Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
ENGINEERINGUK
experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated More ❯
visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information and to write structured technical More ❯
a team, coordinating others, and managing several research projects simultaneously. Fluency in one or more data science programming languages (R, Python with NumPy/pandas, etc., Julia) with experience in writing documentation. Excellent written and verbal communication skills, particularly with wider stakeholders and across disciplines. Proven time management skills across More ❯
visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information and to write structured technical More ❯
as a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and More ❯
collateral). Build and enhance an agentic analysis solution for multi-step financial tasks such as variance analysis, data quality checks, and Python/pandas code generation/execution. Develop a robust testing framework to assess the accuracy, performance, and reliability of AI agents. Create and fine-tune prompt generation … time, accurate insights. Experience: Hands-on development of LLM-based applications (OpenAI, Anthropic, Hugging Face, etc.). Strong Python programming skills, including libraries like pandas , numpy , and experience with data pipelines. Domain experience in finance (liquidity, risk, balance sheet, collateral, etc.). Familiarity with frameworks such as LangChain , Semantic Kernel More ❯
