Data Scientist

About Us

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients – which include Pragmatic Play – ARRISE helps deliver exceptional gaming experiences to millions of players worldwide. Our global team of over 10,000 talented professionals is shaping the future of iGaming from headquarters in Gibraltar to offices across Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, the UAE and other upcoming destinations.

• Design and develop advanced machine‑learning algorithms for image, text, audio, and tabular data
• Develop and optimize pipelines in Azure to train models across various domains
• Implement end‑to‑end applications in Python, including unit and integration tests
• Continuously monitor system performance and troubleshoot issues
• Collaborate with cross‑functional teams to produce solutions to complex problems

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong proficiency in Python, PyTorch, and Tensor Flow
• Proven experience managing and analyzing large datasets
• Solid understanding of foundational deep‑learning algorithms
• Expertise in unit and integration testing (Pytest) and CI/CD pipelines
• Experience with data versioning, model management, experiment tracking, key evaluation metrics, and optimisation techniques
• Extensive knowledge and hands‑on experience in Docker
• Solid understanding of traditional computer vision and classical machine learning
• In‑depth experience with computer vision models for object detection, image classification, and segmentation
• Experience with Azure services (ML Studio, Data Factory, Functions, Blob Storage) or an equivalent cloud provider
• Knowledge of AWS services, especially EC2 and S3
• Experience with Hugging Face Transformers, Elastic Stack, and Git Lab CI pipelines
• Experience with prompt engineering, retrieval‑augmented generation (RAG), large‑language‑model frameworks (Lang Chain, Llama Index, Haystack, etc.), and fine‑tuning LLMs

Data Scientist (NLP Deep Learning Engineer)

Locations:
London, England, United Kingdom;
Johannesburg, Gauteng, South Africa;
Madrid, Community of Madrid, Spain.