Data Scientist

Hi, we’re Bloom & Wild. Founded in 2013, our mission back then was to make sending and receiving flowers the joy that it should be, by harnessing technology, brand and letterbox delivery. Together, we’ve fulfilled over 20 million deliveries (and counting!), making us the largest direct to consumer flower business in Europe.

We announced £75 million Series D funding in 2021 and that same year acquired bloomon in The Netherlands and Bergamotte in France. Now home to a family of 3 beautiful brands, we're expanding our gifting offering to other categories like cakes, candles and cocktails. This is all part of our ambition to build Europe's #1 direct to consumer gifting destination. 

We really care about creating a diverse and inclusive team - so we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team.

⚙️Data Science at Bloom & Wild

You will be joining a small data science team, currently consisting of 2 data scientists within an overall Bloom & Wild team of over 350 people and growing! We are a small, driven team that are set in expanding usage of data science across Bloom & Wild. We collaborate closely with the data engineering and product teams, the rest of the technology team, a separate business intelligence and analytics team, our CRM and operations teams to help us identify areas of opportunities and bring our projects to life.

With millions of customers and hundreds of thousands of monthly transactions, we have a large and growing dataset that we use for training machine learning models. We currently have models in production, from recommendation to forecasting engines, and a backlog of ideas to brainstorm, prototype and test.

In terms of technologies:  Python, Snowflake, dbt, Fargate/ECS on AWS are part of our day to day. The data team is based in the UK and works in a flexible model, with choice in how often they travel to the office. At Bloom & Wild, squads meet in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together.

You can read lots more about our technology stack and our culture over on our tech blog - Code Wild

💻 What you’ll be doing

On a typical day for the data science team, we sync in the morning during stand-ups to discuss the on-going work, identify blockers or areas of collaboration. During the day, we will be brainstorming and prototyping models  to solve specific business problems. Or supporting the design of A/B to test our prototypes and productionise those once we decide that is the way forward. Or we can be collaborating with teams to gain better understanding of business domain, data or requirements. Have a critical role in training and productionising our machine learning models such as ranking models, recommendation algorithms and forecasting methods. Be collaborating with other data scientists, product managers and other teams to brainstorm best approaches for solving the problems at hand, being them product-related or with our infrastructure. Help design experimentations to test our ideas and prove incremental improvements to our models. Advise on how to collect data to provide datasets for future data science projects. Deliver ML models with agreed organisational standards to ensure that our capabilities are resilient, scalable and future-proof. Improve our MLOps infrastructure. Bring energy and positivity to the role, looking for every opportunity to learn and craft the role around our values: care wildly; think deeply, act swiftly; stay open, be curious; lead change for good.

✅ You’ll love this role if you… (What excites us)

Have demonstrable experience applying machine learning techniques to solve customer and business problems. Have strong programming skills in Python for delivering production-ready, well-structured and documented code. Experience with large datasets and proficiency with SQL, exposure to snowflake and dbt is a plus. Are curious about the customer and have a pragmatic approach to solve for their needs. Take a collaborative, data-driven and experimental approach to solving complex problems at pace and with pragmatism, and are able to demonstrate the ability to foster this mindset in your colleagues. Have a positive and optimistic attitude - you overcome setbacks and obstacles, and inspire and motivate those around you too. Have a collaborative style that enables you to work with a range of different people and teams and allows for open and inclusive discussion. Are keen to learn and stay up-to-date with the latest technologies and value sharing your knowledge with your peers. Experience working on an e-commerce site or in a fast-growing (preferably consumer-facing) start-up. Knowledge of MLOps or have an inclination to learn and develop in that area.

🌟 (some of) The good stuff

To care wildly for our customers, firstly we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day.

🌻 Work that works for you

- Flexible working : our core hours are 10-4, but outside of these hours you can start or finish your day when works best for you

- Work Abroad for up to 30 days each year 

- Share in our success with a choice to take equity options

- Enhanced family leave policy and a workplace nursery scheme

- 1 day per year to volunteer on a project that’s close to your heart

🌴 Time off

-25 days’ holiday + your birthday and bank holidays each year

- Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar

- Option to buy an extra 5 days’ holiday each year

🌱 Health and wellbeing

- Health cash plan through Simplyhealth

- Company pension scheme

- Mental health support through Open Up, including access to online therapy sessions

- Allies and champions groups

- Mental Health First Aiders and awareness training for our managers 

- In person or virtual yoga every week

- Cycle to work scheme

- Our office kitchen is stocked with drinks and snacks to keep you going

- Financial wellbeing support through Bippit

- Electric car scheme

🌳 Growth & Development

- A flexible training framework for every stage of your career development through our Bloom & Learn programme

- Mentee and mentor opportunities with our external partners, such as The Women's Association and Mentoring for Growth run by Future FoundersInternal & external Speaker Sessions on a variety of different inspirational topics 

💐 Moments that matter

- Social & wellbeing monthly calendar

- Summer and End of Year events, team lunches and post-peak celebrations

- Irresistible discounts on our products, blooms & subscriptions!

🏡 Belonging at Bloom & Wild

- We know that we learn through our differences, and building a diverse team has always been central to creating the best experience for our customers.  We value all backgrounds, perspectives, ideas and experiences, and encourage everyone to share their opinions openly within our caring and inclusive team.  Our champions community actively advances our culture of inclusion and belonging, which is organised around 8 pillars of diversity. These cross-business networks offer additional opportunities for connection, education, support and celebration, and ensure that inclusivity continues to be embedded in our ways of working.  

🫱‍🫲 Getting hired

We’ll do everything we can to make sure your interview experience with us is a good one. It’s a 2-way process, and we’re keen to answer all of the questions you may have, so that you can be sure (and excited!) that we’ll be the right place for you.  

Apply below (it takes 2 minutes!)

- Chat with Billy, our Senior Talent Manager for tech - to discuss our role and learn a bit more about your skills and background and how we might match your career & development goals.

- Interview with Marisa and James, Head of Data Science and Product Manager for Data Science team to get into more of the detail.

- Call with Nadia and Tonci, Senior Data Scientist and Head of Data Engineering to assess your knowledge of data science and engineering principles.

- Show us how you work through a technical challenge, which will be a take home exercise followed by a discussion with Marisa and Nadia.

- Final chat with Joe, our CPTO

We believe in leading change for good, so if there’s anything that we can do to help throughout your application process, or if you have any feedback, please share this with us anonymously here so we can use this to improve your experience.