Senior Data Scientist
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Job Summary
Right now is one of the most exciting moments to join Popsa. Deloitte named us one of the UKs fastest-growing technology companies and the Financial Times recognised Popsa among the Top 5 fastest-growing software companies in Europe.
Were backed by world-class investors and the world is noticing. Our iOS and Android apps are available in 12 languages trusted by more than 12 million people who have created over 5 million photobooks shipped to 50 countries. With more than 350000 five-star reviews were one of the highest-rated consumer apps anywhere.
But the real story isnt the numbers its the memories behind them.
Were living in a time where we capture more photos than ever before. Billions of moments sitting unseen in camera rolls and clouds mixed with screenshots receipts or where we parked the car. We are great at documenting life but not so great at preserving the meaning in it.
Popsa is changing that.
Since launching in 2016 weve built an award-winning platform that removes every barrier to transforming your favourite memories into something beautifully tangible. No design skills. No time-sink. Just the joy of holding real stories in your hands. A celebration of the people and moments that make life worth living.
This is only the beginning.
Learn more about what its like to work at Popsa
Read about the technology were building
About the Role
Youll design train and deploy machine learning systems that directly impact millions of users; from computer vision models that understand photo libraries at scale to generative AI features that write captions suggest titles and curate personalised Memories albums. Youll own the full lifecycle from prototyping to production collaborating closely with engineering and product teams to ship features that help people rediscover the moments that matter.
Exciting projects youll work on
- Develop large-scale personalised curation systems that process entire photo libraries applying computer vision and machine learning to detect events relationships and themes and automatically generate structured Memories albums at scale
- Apply generative AI across the company; from real customer-facing product features such as title suggestions and captions to internal systems such as customer support
- Build and deploy large-scale convolutional neural networks trained on tens of millions of images with datasets growing daily
- Scale inference and serving infrastructure our FastAPI servers handle millions of requests in production
Expertise
- Excellent coding ability in Python
- Solid experience with SQL for querying and transforming large datasets
- Strong understanding of statistics data mining and predictive analytics techniques
- Experience developing and applying various machine learning algorithms including classification regression and clustering
- Hands-on experience deploying and testing generative AI models in production
- Comfort with engineering-heavy workflows (CI/CD containers infrastructure)
- Hands-on experience with Docker and Terraform
- Exposure to AWS (e.g. S3 ECS SageMaker EC2)
- Analysis of user data to personalise content improve engagement and optimise user journeys
Mindset
- A problem-solving curious and inquisitive attitude
- Clear communicator with a keenness to work collaboratively able to convey complex findings to both technical and non-technical stakeholders
- Constructive approach to code reviews and architectural discussions
Responsibilities
- Design train and deploy machine learning models that directly impact customers every day
- Own the full stack of data science development: from prototyping models to production deployment and monitoring
- Clean transform and prepare data for analysis handling missing values and inconsistencies to ensure reliability
- Extract insights from large complex datasets (structured and unstructured) to identify trends build predictive models and develop algorithms for creative applications
- Collaborate closely with product engineering and marketing teams to ship features end-to-end
- Contribute to improving infrastructure for large-scale training testing and evaluation
- Design and conduct statistical experiments to evaluate creative strategies and optimise outcomes
- Present data findings and insights in a meaningful and visually compelling way to diverse audiences including creative teams and leadership
- Stay updated on the latest advancements in data science share knowledge and contribute to team learning
Nice to Have
- Experience with recommender systems
- Familiarity with large-scale training pipelines (distributed training GPU scaling)
- Experience with multi-head CNN architectures or multi-task learning for robust model training
- Contributions to open source technical talks or side projects showing initiative
To learn more about this role or the company contact us through youre the sort of person who cares about the detail and stays kind under pressure youll fit in.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Discover the fastest, easiest way to make a photo book, straight from your phone or tablet. Just pick your photos – our clever app creates the perfect layout instantly.
