Senior Data Scientist, Moonpig
Salary not provided
Python
Elasticsearch
Mid and Senior level
London
Online company for personalised cards, gifts and flowers
Be an early applicant
Online company for personalised cards, gifts and flowers
201-500 employees
B2CRetailFlowerseCommerce
Be an early applicant
Salary not provided
Python
Elasticsearch
Mid and Senior level
London
201-500 employees
B2CRetailFlowerseCommerce
Company mission
To help people connect and create moments that matter.
Role
Who you are
- Have 3+ years of experience as a Data Scientist using Natural Language Processing (NLP) techniques. Including: You have used Named Entity Recognition (including tokenization, Part-of-Speech tagging, feature extraction and modelling) to detect and classify entities within a text. Additionally, you have experience with fuzzy matching algorithms like Levenstein distance and n-grams for handling spelling errors and typos
- You have a range of general machine learning experience, and are proficient in building and fine-tuning complex models, including feature engineering, and hyperparameter tuning. You have a deep understanding of model evaluation and validation techniques, ensuring robustness and generalizability of models
- Python expert and excel at writing highly efficient, production-ready code. You use your knowledge of software engineering best practices such as testing, continuous integration (CI), and version control to build end-to-end machine learning systems that are both scalable and maintainable
- Are a great communicator, able to summarise your findings to non-technical stakeholders effectively
- Previously used Vector Embedding Models like Word2Vec, GloVe, FastText, BERT, GPT, or transformer-based sentence embeddings to represent text in vector space
- Previous experience with Search in an ecommerce environment, including traditional keyword search (like Elastic Search) and Vector Search
- Previous experience with implementing Learning-to-Rank algorithms in an ecommerce context
- Always curious and looking for ways to learn new things. When we want to develop a novel solution for handling typos, you dive into the published research and figure out how we could translate cutting edge methodologies to our own systems
- Able to explain complex data science concepts in a clear and persuasive way. Imagine you're advocating making significant changes to our approach to Named Entity Recognition, and a non-technical stakeholder challenges your recommendation. You can clearly articulate the benefits, risks and tradeoffs of your solution, turning this stakeholder into a trusted champion for your work
- Great team player with impeccable collaboration skills. When you're investigating how we might improve our contextual search suggestions, you share your ideas with the team and seek feedback early and often, bringing others on the journey with you
- Have a commercial mindset. If you need to decide between building a large, game-changing solution, or a small iterative change, you know how to balance achieving the best possible model performance against pragmatic business needs
- Comfortable working in a fast-paced environment. If you're working on a big project, and external circumstances change, you can quickly pivot to take advantage of the new opportunity
- Embrace a test-and-learn approach. When you've got a new idea for how our spellchecker can be improved, you find a way to quickly validate your hypothesis. If your idea doesn't work, that's fine - it's a learning opportunity and you'd rather learn quickly than worry about creating the perfect solution
What the job involves
- We’re looking for an experienced Data Scientist to work with our innovative Data Science, Product and Engineering Teams, to drive the evolution of our on-site search capabilities
- Building on top of our existing Vector Search capabilities, you’ll use Natural Language Processing (NLP) techniques to enhance our understanding of customer queries to deliver highly relevant and personalised search results
- You'll continually validate your hypotheses through A/B testing, ensuring we provide an intuitive and satisfying search experience that helps our customers make moments that matter
- You will also have the opportunity to bring your expertise to our rich text-based dataset across a variety of projects outside of Search, as part of the wider data science team
- Design, implement, and fine-tune innovative search algorithms to improve search relevance, accuracy, and performance
- Develop and optimise NER models to better understand and classify entities within user queries, enhancing semantic search capabilities
- Design and implement models and algorithms to handle user typos and misspellings, ensuring robust and user-friendly search experiences
- Build and refine models that suggest relevant search queries based on user inputs and context to improve user search experience
- Develop algorithms to identify and surface trending searches based on user behaviour and historical data
- Leverage vector search techniques to enhance semantic understanding and retrieval performance of user queries
- Conduct detailed data analysis to identify search performance issues, and design A/B tests to validate improvements and new features
- Work closely with our Search product management, engineering, and UX teams to define search-related requirements, priorities, and implementation strategies
- Contribute to the wider Data Science team through knowledge sharing and peer review, and, where appropriate, working on projects that require your expertise outside of the Search team
- Keep abreast of the latest advancements in machine learning, NLP, and search technologies to continuously evolve and improve the search platform
Salary benchmarks
Our take
When Moonpig was founded in 2000, it bought into the idea that a personalised gift is always more meaningful, whether sent from the sofa, the commute, or the gym. Customers quickly bought into this vision, and Moonpig saw rapid growth culminating in its 2011 acquisition by Photobox for £120m.
