will be sent promotions on other pregnancy-related supplements during the pregnancy period and offers on nappies further down the line.UK retailers are sure to keep a close eye on developments over the Atlantic, with Schulz claiming she knows of clients that are piloting technologies that enable in-store personalized discounts.The challenges on the high-street mean there will inevitably be more casualties, but real-time pricing does not have to be the sole preserve of online-only retailers.Innovative ways of manipulating real-time data could be the shot in the arm the high-street retail industry so desperately needs.This article was first published on marketingmagazine.co.ukClick here for the article on the web.

Recently Viewed jobs