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UX Researcher

London
£300 - £400 per day
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UX Researcher

£300-£400 per day

Remote

Financial Services

Do you have a passion for all things UX? Does research using quantitative and qualitative methods fascinate you? Then this role is for you!

The Company

A global professional services who are leaders in technology, strategy and consulting, who pride themselves on using cutting edge digital capabilities to deliver results, are looking to add a UX Researcher to their team. With a culture of innovation, they are always one step ahead in their industry and this is a role for someone who enjoys being in a dynamic and fast paced environment.

The Role

As a UX Researcher. You'll be collaborating with the UX design team and the Analytics team, to deliver user centred designs for their digital services and products.

As a UX Researcher, you'll be expected to:

  • Plan, design and conduct user research sessions to support the design and development of client services and products
  • Lead the research process from developing user recruitment briefs through to conducting sessions remotely or face-to-face, session analysis, report writing and playback to your team
  • Collaborate with product owners and service managers to devise appropriate research strategies that will generate focused insights
  • Convert concepts and emerging findings into high quality stimulus material
  • Work closely with designers and developers to turn user data and insights into actionable requirements that feed into prototype development, and influence product direction
  • Wowrk as a part of Agile delivery teams and possess the hard and soft skills required to participate in design and delivery and be able to identify and progress client issues
  • Work closely with our UX & Design Team, to share knowledge, learn new skills, and design transformational services

As a UX Researcher, you'll have:

  • Experience in designing and leading exploratory and evaluative research projects in multi-disciplinary teams
  • Expertise to distil complex problems into actionable research questions
  • Comfort in launching usability studies and iterating quickly
  • Ability to communicate research findings and insights in engaging ways
  • A portfolio showing high quality, thoughtful research examples
  • Experience in facilitating workshops
  • Ability to translate user research, user testing and data into impactful insights
  • Ability to communicate findings in compelling and engaging ways

How To Apply

Please register your interest by sending your CV to Zavina Johnson via the Apply link on this page.

Apply Save job
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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.

How Are Digital Marketing Analysts Disrupting Traditional Marketing Functions?

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Lucy Hughes

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Therefore, these systems run a high risk of breaching ethical conducts, such as privacy and security leaks or serious issues with bias, if not created, developed and managed properly.  So, what can businesses do to ensure their digital transformation efforts are implemented in the most ethical way possible? Implement ways to reduce bias From Twitter opting to show a white person in a photo instead of a black person, soap dispensers not recognising black hands and women being perpetually rejected for financial loans; digital transformation tools, such as AI, have proven over the years to be inherently biased.  Of course, a computer cannot be decisive about gender or race, this problem of inequality from computer algorithms stems from the humans behind the screen. Despite the advancements made with Diversity and Inclusion efforts across all industries, Data & Analytics is still a predominantly white and male industry. Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. 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Before implementing any technology, ensure you can, and will, do so in a transparent, trustworthy, fair, representative and law-abiding way.  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.

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