Senior Product Designer - Health

Flo
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist-Senior Manager

Senior Data Scientist (Applied AI)

Data Analyst - 6 Month Freelance Contract - Lively, UK

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

The Job

Our Design team focuses on one (admittedly huge) thing, and we do it very well…Making sure our users are at the heart of everything we do.We are UX researchers, content creators and design experts, casting a laser focussed eye over the execution and validation of our platform and its features. We’re building the foundations of a world-class function and anyone who joins will be building the future in the context of a hyper-growth start-up.We're looking for a strong practitioner that will apply a user-centric approach to complex problem-solving and has a good knowledge of both interaction and visual design. You’re comfortable using data to inform your decisions and learn through experimentation. You’re equally comfortable communicating your rationale and challenging feedback that you think might have a detrimental impact on our users’ experience.We operate in a fast-paced environment and get to directly impact millions of users around the world. As a proactive team member, you love collaborating with the other disciplines to explore different solutions to problems, and you work well with product managers and stakeholders.Your ExperienceMust have:10+ years of experience designing digital products for web and mobile platforms A portfolio or case studies that demonstrate great product thinking, interaction and visual design skills, besides a clear process and business impact. Ability to lead end-to-end design process, from problem-framing and research, ideation and prototyping, to user validation and delivery of polished, high-fidelity designs. Passion for designing complex user journeys, attention to detail, and ability to communicate and articulate design decisions effectively. Proven experience of driving strategy and defining roadmap with cross-functional peers. Ability to drive usability testing with support from UX Researchers and highlight research needs upfront during discovery. Ability to collaborate with engineers to troubleshoot any technical issues that arise during design and development phases, ensuring that the product meets performance and quality standards Strong systems thinking approach and good understanding of Design Systems and A11Y, striving for consistency, scalability, and inclusivity at all times. Experience mentoring more junior designers  Competence in Figma and common design tools Ability to create interactive prototypes, bonus if you use Protopie and/or AfterEffectsNice to have:Prior experience working in healthcare, but not essentialWhat you'll be doingYou'll be responsible for:Empower women, girls, and people who menstruate to better understand their bodies and be on top of their health. Be a champion for our users, ensuring their needs and perspectives are at the forefront of every design decision. Lead design for very complex projects, working alongside your cross-functional peers and stakeholders to deliver impact for our users and the business. Collaborate closely with researchers and data analysts and develop research plans that will help shape the direction of our product. You will use data-driven insights to design exceptional user-centred experiences that meet the needs of our users and drive business success. Shape initiatives and define product roadmap alongside your cross-functional peers. Evolve design concepts and user journeys from early-stage prototypes into visually delightful high-fidelity mock-ups. Carry out discovery activities with product managers and other cross-functional peers and running ideation sessions such as design sprints and/or other workshop formats. Provide guidance and mentorship to other designers, helping them with their own projects. Stay abreast of industry trends and emerging technologies, bringing fresh ideas and perspectives to the team. Share your knowledge and insights through presentations, workshops, and other learning sessions. Dedicate time to our Design System and Accessibility initiatives. #LI-CC1 Salary Range - per year£102,500—£113,700 GBP

Ranges may vary depending on your skills, competencies and experience.

Reward

People perform better when they’re happy, paid well, looked after and supported. 

On top of competitive salaries, Flo's employees have access to:

A flexible working environment with the opportunity to come into the office and work from home Company equity grants through Flo’s Employee Share Option Plan (ESOP) Paid holiday and sick leave  Fully paid female health and sick leave, in addition to holiday and regular sick leave
Workations - an opportunity to work abroad for two months a year Six months paid maternity leave, and one months paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents Career growth, progression, and learning development resources Annual salary reviews Unlimited free premium Flo subscriptions A whole host of other benefits (health/pension/social schemes)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.