At Popsa data drives growth and were scaling fast. With over 5 million customers and more joining every week our data science team plays a pivotal role in this growth by developing and executing the business data strategy to build meaningful connections with audiences.
Were looking for a highly skilled and driven Senior Data Scientist who can design train and deploy advanced machine learning systems at scale. Youll work across computer vision natural language processing and recommendation problems training convolutional neural networks on large image datasets fine-tuning large language models and optimising for production use both on servers and on edge. Youll also help design and maintain our FastAPI services that deliver these models into production collaborating closely with engineers and product teams to build features that directly impact millions of users.
This is a really exciting opportunity for someone keen to be at the cutting edge of generative AI using machine learning to identify patterns and develop visualisations to tell compelling data-driven stories for a diverse customer base.
People have never taken more photos than we do today. Our phones are crammed with memories. But although were good at capturing moments were not as good at doing anything with them. Theyll often sit forgotten on our devices or in the cloud shrouded in screenshots receipts and pictures of where we parked the car.
Founded in 2016 weve already built an award-winning app thats made printing your memories so easy and accessible anyone can do it. No more barriers. No more fact everything we do as a business is designed with this ethos. We help people turn their best moments into something beautiful and lasting in no time at all. But this is just the start
Today were best known for photobooks but our vision of the future goes far beyond print. Popsa is building a new generation of services that combine artificial intelligence and thoughtful design to support a healthy processing of the meaningful events and relationships in your life.
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 (look out for our AWS blog coming soon) 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
Core responsibilities
Design train and deploy Machine Learning models that directly impact customers every day
Clean transform and prepare data for analysis handling missing values and inconsistencies to ensure reliability
Own the full stack of data science development: from prototyping models to production deployment and monitoring
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
Present data findings and insights in a meaningful and visually compelling way to technical and non-technical stakeholders including creative teams and leadership
Design and conduct statistical experiments to evaluate creative strategies and optimise outcomes
Continuous Learning - stay updated on the latest advancements in data science software and tools and knowledge share
Key experience
Excellent coding ability in Python
Solid experience with SQL
Strong understanding of statistics data mining and predictive analytics techniques
Hands-on experience with Docker and Terraform
Exposure to AWS (e.g. S3 ECS SageMaker EC2)
Experience deploying and testing generative AI models in production
Comfort with engineering-heavy workflows (CI/CD containers infrastructure)
Experience developing and applying various machine learning algorithms including classification regression and clustering
Excellent verbal and written communication skills to effectively convey complex findings and stories to diverse audiences
Analysis of user data to personalise content improve engagement and optimise user journeys
Ideal but not essential:
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
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
The mission for the role:At Popsa data drives growth and were scaling fast. With over 5 million customers and more joining every week our data science team plays a pivotal role in this growth by developing and executing the business data strategy to build meaningful connections with audiences.Were l...
The mission for the role:
At Popsa data drives growth and were scaling fast. With over 5 million customers and more joining every week our data science team plays a pivotal role in this growth by developing and executing the business data strategy to build meaningful connections with audiences.
Were looking for a highly skilled and driven Senior Data Scientist who can design train and deploy advanced machine learning systems at scale. Youll work across computer vision natural language processing and recommendation problems training convolutional neural networks on large image datasets fine-tuning large language models and optimising for production use both on servers and on edge. Youll also help design and maintain our FastAPI services that deliver these models into production collaborating closely with engineers and product teams to build features that directly impact millions of users.
This is a really exciting opportunity for someone keen to be at the cutting edge of generative AI using machine learning to identify patterns and develop visualisations to tell compelling data-driven stories for a diverse customer base.
People have never taken more photos than we do today. Our phones are crammed with memories. But although were good at capturing moments were not as good at doing anything with them. Theyll often sit forgotten on our devices or in the cloud shrouded in screenshots receipts and pictures of where we parked the car.
Founded in 2016 weve already built an award-winning app thats made printing your memories so easy and accessible anyone can do it. No more barriers. No more fact everything we do as a business is designed with this ethos. We help people turn their best moments into something beautiful and lasting in no time at all. But this is just the start
Today were best known for photobooks but our vision of the future goes far beyond print. Popsa is building a new generation of services that combine artificial intelligence and thoughtful design to support a healthy processing of the meaningful events and relationships in your life.
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 (look out for our AWS blog coming soon) 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
Core responsibilities
Design train and deploy Machine Learning models that directly impact customers every day
Clean transform and prepare data for analysis handling missing values and inconsistencies to ensure reliability
Own the full stack of data science development: from prototyping models to production deployment and monitoring
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
Present data findings and insights in a meaningful and visually compelling way to technical and non-technical stakeholders including creative teams and leadership
Design and conduct statistical experiments to evaluate creative strategies and optimise outcomes
Continuous Learning - stay updated on the latest advancements in data science software and tools and knowledge share
Key experience
Excellent coding ability in Python
Solid experience with SQL
Strong understanding of statistics data mining and predictive analytics techniques
Hands-on experience with Docker and Terraform
Exposure to AWS (e.g. S3 ECS SageMaker EC2)
Experience deploying and testing generative AI models in production
Comfort with engineering-heavy workflows (CI/CD containers infrastructure)
Experience developing and applying various machine learning algorithms including classification regression and clustering
Excellent verbal and written communication skills to effectively convey complex findings and stories to diverse audiences
Analysis of user data to personalise content improve engagement and optimise user journeys
Ideal but not essential:
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
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.
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