Senior User Researcher

Birmingham
2 months ago
Applications closed

Related Jobs

View all jobs

Project Scoping Manager

Senior Content Designer

Senior Product Manager (Cyber Security), Hertfordshire

Senior Product Designer - Fixed term contract

Senior Research & Data Analyst

Senior BI Specialist (12 Month FTC), Greater Manchester

Hays Technology are working with a client who are looking to add a Senior User Researcher to their Customer Service Project.

The role will be £525 p/d Inside IR35 on a hybrid basis.

You will be responsible for:

Responsible for planning, designing, and carrying out research activities with users in larger teams and on more complex services that help teams get a deep understanding of the people that use the services to inform policy, proposition, service, content, and interaction design so that services work well for users and achieves policy intent.
Take a key role in the user research community, applying standards and directly leading user research of our complex, risky and interdependent products and services, working in the open with the user at the centre of all you do, including working across multiple product teams concurrently.
Engage with our diverse community groups in the city, helping to hear their voices and experience and to quantify their needs in ways which can be translated into service delivery.You will need:

Ability to work in agile ways, identifying problems to solve and building evidence to drive product decisions
Ability to build and execute a backlog of work, translating user needs into user stories
Ability to use diverse research methods to elicit insights into resident and staff needs, designing comprehensive research exercises, and translating these into recommendations and reports
The ability to gather, distil, and simplify large amounts of data for an audience, judging what is and isn't important, including writing reports that quickly help someone understand the problem to be solved
Ability to advise on the best research methods and best practice
Ability to embody a product mindset and be intensely user-focused, using qualitative and quantitative data to track progress against user outcomes.
Strong communication skills, with the ability to explain what users need from us succinctly, to a diverse, non-expert audience
An absolute commitment to meeting user needs in the best, most efficient way
Ability to flex delivery approaches depending on context
Passionate about building diverse teams and communities
Coaching and mentoringHays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Job-Hunting During Economic Uncertainty: Data Science Edition

Data science has become essential for modern businesses, enabling data-driven decisions that enhance efficiency, profitability, and strategic foresight. From predictive analytics in finance to recommendation engines in retail, data scientists sit at the crossroads of statistics, programming, and domain expertise, building models that translate raw information into tangible insights. Yet, when broader economic forces create uncertainty—through market downturns, shifting investor priorities, or internal budget constraints—data science roles can experience increased scrutiny, competition, and extended hiring cycles. Despite these pressures, data-driven approaches remain crucial to organizations looking to weather challenges and find opportunities in volatile environments. Whether you’re refining advanced machine learning techniques, fine-tuning data pipelines, or collaborating with business stakeholders on dashboards, your skill set is often still in demand. The key is adapting your job search strategy and personal branding to cut through the noise when fewer roles may be available. This article explores: Why economic headwinds affect data science hiring. Actionable strategies to stand out in a tighter job market. Ways to emphasize your technical and soft skills effectively. Techniques to maintain focus and resilience despite potential setbacks. How www.datascience-jobs.co.uk can help you secure the ideal data science position. By combining strategic thinking, polished communications, and adaptability, you can land a fulfilling data science role that leverages your expertise—even if the market feels more demanding.

How to Achieve Work-Life Balance in Data Science Jobs: Realistic Strategies and Mental Health Tips

Data science has quickly emerged as one of the most influential fields in the modern workplace, shaping how businesses make critical decisions and expanding our understanding of everything from consumer behaviour to public health trends. As the global demand for data insights continues to rise, companies of all sizes are seeking professionals who can effectively harness analytics and machine learning to drive innovation. Yet, this promise of limitless opportunity comes with significant challenges. Data scientists often grapple with large volumes of complex data, tight project deadlines, cross-functional collaboration, and constant upskilling. Amid the excitement of discovering actionable insights and developing high-performing models, many wonder if it’s truly possible to maintain a healthy work-life balance. With the field evolving at breakneck speed, the intensity of these roles can leave even the most passionate data professionals drained and questioning how to protect their personal well-being. This article delves into the reality of high-intensity data science jobs, offering practical guidance on setting realistic expectations and preserving mental health. We’ll look at common pitfalls like burnout and perpetual “always learning” pressure, while also highlighting proven strategies for boundary-setting and effective time management. Whether you’re a seasoned data architect, an aspiring machine learning engineer, or somewhere in between, you’ll find actionable tips to help you manage your career trajectory without sacrificing your personal life.

From Research Labs to Real-World Insights: How Academic Researchers Can Thrive in Data Science

Over the past decade, the data science revolution has swept across industries—retailers predicting shopping habits, hospitals personalising patient treatments, and finance companies detecting fraud in near-real time. This surge in data-driven decision-making has created a pressing need for specialists capable of extracting meaningful insights from complex datasets. As a result, PhD holders and academic researchers are uniquely positioned to bring high-calibre analytical skills to the commercial realm. But transitioning from academia to data science can seem daunting: Where do you begin? How do you communicate your research background in industry-friendly terms? What new tools should you learn? This comprehensive guide, explores the paths, challenges, and strategies for academics making the leap into data science. You’ll discover how to leverage your scholarly expertise, adopt a commercial mindset, and build a career that transforms raw data into actionable insights—fostering innovations across every sector of the economy.