4 of 4 Data Munging Jobs in the South West

power facilities and transmission assets across North America, serving various customers that provide low-cost clean energy to millions of consumers. Responsibilities JOB PURPOSE The Energy Systems Data Scientist role develops, maintains, and analyzes the input, output, and connection datasets between Pattern’s internal capacity expansion and production cost modeling suite (WIS:dom). The role will evolve … in scope as the data architecture and stack progress from its current state. The role will enable ESP to analyze North American energy markets and develop a comprehensive view of the current Pattern pipeline of construction, operating asset performance, and market dynamics that might create opportunities or risks. The role provides critical support for ESP to provide business … actionable analysis to other departments of Pattern. KEY ACCOUNTABILITIES Create, manage, and analyze input and output data for/from executed model simulations using the WIS:dom suite of tools. Provide analysis of these inputs and outputs to the ESP team and external groups. Integrate large datasets into the modeling framework. Gather and validate input data More ❯

About The Role We have a new and exciting opportunity to join our Data team as a Data Quality Specialist. You will be responsible for developing, implementing, and monitoring data quality frameworks, processes and roadmaps to ensure critical business data is accurate, complete, timely, and reliable. This role supports the organisation’s … data governance strategy and regulatory compliance by working with data owners, stewards, custodians and business users, along with technology teams to identify and resolve data quality issues across key data domains. We offer Hybrid working however as this role is linked to our Bournemouth offices, we will require you in on a … regular basis (happy to discuss). This role is a 6 month Fixed Term Contract. Key Accountabilities •Develop and implement data quality rules, validations, controls and metrics for key data elements across multiple domains (e.g. customer, product, transaction, finance). •Design and run data profiling, data quality assessments, and root cause analysis More ❯

Data Scientist Salary: £35,000 - £45,000 Are you passionate about solving complex problems and using data to make a real-world impact? Do you thrive in a collaborative environment where innovation and continuous learning are part of everyday life? If so, we’d love to hear from you! We’re looking for a Data Scientist to join our high-profile Counter-Fraud Data Science and Advanced Analytics Team at Aviva. This is your chance to work with one of the richest insurance datasets in the world and help shape the future of fraud detection through cutting-edge analytics and AI. A bit about the job: Apply advanced analytics and machine … learning techniques to tackle fraud-related challenges. Work across the full data science lifecycle – from problem definition and data wrangling to modelling and deployment. Collaborate with stakeholders to deliver actionable insights and productionised AI solutions. Be part of Quantum, Aviva’s dedicated Data Science community, and grow your skills through continuous learning and knowledge More ❯

Junior Data Scientist Role Overview: We are seeking a Junior Data Scientist to join our dynamic team. The primary responsibility of this role is to collaborate with our data science team in cleaning and processing the data that is ingested by Envelop's proprietary stochastic cyber risk model. The ideal candidate will … have a keen eye for detail, an analytical mindset and a passion for data. This role is responsible for cleaning, enriching, and ingesting insurance portfolio data and the processes associated with that. Responsibilities: · Clean, standardize, and validate insurance portfolio data using Python (especially Pandas) to align with a common schema, ensuring consistency, completeness, and high data quality for downstream analysis. · Develop, maintain, and improve internal utilities and functions that support the data cleaning pipeline, including code refactoring, fixing bugs, and implementing new features. · Collaborate on initiatives involving large language models (LLMs) to automate data preparation tasks, including prompt engineering, experimentation, and evaluation of model outputs. · Contribute to data More ❯