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Data Scientist

  • Job
    Mid & Senior Level
  • Data
  • London
  • Quick Apply

AI generated summary

  • You must have experience in applying machine learning techniques, strong Python skills, proficiency with large datasets and SQL, curiosity about customers, a collaborative mindset, and a positive attitude. Additional experience in e-commerce or MLOps is a plus.
  • You will collaborate with teams, prototype models, train ML algorithms, design experiments, and improve MLOps infrastructure at Bloom & Wild.


  • 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.
  • It would be great if you also have:
  • 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.


  • 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.

Application Process

  • 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


What technologies are used by the data science team at Bloom & Wild?

The data science team at Bloom & Wild uses technologies such as Python, Snowflake, dbt, and Fargate/ECS on AWS in their day-to-day work.

How does the data science team collaborate with other teams at Bloom & Wild?

The data science team collaborates closely with the data engineering and product teams, as well as the technology team, business intelligence and analytics team, CRM team, and operations team to identify areas of opportunities and bring their projects to life.

What kind of machine learning models does the data science team work on at Bloom & Wild?

The data science team at Bloom & Wild works on a variety of machine learning models, including ranking models, recommendation algorithms, and forecasting methods.

What kind of skills and experience are preferred for the Data Scientist role at Bloom & Wild?

The Data Scientist role at Bloom & Wild requires skills in applying machine learning techniques to solve customer and business problems, strong programming skills in Python, experience with large datasets and proficiency in SQL, and a pragmatic approach to problem-solving.

What kind of benefits and perks does Bloom & Wild offer to its employees?

Bloom & Wild offers a range of benefits and perks to its employees, including flexible working hours, opportunities to work abroad, equity options, enhanced family leave policy, workplace nursery scheme, health and wellbeing support, financial wellbeing support, mental health support, career development opportunities, social events, and discounts on products.

Europe's #1 online flower company, home to the Bloom & WIld, bloomon and Bergamotte brands, trading across 8 countries

Retail & Consumer Goods
Founded Year

Mission & Purpose

Bloom & Wild is re-inventing the $60B global flower industry. Over a billion flower exchanges take place every year and industry satisfaction levels are low. Driven by our core belief that you can never care too much or be too thoughtful, we do things a little differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. And we’ve seen impressive traction to date. We are Europe’s largest direct to consumer flower company. As the inventor of letterbox flowers, Bloom & Wild is powered by great ideas that are rooted in continuously improving the experience for our customers. On a mission to make sending and receiving flowers the joy it should be for both the sender and the recipient, we promise beautiful, brilliantly-designed letterbox surprises and make-a-statement bouquets. Our flowers are sent as the freshest buds, carefully packed and ready to bloom for arrangements that last. The result is almost 60k five star reviews and the status of the UK’s most-loved online florist. Since launching in 2013 we’ve raised £126m of venture capital and private equity funding from investors including General Catalyst, Index Ventures, Burda Principal Investments and MMC Ventures. We’ve been named one of the 5 fastest growing tech companies in Europe and are alumni of Tech Nation’s Future Fifty. We were also one of the Sunday Times Top 100 Small Companies to Work For 2020. We’ve got a brilliant ideas-led innovation culture. And we’re looking for people from all backgrounds to help drive our next exciting stage of growth. If you’re interested in joining us, please take a look at our open roles on our jobs tab. Bloom & Wild acquired bloomon in April 2021 and Bergamotte in July 2021, cementing our position as Europe's leading online flower company. Together, we are active in 8 countries. We are home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte.