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HEAD OF DATA SCIENCE (m/w/d)
120.000€ - 150.000€ + BENEFITS
Harnham is currently working with one of the most rapidly growing and award-winning start-ups in the e-commerce scene. The company is looking for a Head of Data Science who is not afraid of responsibility and risks but is excited by it as well as someone who is actively driving the company's data strategy. If these core principles apply to you and you are passionate to go the extra mile this role is well suited for you.
The company is going through growth due to their continued success and is now looking for a new leader who is helping them in implementing Data Science throughout their whole company. As Head of Data Science, you will be reporting directly to the CTO and take on a big part in driving the company's data strategy to bring it closer to their goal of being truly data driven. Herewith the company is giving someone the great opportunity to take on a significant role which will shape their future.
As Head of Data Science, you will be leading a fast-paced team of 10+ people consisting of data scientists, data engineers and data analysts. Your role will incorporate a vast focus on mentoring, guiding and representing the Data Science team. You will combine your technical skills with the ability to translate insights to a non-technical audience.
In specific you can expect to be involved in the following:
YOUR SKILLS AND EXPERIENCE
HOW TO APPLY
Please register your interest by sending your CV to Sophia Fassbender at Harnham via the apply link on this page.
£40000 - £55000 per annum + training, development, pension
New opportunity for an aspiring data scientist to join a hedge fund with huge financial backing and a strong research/ academic emphasis - top academics apply!
£40000 - £50000 per annum
** Junior Quantitative Researcher - Hedge fund - London **
£75000 - £120000 per annum + Discretionary Bonus
Complex challenging role! Looking for a Data Scientist to help develop trading strategies, based off on one of the world's most comprehensive data sets.
£80000 - £140000 per annum + equity, bonus, benefits
Established global finance brand working with perhaps the most thorough data-set in the industry.
£100000 - £140000 per annum + equity
Lead Data Scientist/Quant working within a start-up hedge-fund! Looking for skills ranging across Machine Learning, Statistics and even Deep Learning
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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It’s anticipated that by 2022, 80% of the advertising process will be automated. With the remainder of the process made up of elements that rely on human drivers, such as brand value and storytelling, we will have reached peak automation. Programmatic is playing a huge role in this transition, dominating the majority of mobile display and TV advertising. With the promise of more targeted ads, more and more marketers are pointing their budgets in this direction. The consequences of this, however, could have a lasting impact. Larger agencies are already introducing their own Programmatic teams, whilst Adobe believe that 62% brands will bring their media buying in-house by 2022, opening the door for an array of new opportunities. Moving Home There are several reasons that brands are choosing to bring their media buying in-house. First and foremost, with more and more budget directed towards Programmatic, the ability to automate their buying has a significant appeal. With the technology now available to do so, keeping this in-house has a number of benefits: Control: Brands can have greater control over how they spend their budget, giving them more autonomy over every stage of the process. Transparency: By owning their media buying, brands can gauge a better understanding of their ROI. Engagement: Customers continuously move from channel to channel. Keeping buying in-house helps brands keep up. Leverage: Brands can leverage their first-party data to create and execute in-house strategies. The last of these is particularly important. Following the introduction of GDPR, brands are under a significant amount of scrutiny regarding how they use customer data. By keeping this in-house, brands can have more control over how their data is both stored and used, without sharing it with third parties. Making the Investment Naturally, this change to the advertising landscape is already having implications across the wider industry. Sir Martin Sorrell, formerly of WPP, believes that brands moving in-house will be a “short lived trend” brought on by a reaction to “serious economic conditions”. However, this may not necessarily be the case. In addition to the benefits listed above, the significant investment required to move Programmatic in-house means that brands are likely to look to this as a longer-term solution.This not only involves investment in a DMP and the right technology but, more crucially, in building the right team. Without this team, any in-house venture is unlikely to succeed, regardless of technological investment. On Your Doorstep The good news is that this provides several new opportunities for Digital Analytics professionals. With 39% of Marketing Executives believing that a skills shortage is responsible for holding back Programmatic growth, there is a huge demand for the right talent, both permanent and contract. And, with this skills shortage, there is opportunity for Web and Marketing Analysts to expand their skillsets and move into the position of Media or Audience Analyst. By upskilling in media trading platforms such as AppNexus and DoubleClick, digital analysts can further enhance their expertise. When combined with the ability to visualise using Python or R they find themselves well positioned for some of the most in-demand roles around. If you’re looking for the opportunity to play an instrumental role in growing an in-house team, we may have a role for you. Take a look at our latest jobs, or get in touch by calling us on +44 20 8408 6070 or emailing email@example.com. This article was originally written for London MeasureCamp in September 2018.
05. December 2018
It’s that time of year again. As the festive season draws near and we pull together wish lists, many of us also begin to think about how we can give back. Given that the UK spent over £7 billion this Black Friday and Cyber Monday weekend, it’s not surprising that the idea of Giving Tuesday is becoming more and more popular. But with 160,000 registered charities in the UK alone, institutions are turning to data to find new ways to stand out and make a greater impact. Far from just running quarterly reports, charities are now utilising the insights they gain from data to inform their strategies, improve their services and plan for the future. IDEAS Given that not every charity is lucky enough to go viral with an Ice Bucket Challenge style video, there is a need to find other ways to stand out in such a crowded market. As such, many are looking to the data they have collected to help create a strategy. Macmillan Cancer Support, one the UK’s biggest charities, wanted to see more success from one of their main fundraisers, ‘The World’s Biggest Coffee Morning’. The event, which sees volunteers hold coffee and cake-fuelled gatherings across the country was revolutionised by data. By engaging with their database and researching what motivated fundraisers, they refocused their marketing around how the occasion could create an opportunity for people to meet up and chat, such as swapping ‘send for your free fundraising pack’ for ‘order your free coffee morning kit’. Whilst these amends may seem superficial, they had a major impact increasing funds raised from £15m to £20m. Some brands have taken this idea even further, using Data & Analytics tools to engage with potential donors. Homelessness charity Cyrenians’ data told them that there were a number of misconceptions about rough sleepers, including 15% of people believing that they were homeless by choice. To counter this they created an AI chatbot, named Alex, that allowed users to ask questions they may not have been comfortable asking a real person. Another charity using data tools to counter common misconceptions is Dyslexia Association. Their Moment of Dyslexia campaign saw them utilise facial recognition technology; the longer a person looked at their digital poster, the more jumbled up the words and letters became. By harnessing both insights and the technology made possible by data, they were able to offer an insight into what dyslexia is like for people who previously didn’t understand. INDIVIDUALS A big issue facing a number of charities is trust. Following a series of recent scandals, the public are more sceptical than ever of how charities are run, and their use of data is no exception. This ‘trust deficit’ has resulted in vast amount of potential donors staying away, with recent research highlighting that only 11% of people are willing to share their data with a charity, even if it means a better service. Whilst charities with effective Data Governance are able to use their vast amount of data to enhance those business, those who mismanage it are likely to suffer. Following a cyber-attack that exposed the data of over 400,000 donors, the British and Foreign Bible Society were fined £100,000. As hackers were able to enter the network by exploiting a weak password, this serves as a timely reminder that our data needs not only to be clean, but secure. Financial implications aside, improper data usage can also do irreversible damage to a charity’s reputation. St Mungo’s has faced criticism for passing information about migrant homeless people to the Home Office, putting them at risk of deportation. Whilst they were cleared of any wrongdoing by the ICO, this controversial use of data has had a negative impact on the charity’s image. With a decline in the number of people donating to charity overall, anything that can put people off further is bad news. IMPACT Whilst there is more demand than ever for charities to share their impact data, there is also more opportunity. With Lord Gus O’Donnell urging charities to make data an ‘organisation-wide priority’, many are going beyond publishing annual reports and fully embracing a culture shift. Youth charity Keyfund have been able to justify how the spend their funds based on their impact data. Having heard concerns from fundraisers regarding whether their leisure projects were effective they looked at the data they had gathered from the 6,000 young people they were helping. What they found was that not only were their leisure projects effective, they had an even more positive impact than their alternatives, particularly for those from the most deprived area. This allowed them to continue to support these programs and even increase funding where necessary. Going one step further are Street League, a charity that use sports programmes to tackle youth unemployment. Rather than share their impact data in quarterly, or even annual, reports they moved to real-time reporting. Interested parties can visit an ‘Online Impact Dashboard’ and see up-to-the-minute data about how the charity’s work is impacting the lives of the people it is trying to help. This not only allows for the most relevant data to be used strategically, but also supports the business holistically, gaining donor both attention and trust. To stand out in the charity sector institutions need to take advantage of data. Not only can this be used to generate campaigns and streamline services but, when used securely and transparently, it can help rebuild trust and offer a competitive edge. If you want to make the world a better place by harnessing and analysing data, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to see how we can help you.
29. November 2018