Since then, Moonpig has seen continued success. Through expansion into new products such as flowers (Moonpig is now a top-3 online flower seller) and the development of its own app, Moonpig has established its place within the market for personalised gifts.
Now, Moonpig is looking to expand even further. Recent innovations have included the introduction of giant cards, and the company has also secured the ability to create exclusively branded ranges alongside Disney and Warner Brothers. Furthermore, with 90% of greetings cards being sold offline, Moonpig still has a huge potential for new growth.
Freddie
Company Specialist
Insights
Some candidates hear
back within 2 weeks
48% female employees
3% employee growth in 12 months
Company
Employee endorsements
Career progression
"I joined Moonpig as an Individual Contributor and have had endless opportunities for progression - not only in the form of promotion but also in the..."
Company benefits
- Contributory Pension Scheme
- Enhanced Maternity and Paternity Leave
- Life Insurance
- 25 days holiday (excl. bank holidays)
- Work from home opportunities
- Health insurance
- Video therapy sessions through Spill, to support positive mental health
Company values
- Be Brave - When we see opportunities, big or small, we grab them. Our strong judgement and the knowledge that others have our back means we feel confident to take risks. Being brave comes in all shapes and sizes; sometimes it’s ‘just’ speaking up or giving a colleague some feedback that you know will help them grow. It’s about challenging, getting involved and making yourself heard
- Raise the Bar - We take ownership, deliver on our promises and continuously strive to raise the bar in everything we do. We don’t just meet our goals, we exceed them - and we’re always thinking five steps ahead to figure out how we can increase our impact even further
- Keep it Simple - We always strive to simplify both what we do and how we do it. That means that we focus on the things that will have the most impact, figure out the simplest way to deliver them and don’t, ever, over-complicate things
- Think Team - We do what’s right to help everyone thrive – not what feeds our ego. We think beyond the boundaries of our immediate team and call on others to make magic happen across teams. We have deep levels of trust with one another and share information generously, but never excessively. We win together because we think of the ‘we’ before the ‘I’
Company HQ
Farringdon, London, UK
Articles
Leadership
Nickyl Raithatha
(CEO, not founder)Previously worked in banking at Goldman Sachs, then went on to lead Rocket Internet's eCommerce portfolio, before founding Finery, a womenswear brand.
People progressing
Joined as Head of Product Security in November 2019, promoted to Head of Security after 5 months and then to Director of Security of Engineering in January of 2022.
Diversity, Equity & Inclusion at Moonpig
Hannah Berman (Senior TA Partner )
- We are very proud of our Employee Resource Groups which include: Women's Inclusion Network, LGBTQ+ Committee, Moonpig Against Racism
- We conduct unconscious bias training across the business and also focus in on the recruitment journey as well for Hiring Managers to support everyone and promote inclusion.
- Our Job Descriptions are put through both a gender decoder and also a readability decoder to be more inclusive for both men and women and also for those who may have difficulty reading complex job descriptions.
- We invest in specific platforms which focus on diverse backgrounds and individuals in terms of sourcing and recruiting talent in to Moonpig.
- We provide mental health support for every employee through a 3rd party provider. This can be accessed directly and confidentially.
- We hire 3 apprentice engineers each year with at least 50% of these being females.
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