151 to 157 of 157 Data Cleansing Jobs in England

current hybrid working arrangement requires office attendance on Mondays, Tuesdays, and Thursdays. Summary of the Role We’re looking for a Data & Automation Engineer to join our AI team. This hybrid technical role blends coding expertise with advanced low-code orchestration to design, build, and maintain data … Head of AI, you’ll play a critical role in connecting agency systems with Generative AI models, ensuring secure, efficient, and accurate data flow. What You Can Expect to Be Doing: Design and deploy sophisticated automation workflows using tools like n8n and Dify. Develop custom scripts (Python ...

current hybrid working arrangement requires office attendance on Mondays, Tuesdays, and Thursdays. Summary of the Role We’re looking for a Data & Automation Engineer to join our AI team. This hybrid technical role blends coding expertise with advanced low-code orchestration to design, build, and maintain data … Head of AI, you’ll play a critical role in connecting agency systems with Generative AI models, ensuring secure, efficient, and accurate data flow. What You Can Expect to Be Doing: Design and deploy sophisticated automation workflows using tools like n8n and Dify. Develop custom scripts (Python ...

qual/mixed methods) Contribute to proposals and RFPs About You Essential 3+ years' experience in analytics and/or research using survey data Hands-on experience with regression, factor analysis and segmentation techniques Strong data wrangling, cleaning and weighting skills Proficiency … Python for analysis and visualisation Curious, exploratory approach to finding insight in data Nice to have Experience with Bayesian as well as frequentist methods Understanding of the full market research project lifecycle Interview Process Screening questions Talent interview Hiring Manager interview In-person task (with opportunity ...

Qualification : Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Mandatory Required Skills: Proficient Python Programming and Time series data Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest ...

Qualification : Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Mandatory Required Skills: Proficient Python Programming and Time series data Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest ...

Qualification : Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Mandatory Required Skills: Proficient Python Programming and Time series data Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest ...

Qualification : Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Mandatory Required Skills: Proficient Python Programming and Time series data Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest ...