6 of 6 Remote/Hybrid R Jobs in Manchester

data extraction and manipulation. Familiarity with data visualization tools such as Tableau or Power BI. Basic knowledge of programming languages like Python or R for data analysis. Understanding of data warehousing concepts and ETL processes. Experience with data quality and validation techniques. Strong analytical and problem-solving skills. Excellent attention ...

embedded into business processes and decision-making.**Technical Skills:**Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search ...

designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning ...

decisions. With a strong foundation in SQL, proficiency in data visualization tools like Tableau and Power BI, and basic programming skills in Python or R, you will play a crucial role in enhancing data-driven strategies. Join a team that values creativity, offers flexible working hours, and fosters professional growth ...

Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep ...

real commercial impact, ideally in a consumer‐focused environment Strong SQL skills and experience working with large‐scale data warehouses Hands‐on experience with R and/or Python Solid understanding of core methods: classification, regression, forecasting, clustering, nearest neighbour, neural networks, embeddings, dimensionality reduction and anomaly detection Strong statistical ...