following database systems – DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of More ❯
Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data More ❯
Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data More ❯
Frameworks : PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data More ❯
background in API development, REST, gRPC. Programming skills in Python, Go, Java, or similar. Knowledge of data science concepts and tools such as Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing and security tools like Postman, Burp Suite, OWASP ZAP. Knowledge of database systems such as MySQL. Experience with More ❯
ML experience in real-world settings Advanced degree in statistics, mathematics, computer science, or similar Strong background in Python, SQL, and key libraries (NumPy, Pandas, Scikit-Learn) Solid understanding of machine learning algorithms, time series forecasting, and model evaluation Familiarity with cloud platforms (AWS and/or GCP) Experience with More ❯
Knowledge of data science concepts such as data preparation, exploration, modeling, applicable to structured or unstructured data. Proficiency with data science tools like Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing and security tools such as Postman, Burp Suite, OWASP ZAP. Knowledge of database management systems like MySQL. Hands More ❯
Knowledge of data science concepts such as data preparation, exploration, modeling, applicable to structured or unstructured data. Experience with data science tools like Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing and security tools such as Postman, Burp Suite, OWASP ZAP. Knowledge of database management systems like MySQL. Hands More ❯
years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯
years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯
years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯
years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯
years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯
and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands More ❯
and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands More ❯
and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands More ❯
and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands More ❯
and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
CMSPI
Science, Mathematics, Statistics, or a related field Strong understanding of probability, statistics, and linear algebra Proficiency in Python, including libraries such as scikit-learn, pandas, seaborn, and matplotlib Experience writing and optimising SQL queries for data retrieval and manipulation Ability to communicate complex insights in a simple and effective manner More ❯
spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling More ❯
and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Oodle Car Finance
in Scrum ceremonies. Support Data Science infrastructure. Essential Requirements: Proficiency in Python 3 and best practices. Experience with libraries/tools like FastAPI, Pandera, Pandas, Pydantic. Advocacy for automation testing; familiarity with Pytest. Experience building microservices and REST APIs. Knowledge of git, Docker, AWS, Github actions, and modern IDEs like More ❯
scalable systems Strong API development skills (REST, gRPC) Programming skills in Python, Go, Java, or similar Knowledge of data science concepts and tools (Jupyter, pandas, etc.) Experience with API testing and security tools (Postman, Burp Suite, OWASP ZAP) Knowledge of database systems like MySQL Hands-on experience with security frameworks More ❯
API development skills with REST or gRPC. Programming skills in Python, Go, Java, or similar. Knowledge of data science concepts and tools like Jupyter, pandas, etc. Experience with API testing and security tools such as Postman, Burp Suite, OWASP ZAP. Familiarity with database systems like MySQL. Experience with security frameworks More ❯
ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. Remote work is possible with occasional office visits; based anywhere More ❯
