FYLD
Senior Data Scientist
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Senior Data Scientist
FYLD is looking for a Senior Data Scientist reporting into our Head of Data Science & AI. This is a key hire for the business, as we continue to invest in our AI and data capabilities, which will increasingly underpin the value we can offer customers and our long term roadmap. We need an experienced AI leader who can contribute to the broader product and company strategies, hire and develop an excellent team, and institute effective ways of working that maximise the results we can deliver for our customers.
FYLD has strong traction in the market and a healthy sales pipeline based on the productivity gains that can be realised from digitising processes for workers in the field. However, we are just scratching the surface of the value that we can unlock for our customers. By investing further in our AI capabilities we can deliver even more value for customers, for example predicting and preventing delays and site stoppages, by forecasting job durations to enable dynamic scheduling, while also deepening our competitive moat. The Senior Data Scientist will lead this drive to build our AI capabilities, and translate this into products we can commercialise.
Key Responsibilities
- Build computer vision algorithms for tasks such as object detection, image segmentation, and scene understanding.
- Build & own the technology roadmap for Data Science that allows us to deliver this vision.
- Work closely with data engineers to improve data quality, labeling efficiency, and model accuracy.
- Work closely with product teams to understand challenges & opportunities and communicate potential solutions.
- Contribute to the long term product vision.
- Ensure customers are successful in their use of our AI functionality.
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Experience
Key Experience:
- At least five years experience in frameworks such as PyTorch and Tensorflow.
- Two years experience in building & deploying object detection models at scale.
- Experience in training, fine-tuning, distilling computer vision models in production.
- Apply data augmentation, transfer learning, and hyperparameter tuning to optimise model performance on complex datasets.
- Solid understanding of Large Language Models, including how to apply multi-modal models.
- Understanding of deployment into Cloud based services - AWS, GCP, Docker, Linux.
- Experience deploying ML models to edge devices with necessary optimisations.
Additional Requirements:
- Advanced degree in Computer Science, Statistics, Data Science or equivalent.
- Experience building and commercialising ML models.
- Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionisation and feedback capture.
- Knowledge of data ecosystems and tools, spanning from data ingestion, data engineering, data quality, data orchestration, and data privacy considerations and governance.
- Data-informed - highly analytical thinker and structured problem-solver.
- Demonstrates initiative while collaborating effectively with others to drive solutions forward.
- Stakeholder management - ability to influence and advise key stakeholders at all levels across the organisation.
- Operational execution - can run the processes and culture needed to deliver value from data and analytics teams reliably.
- Comfortable working with ambiguous or evolving requirements, with a proactive and adaptable approach.
- Experience testing and validating non-deterministic systems.
- Experience designing architecture and deployment systems for CV tasks is also beneficial.
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Location
This role is remote within the UK or Europe, with commitment to commute to London for face-to-face meetings. This is a full time role.
Package
Benefits include:
- Private health insurance
- Private dental cover
- Pension scheme
- Annual performance bonus
- Death in service cover
- Commute expensed
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