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Global Leadership Team

View all team members and how to get in touch below

Simon Clarke

Managing Partner / CEO

David Farmer

Senior Partner / COO

Kat Heague

Partner

Sam Jones

Senior Vice President & Partner - US East

Stephen Lawrence

CFO

Mark Bremer

Director - UK

Stephanie Brooks

Senior Vice President - US West

McElla Pappas

Vice President - US West

Peter Schroeter

Senior Manager - Germany

Marcus Headicar

Head of Operations

Joe Gibbs

Senior Manager – Digital

Emma Reynolds

Head of Finance

Sophie Lidbetter

Head of Finance

Sarah Hobbs

Head of Business Support

Barum Jeffries

Head of Learning & Organisational Development

Marion Van Vlierden

Legal and Compliance Manager

Latest jobs

Senior Business Analyst
Salary

£50000 - £60000 per annum

Location

London

Description

Senior Business Analyst role with a well-known household name based in London earning up to £60,000! Apply here

Reference:

74593/ROK

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Technical Digital Analyst - Implementation (Agency-Side)
Salary

£30000 - £40000 per annum

Location

London

Description

As the Technical Digital Analyst, you will ensure tagging and tracking requirements are correctly implemented, using a range of tag management systems

Reference:

74438/AO

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Senior Data Scientist
Salary

£80000 - £85000 per annum + career development, performance bonus

Location

City of London, London

Description

Would you enjoy working for one of the largest global building societies that is investing heavily in their data science team to optimize customer retention?

Reference:

BU13D

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Senior Insight Analyst
Salary

£40000 - £50000 per annum

Location

City of London, London

Description

Are you an insight analyst who has a passion for gaming and technical background using SQL?

Reference:

77120

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Digital Analyst
Salary

£35000 - £40000 per annum

Location

London

Description

Known & trusted UK brand in the automotive space seeks a Digital Analyst with strong app analytics experience.

Reference:

22522/HC

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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.

3 Ways Machine Learning Is Benefiting Your Healthcare

With Data-led roles leading the list in the World Economic Forum’s ‘Jobs of the Future’ report, it is no surprise that Data Science continues to be the main driving force behind a number of technological advancements. From the Natural Language Processing (NLP) that powers your Google Assistant, to Computer Vision identifying scanning pictures for specific objects and the Deep Learning techniques exploring the capability of computers to become “human”, innovation is everywhere.  It’s unsurprising, then, that the world of healthcare is fascinated by the possibilities Data Science can offer,  possibilities which could not only make your and my life better, but also save several thousands of lives around the world. To just scrape the surface, here are three examples of how Machine Learning (ML) techniques are being used to benefit our healthcare.  COMPUTER VISION FOR IMAGING DIAGNOSTICS  Have you ever had a broken leg or arm and saw a x-ray scan of your fracture? Can you remember how the doctor described the kind of fracture to you and explained where exactly you can see it in the picture? The same thing that your doctor did a few years ago, can now be done by an algorithm that will identify the type of fracture, and provide insights into how you should treat it. And it’s not just fractures; Google's AI DeepMind can spot breast cancer as well as your radiologist. By feeding a Machine Learning model the mammograms of 76,000 British women, Google’s engineers taught the system to spot breast cancer in a screen scan. The result? A system as accurate as any radiologist.  We‘ve already reached the point where Machine Learning and AI can no longer just outsmart us at a board game, but can benefit our everyday lives, including in as sensitive use-cases as the healthcare industry. NLP AS YOUR PERSONAL HEALTH ASSISTANT  When we go to our GP, we go to see someone with a medical education and clinical understanding who can evaluate our health problems. We go there because we trust in the education of this person and their ability to give us the best information possible. However, thanks to the rise of the internet, we’ve turned to search engines and WebMD to self-diagnose online, often reading blogs and forums that will convince us we have cancer instead of a common cold.  Fortunately, technology has advanced to the point where it can assist with an on-the-spot (much more accurate) evaluation of your medical condition. By conversing with an AI, like the one from Babylon Health, we can gain insights into possible health problem, define the next steps we need to take and know whether or not we need to see a doctor in person.  There’s no need to wait for opening times or to sit bored in a waiting room. Easy access from your phone democratises the process and advice can be received by anyone, at any time.    DEEP LEARNING DRAWS CONCLUSIONS BETWEEN MEDICAL STUDIES Despite their extensive qualifications, even medical researchers can feel overwhelmed by the sheer amount of Insights and Data that are gathered around the world in hospitals, labs, and across various studies. No wonder it’s not uncommon for important Insights and Data to get forgotten in the mix. Once again, Machine Learning can help us out. Instead of getting lost in a sea of medical data, ML algorithms can dig deep and find the information medical researchers really need. By efficiently sifting a through vast amounts of medical data, combining certain datasets and providing insights, ML sources ways for treatments to be improved, medicines to be altered, and, as a result, can save lives. And this is only the beginning. As Machine Learning continues to improve we can expect huge advances in the following years, from robotic surgery to automated hospitals and beyond. If you’re an expert in Machine Learning, we may have a job for you. Take a look at our latest opportunities of get in touch with one of our expert consultants to find out more. 

Tim Schroeder

Tim Schroeder

13. February 2020

News

Dave Farmer Appointed New Harnham CEO

I am pleased to announce that Harnham have named David Farmer as our new CEO.  David has been with Harnham since its inception in 2006 and has most recently being serving as COO. With the new appointment, I will be moving into the position of Executive Chairman.  On the move, David says: “I am thrilled to move into this new position at such an exciting time for the company. Having been with the business since the start, I am well aware of Harnham’s potential, particularly as the Data & Analytics market continues to thrive. We have an extraordinary team of home-grown talent at Harnham and I am eager to see where we can take the business next.”   David understands Harnham better than anyone and has dedicated an incredible amount of time and effort towards the success of the business. I cannot think of anyone better to lead us through the next stage of our growth.  This comes at an exciting time for Harnham with Partners Mark Bremer and Sam Jones stepping up to lead the London and New York offices, respectively. Additionally, long-term team members Ross Henderson and Talitha Boitel-Gill have been named Associate Directors and will oversee the growth of various teams within the UK business.  The global leader in Data & Analytics recruitment, Harnham now comprises of 160 people across four offices globally. 

Simon Clarke

Simon Clarke

29. January 2020

News