Job Description
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 most loved flower and gifting platform!
The past two years have continued to be really exciting for us! In January 2021 we announced our £75 million Series D funding round, led by General Catalyst (backers of Airbnb and Deliveroo), with participation from multiple other top tier investors including Index Ventures (who have also backed companies such as Transferwise and Glossier). 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.
We have 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.
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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 Team at Bloom & Wild
The overall Bloom & Wild team is now over 400 people. You will join the Data team within our Technology team. The Data Team consists of Data Science and Data Engineering squads. We collaborate closely with the rest of the technology team, product managers, a separate business intelligence team, our CRM and operations teams.
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. This is the focus of the Data Science squad you will be joining, which currently consists of 4 data scientists. We currently have several ML models in production, from recommendation to forecasting engines, and an ambitious roadmap for upcoming work.
You can read more about our technology and culture over on our tech blog -Code & Wild.
The role and ways of working
- As a Senior Data Scientist, you will have a critical role in training and productionising our machine learning models such as Recommendation Engine and Personalised Discounting Engine.
- You will be delivering ML models with agreed organisational standards to ensure that our capabilities are resilient, scalable and future-proof.
- You will advise the business on how to collect data to provide datasets for future data science projects.
- You will bring energy and positivity to the role, looking for every opportunity to learn and craft the role around our values; care, pride, customer first, innovation and delight.
You
- Significant experience of applying a range of machine learning techniques to deliver business value
- Experience managing the data science project lifecycle
- Strong programming skills in Python writing production-ready, well-structured and documented code
- Proficiency with SQL
- Experience with cloud data warehousing solutions
- Experience with large datasets
- Comfortable with anticipating, preventing, and solving complex data problems
- Understanding of emerging trends in data tools and usage
- Strong communication skills and ability to communicate with non-technical people
It would be great if you also have…
- Experience working in e-commerce
- Managerial experience
- Commercial experience with Snowflake
- Cloud experience with AWS, Azure or GCP
Our perks and benefits:
- 25 days holiday, with an additional day off for your birthday, plus bank holidays, totalling 34 days, per annum. There is also the option to buy an extra 5 days holiday
- Flexible working schedule (core hours from 10-4pm)
- We offer flexible bank holidays so at any time you can trade a bank holiday day off and in its place take off another day that fits better with your beliefs, values and celebration calendar.
- Choose your laptop and any extra equipment you need to do your best work
- Health cash plan through Simplyhealth
- Personal Development Budget
- Enhanced Family Friendly Policy
- Workplace nursery - a salary sacrifice based childcare scheme
- Childcare Vouchers
- Pension Contribution
- Discounts on our blooms!
- Lunch & Learns
- Bloom & Go Wild trips (once we’re able to again) - most recently we went to Paris!
Working Environment
Currently, the majority of our teams are still working from home. However, in line with government restrictions, we are gradually opening up our beautiful, flower filled office again - for teams to use as much or as little as they’d like. We continue not to expect people to come in as a norm, though managers may ask teams to come in for specific reasons (unless you are a fully remote worker).
Our plan moving forward is to continue to find ways of incorporating remote work into our daily, business as usual, ways of operating. And we have no expectation that our teams will need to come into the office 5 days per week again.
In addition to our normal perks and benefits we’re supporting each other and maintaining our culture remotely through:
- Twice weekly online yoga class and access to ClassPass workout content
- Birthdays, anniversaries, and special occasions celebrated with the team
- Virtual Stand Up for weekly company updates, and Virtual Monthly Meeting to celebrate our successes and value nominations
- Remote lunch and learns
- Wellbeing support through online coaching sessions and employee assistance program, talking about challenges that we are facing in the current environment
- New slack channels and ways of creating community remotely
We apply our five key values of delight, customer first, care, innovation and pride in our day to day activities (find out more here) and reward those who are encompassing them exceptionally. Everyone is friendly and sociable, with regular company-wide events.
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Sponsorship*
We're proud to hold an A-rated sponsor license, so we can assign certificates of sponsorship. This means we can support applications from anywhere as long as the job is deemed suitable under the points based system
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When we’re in the office:*
Our lovely, light and spacious office is conveniently located close to Vauxhall and Oval stations in London. We have an informal, inclusive and scale-up culture and those who choose to come into the office, also benefit from:
- Free snacks
- Early finishes on Thursdays & Fridays to spend more time with each other.
- Beer, wine and soft drinks fridge.
- Season ticket loan (scheme currently frozen due to Covid-19).Cycle to Work Scheme.
- We’re a social bunch and plan to re-start our regular company wide events as soon as we can! Previous ones have included in person Summer & Christmas parties, post peak celebrations and regular team lunches.
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In addition to our normal perks and benefits we’re supporting each other and maintaining our culture remotely through:*
- Weekly online yoga class and access to ClassPass workout content.
- Birthdays, anniversaries, and special occasions celebrated.
- Virtual Stand Up for weekly company updates, and Virtual Monthly Meeting to celebrate our successes and value nominations.
- Remote lunch and learns. Wellbeing support through our online platform, Spill, which offers online therapy sessions.
- New slack channels and ways of creating community remotely.
- Peak Treats to support our team during our busier times - earlier this year we sent out DIY meal kits from popular restaurants during Valentines & Mother’s Day and also collaborated with Graze to send out letterbox snacks to the team.
We apply our five key values of delight, customer first, care, innovation and pride (find out more here), and look to reward those who are demonstrating them exceptionally in their day to day activities.
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Our Recruitment Process*
The interview process will be conducted remotely and will consist of the following:
1. Initial call with Kelly, our Senior Technology Talent Manager a.i.
2. A call with Tonci, our Head of Data
3. Complete an offline technical task will be shared with you
5. Technical interview with the Data Science team
4. Final stage interview with our CEO, Aron
Your application experience is important to us and we’re keen to adapt to make every interaction even better. We welcome feedback on our recruitment process and would love to hear from you directly on how we can improve. If you have any suggestions please feel free to let us know here.
Job Type: Full-time
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