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Harnham have over a decade’s experience in partnering with some of the industries most exciting data-driven organisations and are at the forefront of the Data Science recruitment space.






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What We Do

We help the best talent in the Data Science market find rewarding careers.

Data drives business and, in the 21st century, the Data Scientist is the “rock star” of the technology world.  Companies today know insights are the way to a higher ROI, a healthier bottom line, and, ultimately, a loyal client and customer base. To stay ahead of the competition, companies must continuously look for new and innovative ways to extract insights from the large volumes of data they acquire. 

Our aptitude in matching the best talent with the best companies is second to none. Our clients range from FTSE 100 organisations to small start-ups looking to shake-up the status quo. If you’re looking for your next challenge in the Data Science industry then get in touch and take the first step on that journey.

how We Do it

We pride ourselves on keeping our pulse on trends across the Data Science industry.

Our dedicated Data Science consultants have immersed themselves fully in the market and are able to provide industry-leading advice. Whether you’re looking to make your next move, or a find a new member of your team, Harnham have a wealth of knowledge and will help you make the process as efficient as possible.

We pride ourselves on keeping our pulse on trends in the industry and offer educational programmes to help keep our candidate’s skills sharp.

What sets us apart?

We place considerable emphasis on getting to know you, your motivations and your skills.

We do this to ensure we only introduce you to companies that suit you. By taking the time to listen to and explore our clients’ briefs, we soon know whether candidates fit their culture or not.

As a genuine specialist in Data Science recruitment, we have developed long-standing partnerships within the marketplace. These relationships allow us to provide our candidates with access to the best opportunities in the sector.

If you are looking for that next career step in Data Science, let us help you find it.

As working from home becomes ever more common, you can now search Remote Data Science Jobs.

View all Data Science Jobs

Latest Jobs

Lead Data Science Consultant & Data Science Teacher
Salary

£90000 - £120000 per annum + benefits

Location

London

Description

Lead Data Science Consultant will be involved in delivering client projects and training junior data scientists.

Data Science Manager
Salary

US$180000 - US$210000 per annum + Competitive Benefits

Location

San Francisco, California

Description

Join a large retail company that is going through their digital transformation!

Data Science Manager
Salary

£60000 - £90000 per annum

Location

London

Description

This is an exciting new opportunity for a Senior Data Scientist to join a growing gambling company!

MANAGER DATA SCIENCE
Salary

€120000 - €150000 per annum

Location

Belgium

Description

Cette start-up de conseil à dimension internationale, recherche pour sa branche Data son/sa futur.e Manager Data Science pour renforcer l'équipe managériale.

Data Science Manager
Salary

US$140000 - US$160000 per annum

Location

New York

Description

Do you have progressive Advanced Analytics experience at eCommerce, CPG, and/or retail companies and have strong technical proficiencies in Python?

Data Science Consultant
Salary

£65000 - £70000 per annum + Bonus

Location

London

Description

Data Science role in the asset management space

Data Science Consultant
Salary

£40000 - £80000 per annum + bonus and benefits

Location

London

Description

A global AI consultancy are looking for numerous Senior Consultants for their London office - £40,000 - £80,000.

Data Science Consultant
Salary

£40000 - £60000 per annum + bonus and benefits

Location

London

Description

A global AI consultancy are looking for numerous Senior Consultants for their London office - £40,000 - £60,000.

Data Science Engineer
Salary

£60000 - £70000 per annum

Location

Edinburgh

Description

This is an exciting opportunity to join a fast-growing tech company that have put data at their forefront.

Data Science Consultant
Salary

£40000 - £50000 per annum + benefits

Location

London

Description

Do you have advanced analytics knowledge & outstanding communication skills? A cutting-edge consultancy are looking to hire several Data Science Consultants

Data Science Manager
Salary

£60000 - £90000 per annum

Location

London

Description

This is an exciting new opportunity for a Senior Data Scientist to join a growing gambling company!

Data Science Manager
Salary

US$145000 - US$155000 per annum

Location

New York

Description

Do you have progressive experience working in eCommerce & digital environment and have a strong understanding of leveraging Bayesian techniques?

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.

