Data Scientist
Version 1
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Keywords
Job Description
- Develop and deploy ML and data science solutions from proof of concept to production
- Perform data exploration, feature engineering, and model development on large datasets
- Apply techniques across prediction, classification, clustering, NLP, and multimodal AI
- Use both traditional ML and GenAI / LLM approaches where appropriate
- Track experiments, metrics, and model versions (e.g. MLflow)
- Collaborate with data engineers and AI engineers to integrate models into platforms
- Continuously improve models based on performance, feedback, and data drift
- 5+ years in applied data science or machine learning roles
- Strong Python skills with libraries such as Pandas, Scikit-learn, NumPy
- Experience with Databricks and Spark
- Hands-on use of MLflow or similar model lifecycle and MLOps frameworks
- Experience with deep learning frameworks (e.g. PyTorch)
- Practical experience with GenAI / LLMs
- Exposure to AWS Bedrock & AWS SageMaker
- Strong SQL and data analysis skills
- Experience in regulated or security conscious environments
- Exposure to production model deployment patterns
- Familiarity with Responsible AI and model governance
- Client facing or consulting experience
About The Company
Version 1
Version 1 is a leader in digital transformation, partnering strategically with global organisations to transform and adopt technology and drive innovation in a responsible way. With an end-to-end offer designed to address the most difficult challenges faced by customers, and supported by the latest cutting-edge technologies, Version 1 is focused on delivering successful customer outcomes through the power of world-class teams. This pledge is underscored by the key principles of the organisation, a triangle of balanced priorities comprising customer success, empowered people, and a strong organisation. Version 1 is made up of a fast-growing team of 3,400+ people across 4 continents, all innovating differently to drive value through sustainable transformation.
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