Belfast, Northern Ireland, United Kingdom Hybrid/Remote Options
VANRATH
science, ideally within energy, optimisation, or IoT-focused applications. Solid grasp of machine learning techniques such as regression, classification, clustering, and time series analysis. Degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, Physics). Desirable: MSc or PhD in a related field. Experience deploying ML models in a cloud environment. Familiarity with Git , cloud data platforms, or Agile More ❯
prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model More ❯
high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability More ❯
skill set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development More ❯
Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge: A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability More ❯
where necessary at interview: ESSENTIAL CRITERIA 1. Option A: Degree level qualification in a relevant subject (e.g. Data Analytics, Information Systems, Business Management, Business Administration, Engineering, Science, Statistics/Mathematics or a related field) and two years' experience including all listed below OR Option B: Relevant professional certifications in Microsoft Power BI, Microsoft Fabric, data analytics, SQL or related areas More ❯
Team/Role Overview Responsible for analysing, presenting and sharing capital and related data using Tableau and other tools as needed. Aim for as much transparency and accessibility as possible, empowering others to utilise data and tools. Within Counterparty Trading More ❯
