Senior Data Science Engineer (Machine Learning)
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Job Summary
dunnhumby is the global leader in Customer Data Science partnering with the worlds most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight advanced technology and close collaboration to help our clients grow innovate and deliver measurable value for their customers.
dunnhumby employs nearly 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco Coca-Cola Nestlé Unileverand Metro.
Were looking for a Senior Data Science Engineer (Machine Learning) with strong experience building and deploying scalable productionready ML systems. Youll work with data scientists engineers and product teams to develop models that power dunnhumbys personalisation recommendations forecasting and customer insight products across areas such as basket understanding sequence modelling NLP multimodal applications and generative AI.
As part of the AI Strategy Research & Enablement team youll help shape dunnhumbys AI direction turning new research into practical capabilities that influence products platforms and longterm strategy. Youll work across data science engineering and product partnering with senior leaders to guide priorities and drive innovation.
What we expect from you
- Strong handson experience with modern deep learning frameworks (preferably PyTorch)
- Deep expertise in transformer architectures such as BERT GPT T5 and TimeSeries Transformers
- Experience delivering endtoend ML pipelines including testing data processing training validation versioning deployment and monitoring
- Solid understanding of MLOps tooling (e.g. MLflow Kubeflow Airflow Docker Kubernetes)
- Strong Python engineering skills writing clean modular productionready code (plus bash and Git/GitLab)
- Experience working in cloud environments ideally GCP or Azure
- Excellent communication skills able to explain complex concepts to both technical and nontechnical audiences
- Collaborative approach when working with data scientists product teams and senior stakeholders
- Experience with largescale recommendation systems or other retailfocused ML applications
- Knowledge of distributed training (e.g. DeepSpeed PyTorch Distributed)
- Familiarity with vector databases embeddings and retrieval techniques
- Understanding of feature stores metadata stores and model registries
- Experience working with large datasets including efficient loading batching and streaming (PySpark preferred)
- A practical deliveryfocused mindset that balances innovation with scalability and robustness
- Curiosity and enthusiasm for applying cuttingedge ML research to commercial problems
- A drive to raise engineering standards and help evolve dunnhumbys ML ecosystem
What you can expect from us
We wont just meet your expectations. Well defy them. So youll enjoy the comprehensive rewards package youd expect from a leading technology company. But also a degree of personal flexibility you might not expect. Plus thoughtful perks like flexible working hours and your birthday off.
Youll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble small-business feel that gives you the freedom to play experiment and learn.
And we dont just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network dh Proud dh Family dh One dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others so if this is important to you please raise this with your recruiter as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Global leader in Customer data science, retail media and analytics, experts in working with brands, grocery retail, retail pharmacy, and retailer financial services.
