At a Glance
- Tasks: Lead user research to uncover insights and guide product decisions.
- Company: Taylor & Francis, a leader in academic publishing and research.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on user-centric design.
- Why this job: Make a real impact by understanding users and shaping product strategies.
- Qualifications: Experience in qualitative research and strong communication skills.
The predicted salary is between 50000 - 65000 £ per year.
Taylor & Francis is seeking a Research Lead to own the qualitative understanding of our users. Reporting to the Head of Product Design, you’ll uncover user motivations, mental models, and unmet needs through interviews, usability studies, and diary studies, working alongside Customer Intelligence and Data Science.
You will lead generative, discovery, evaluative, and data-partnered research to guide roadmap decisions, develop research literacy across teams, and advocate for investment in user.
Research Lead: User Insight & Strategy (Hybrid UK) in Milton employer: Taylor-and-Franci
At Taylor & Francis, we pride ourselves on being an exceptional employer that champions a flexible working culture and prioritises work-life balance. Our commitment to employee growth is evident through comprehensive training opportunities and a supportive environment that encourages diverse ideas and perspectives. With generous benefits including 25 days of annual leave, private medical insurance, and a share match plan, we empower our Customer Success Specialists to thrive both personally and professionally in our vibrant Abingdon location.
StudySmarter Expert Advice🤫
We think this is how you could land Research Lead: User Insight & Strategy (Hybrid UK) in Milton
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We think you need these skills to ace Research Lead: User Insight & Strategy (Hybrid UK) in Milton
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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