/services and their integration with databases (e.g. Postgres); You are familiar with the key tools of the Python data science stack, e.g. Pandas, Numpy and scikit-learn; Some experience with training and deploying ML models; You enjoy writing elegant, well-tested and maintainable code; You are a team player More ❯
efficiency and effectiveness. Technical Expertise: Advanced proficiency in Python with minimum demonstrable programming experience including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of More ❯
judged by the ability to deliver timely solutions to portfolio and risk managers within the firm. Mandatory Requirements 3+ years Python development experience (pandas, numpy, polars, jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database technologies More ❯
/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage More ❯
/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage More ❯
using Python and TypeScript, writing clean, well-structured, and maintainable code. Design and implement high-performance solutions for processing large datasets using tools like NumPy and Pandas. Assess and select the best tools, frameworks, and technologies to support evolving business and technical requirements. Develop and maintain cloud-based infrastructure, ensuring More ❯
using Python and TypeScript, writing clean, well-structured, and maintainable code. Design and implement high-performance solutions for processing large datasets using tools like NumPy and Pandas. Assess and select the best tools, frameworks, and technologies to support evolving business and technical requirements. Develop and maintain cloud-based infrastructure, ensuring More ❯
priority. Development and maintenance of Continuous Integration (CI) pipelines. Complex deployments on AWS. Docker or comparable containerization technologies. Nice to have experience: Experience using numpy/pandas/torch/etc. Experience with Golang. Our salary range for the role is £70,000 to £130,000, depending on experience and More ❯
exposure to capital markets or trading (equities and/or execution). Technical Skills: Proficient in Python with some exposure to data analysis (Pandas, NumPy) or similar (R, MATLAB). Solid background in object-oriented programming (Java preferred; C++ or C# also valued). Familiarity with Linux-based systems (configuration More ❯
A degree in a highly numerate subject is essential At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Strong understanding of object-oriented design principles for usability and maintainability Experience with Git in a version-controlled environment Knowledge of parallel More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Low Carbon Contracts Company
A degree in a highly numerate subject is essential At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Strong understanding of object-oriented design principles for usability and maintainability Experience with Git in a version-controlled environment Knowledge of parallel More ❯
practices in software engineering and analytics. What You Bring Extensive experience in analytics engineering or model/data engineering roles. Advanced Python coding skills (Numpy/Pandas) and SQL expertise. Proven ability to lead technical workstreams and mentor other engineers. Strong communication skills to navigate client relationships and translate technical More ❯
practices Experience with cloud technologies (AWS, Azure, or GCP) Solid understanding of financial markets and risk concepts Experience with data processing and analysis libraries (NumPy, Pandas) Nice to Have Experience with financial risk management systems or trading platforms Knowledge of quantitative finance or financial mathematics Familiarity with CI/CD More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Hunter Bond
practices Experience with cloud technologies (AWS, Azure, or GCP) Solid understanding of financial markets and risk concepts Experience with data processing and analysis libraries (NumPy, Pandas) Nice to Have Experience with financial risk management systems or trading platforms Knowledge of quantitative finance or financial mathematics Familiarity with CI/CD More ❯
effectively with scientists, developers, application analysts, managers and IT professionals Extensive experience with Python, including data analysis and scientific computing tools such pandas and NumPy Strong understanding of Web app development, with rxperience in JavaScript, Typescript, or ReactJS Good understanding of web application frameworks such as Flask or FastAPI Experience More ❯
services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective data engineering. Expertise in managing and optimising data architectures within data warehouse and lakehouse environments is a core requirement. Proficiency in More ❯
and efficient code development practices. Knowledge of Apache Spark and similar programming to support streaming data. Experience with some of the following Python libraries: NumPy, Pandas, PySpark, Dask, Apache Airflow, Luigi, SQLAlchemy, Great Expectations, Petl, Boto3, matplotlib, dbutils, koalas, OpenPyXL, XlsxWriter. Experience with monitoring and logging tools (e.g., Prometheus, Grafana More ❯
Bath, Somerset, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
a strong python software engineering skill set with a solid data science background so we will be looking for skills across: Python Python Frameworks (NumPy, Django, etc) Writing and implementing Code Testing Quality assurance Software tool deployment AWS (Lambda, AWS integrations etc) Metaflow & Prefect Key will be working with Raster More ❯
team. Required: -Bachelor's Degree -Experience with Python, JavaScript, TypeScript, or SQL -Experience with ETL pipelines -Experience Git, SVN, or Mercurial Desired: -Experience with NumPy, scikit-learn, or Pandas -Experience with REST APIs (Python or Node.js) -Experience with writing SQL scripts for web applications The role is located in Springfield More ❯
Skills & Experience: 5+ years of experience in Python development, ideally within financial services Strong knowledge of Python frameworks (e.g. Flask, Django), data libraries (Pandas, NumPy) Cloud-native experience, especially Microsoft Azure (Functions, Data Lake, etc.) Familiarity with DevOps practices (Git, CI/CD, testing frameworks) Experience with SQL/NoSQL More ❯
Skills & Experience: 5+ years of experience in Python development, ideally within financial services Strong knowledge of Python frameworks (e.g. Flask, Django), data libraries (Pandas, NumPy) Cloud-native experience, especially Microsoft Azure (Functions, Data Lake, etc.) Familiarity with DevOps practices (Git, CI/CD, testing frameworks) Experience with SQL/NoSQL More ❯
Bath, Somerset, United Kingdom Hybrid / WFH Options
Cathcart Associates Group Ltd
of key data products. Tech Stack: Python - Core language for geospatial data processing Rasterio/GDAL - For handling and processing raster datasets xarray/NumPy/Pandas - For data manipulation and analysis AWS - For cloud-based data storage and processing PostGIS - For spatial data management (nice to have) What you More ❯
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 , or More ❯
internal teams. Tech: While they use a range of technologies internally, familiarity with open-source tools is highly valued. Languages & Libraries: Python, R, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (where applicable) Data Engineering & Pipelines: dbt, Airflow, SQL, Spark, Dask More ❯