Weekly News Digest: 5th - 9th April 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.    The Drum: How data visualisation turns marketing metrics into business intelligence Gathering data is just one part of a marketer’s job but having the ability to turn this data into something visually stunning, informative and easy to use is another skill completely.  Marketers, on the whole, are extremely visual learners along with around 65 per cent of the population. Most of us are able to absorb data more effectively if the information being presented to us is done in such a way that is pleasing to the eye. And this is why Data Visualisation exists; it allows us to group, organise and represent data sets in a way that allows us to analyse larger quantities of information, compare findings, spot patterns and extract meaningful insights from raw data. Not only does Data Visualisation allow us to learn more effectively, but we can then turn this understanding into much broader and deeper Business Intelligence.  To read more on the positives of Data Visualisation and how to translate this into meaningful Business Intelligence, click here.  ZDNet: The five Vs of customer data platforms According to ZDNet, Customer Data Platforms (CDPs) are the hottest marketing technology today, offering companies a way to capture, unify, activate, and analyse customer data. Research done in 2020 by Salesforce showed that CDPs were among the highest priority investments for CMOs in 2021. If you’re planning to invest in a CDP this year, what five critical things do you need to think about when developing a successful strategy? ZDNet tells all.  Velocity - Your systems need to manage a high volume of data, coming in at various speeds.Variety - Every system has a slightly different main identifier or "source of truth," and the goal is to have one. This starts with being able to provision a universal information model, or schema, which can organize all of the differently labelled data into a common taxonomy. Veracity - Companies must ensure they can provision a single, persistent profile for every customer or account.Volume - It has been theorized that, in 2020, 1.7MB of data was created every second for every person on Earth. If you want to use those interactions to form the basis of your digital engagement strategy, you have to store them somewhere. Value - Once you have a clean, unified set of scaled data – now’s the time to think about how to derive value from it.  To learn more, read the full article here. Towards Data Science: How to Prepare for Business Case Interview Questions as a Data Scientist When you think of Data Science, the first thing that comes to mind will be technical knowledge of coding languages and fantastic statistical ability; softer skills such as communication and exceptional business knowledge may be overlooked. However, this is where many budding Data Scientists trip up. It is these softer skills and business acumen that sets brilliant candidates apart from others.  But how, when not usually taught at university, do you gather the business knowledge that will set you apart from the competition and showcase it in interview? Towards Data Science shares a few key pointers. Build a foundation – Brush up on your business basics. Research project management methodologies, organisational roles, tools, tech and metrics - all are crucial here. Company specifics – Research your company and its staff. Make sure your knowledge is tailored to the company you’re interviewing for. Products – This is where you’ll stand out above the rest if you get it right. The more you can know the ins and outs of products and metrics at the company, the more prepared you will be to answer business case questions. Read the full article here.  Harnham: Amped up Analytics: Google Analytics 4 Joshua Poore, one of our Senior Managers based in the US West division of Harnham, explores Google’s new and improved data insight capabilities, predominantly across consumer behaviours and preferences.  This exciting new feature of Google was born in the last quarter of 2020 and has now fully come into its infancy, and it’s an exciting time for Data & Analytics specialists across the globe. Joshua explores four key advantages of Google Analytics 4.0. Combined data and reporting - Rather than focusing on one property (web or app) at a time, this platform allows marketers to track a customer’s journey more holistically. A focus on anonymised data - By crafting a unified user journey centred around machine learning to fill in any gaps, marketers and businesses have a way to get the information they need without diving into personal data issues.Predictive metrics - Using Machine Learning to predict future transactions is a game changer for the platform. These predictive metrics for e-commerce sites on Google properties allow for targeted ads to visitors who seem most likely to make a purchase within one week of visiting the site. Machine Learning driven insights - GA4 explains it “has machine learning at its core to automatically surface helpful insights and gives you a complete understanding of your customers across devices and platforms.” Machine Learning-driven insights include details that elude human analysts.  To read Joshua’s full insights on GA4, click here.  We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at  info@harnham.com.   

Daniel Lewis

Daniel Lewis

09. April 2021

How Are Life Science Analytics Innovating For A Post-Pandemic World?

As COVID-19 unfolded, the Life Science discipline was thrust into the spotlight. The pandemic has shown the extent of the Life Sciences industry’s ability to innovate and collaborate. When facing a new disease, Life Sciences adapted quickly. The rate at which pharmaceutical companies successfully developed COVID-19 vaccines was unprecedented. Approaches that may have previously been labelled risky, were implemented to manage changing demand and deliver increased throughput. Embracing digitisation and innovation enabled organisations to adapt and accept constant change. The pandemic has shown just how well the Life Science industry is able to innovate and develop according to changing demands. As the world looks to the future, how can Life Sciences continue to remain dynamic?  Cloud data The cloud is becoming a CEO agenda item for Life Sciences. The cloud has the potential to enable more effective and profitable ways of doing business throughout the life science industry. It offers a powerful, secure platform for innovation and collaboration, with immense transactional power and data throughput. The cloud is necessary for creating data enablement, ensuring the right data is in the right place at the right time. It enables companies to innovate faster, work at a greater scale and increase collaboration.  Virtual communication According to Accenture, sixty-one per cent of healthcare professionals now communicate more with pharmaceutical sale reps than before the pandemic. 87 per cent now want either purely virtual or a blend of in-person and virtual meetings post-pandemic.  New means of virtual communication have created new opportunities in the industry. Digitisation allows for increased communication with trial participants and new opportunities to educate people about their conditions and care. There was already a growing trend for virtual healthcare interactions, but the pandemic has shifted this is into becoming the new normal. Collaboration ecosystem COVID-19 has led to increasing collaboration between companies. The race for a vaccine has seen cooperation evolve at an extraordinary pace. Companies who usually compete are now coming together to share data and cooperate. Organisations have created collaborative agreements in a matter of weeks; partnerships that pre-pandemic would have taken years to create.  The industry is now seeing the value of ecosystem partnership. The success of organisations post-pandemic relies on this continued collaboration.  AI and blockchain technology COVID-19 has increased the focus on AI in Life Sciences. Yet, Life Sciences have only scratched the surface of AI capabilities. AI has the potential to transform the industry; it can design novel compounds, identify genetic targets, expedite drug development and improve supply chains. The use of AI in Life Sciences is expected to continue to grow and organisations will need to focus ever more on merging human knowledge and AI capabilities.  Blockchain is also becoming increasingly trusted in Life Sciences. Its ability to create tamper-proof records makes it a key resource in increasing patient trust in remote clinical trials. As more of the industry understands the skills needed to use blockchain and increases collaboration, blockchain has the potential to become ubiquitous in Life Sciences. The pandemic has shown the importance of digital technology in Life Sciences. Digitisation increases efficiency and, collaboration, and also helps create a framework for future scientific discoveries. As we look towards a post-pandemic world, a successful Life Science industry must continue to embrace this mindset of innovation, collaboration and dynamism.  If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

Krishen Patel

Krishen Patel

08. April 2021

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