Fixed Income Credit Rates Bonds ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built order tracking and communication platform. More ❯
and a desire to work with other software engineers. - A passion for learning new skills, including financial concepts and trading workflows. Candidate background - Python development, including: - Scientific libraries (eg, Pandas, Polars, NumPy, SciPy). - Web technologies (eg, Flask, FastAPI). - Data engineering experience. - Familiarity with cloud infrastructure (eg, AWS). Nice-to-Have - JavaScript UI frameworks (eg, React, Vue, Angular More ❯
software development, including data acquisition and/or data analysis. (S&I) Experience developing well-designed, robust software in Python and its scientific packages (such as numpy, scipy, matplotlib, pandas). (S&I) Understanding of modern software development practices (e.g. testing, version control, continuous integration, Agile, object-oriented design). (S&I) Experience of leading software projects through the full More ❯
Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
LA International Computer Consultants Ltd
experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline … OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Method Resourcing
Graduate/postgraduate degree in engineering, mathematics, physics, or statistics. Experience in financial services, insurance, or e-commerce. Familiarity with cloud-based deployment, neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas, SQL, API development, or CI/CD pipelines. Background in software engineering or DevOps/MLOps. RSG Plc is acting as an Employment Business in relation to this vacancy. More ❯
York, North Yorkshire, England, United Kingdom Hybrid / WFH Options
Method Resourcing
Graduate/postgraduate degree in engineering, mathematics, physics, or statistics. Experience in financial services, insurance, or e-commerce. Familiarity with cloud-based deployment, neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas, SQL, API development, or CI/CD pipelines. Background in software engineering or DevOps/MLOps. RSG Plc is acting as an Employment Business in relation to this vacancy. More ❯
approaches. Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
and reporting workflows Present clear, actionable pricing insights to commercial and executive stakeholders Must-Haves Master's in Statistics, Econometrics, Data Science or related quantitative field Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation Proven track record running A/B tests or causal analyses on pricing levers Excellent communication-able to explain complex More ❯
extremely large datasets to support complex forensic analysis and reporting. Responsibilities Perform extensive data wrangling to clean, structure and prepare large datasets from multiple sources. Use SQL and Python (Pandas) to transform and load data into analytics environments. Conduct thorough quality checks, spotting inconsistencies or issues proactively. Support senior consultants by ensuring data is ready for robust comparative analysis and … essential. This work involves dissecting sensitive datasets to identify discrepancies and support complex conclusions, far beyond typical data analyst or BI dashboard work. Requires expert-level SQL and Python (Pandas) skills to handle hundreds of millions to billions of rows across diverse data sources. Key Requirements 3-5 years' data-focused experience in professional services or consulting environments. Proven track … or similar consultancy , delivering on complex, high-pressure projects. Advanced SQL for building, optimising and troubleshooting queries on very large static datasets. Expert Python scripting, with deep use of Pandas for data manipulation. Strong experience handling multiple data formats: Oracle databases, text files, XML. UK-based, with flexibility for occasional days in the London office. Desirable Experience with financial crime More ❯
and sensitive data. Key responsibilities include: Ingesting and transforming large datasets (100M+ rows), from Oracle, SQL Server, and flat files (CSV, XML). Writing and reviewing SQL and Python (Pandas) scripts to clean and join data across multiple sources. Conducting forensic comparisons between data sources (e.g., matching millions of XML records to transactional logs). Supporting peer code reviews to … to troubleshoot logic and ensure audit-quality outputs. KEY SKILLS & REQUIREMENTS Strong SQL (T-SQL, Oracle, or PostgreSQL) - must be comfortable with complex joins and large volumes Python with Pandas - mandatory for data transformation and wrangling Experience working with large operational databases, text files, and legacy data sources Strong attention to detail and a forensic mindset - ability to spot inconsistencies More ❯
You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯
You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯
to create bespoke, scalable data solutions Support data migration efforts from Azure to Databricks Use Terraform to manage and deploy cloud infrastructure Build robust data workflows in Python (e.g., pandas, PySpark) Ensure the platform is scalable, efficient, and ready for future AI use cases REQUIRED SKILLS & EXPERIENCE Strong experience with Azure and Databricks environments Advanced Python skills for data engineering … pandas, PySpark) Proficiency in designing and maintaining ETL pipelines Experience with Terraform for infrastructure automation Track record of working on cloud migration projects, especially Azure to Databricks Comfortable working onsite in London 2 days/week and engaging cross-functionally Strong communication and problem-solving abilities NICE TO HAVES Experience with Qlik or other data visualisation tools Exposure to AI More ❯
learning life cycle - from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (eg pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand how to make More ❯
