4 of 4 Data Enrichment Jobs in the South West

of all Valpak offers, we would love to hear from you! How will I make a difference? Valpak Limited is the UK’s leading provider of environmental compliance and data management services in the UK and internationally. Through working with major retailers and brand holders, Valpak has developed a vast database known as the Environmental Product Information Centre (EPIC … that holds one of the UK’s largest product and packaging data sets . The Data Enrichment Manager will lead a team to ensure EPIC data is accurate and can be used to support Valpak and our clients with trend analysis and insight into packaging and products put on the market. The Data Enrichment Manager will work to identify trends , improve accuracy , and utilise the data to improve knowledge within the sector. What will I be doing? Manage supplier engagement, data processing, data quality, operational data administrators, and India Liaison teams Manage the teams to ensure they are working efficiently and collaboratively . Ensure teams work closely and provide More ❯

Social network you want to login/join with: Data Engineer - Hybrid/Bristol - Up to £55k, Bristol col-narrow-left Client: Location: Bristol, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 5e1215c48b22 Job Views: 4 Posted: 25.06.2025 Expiry Date: 09.08.2025 col-wide Job Description: Data Engineer - Hybrid/Bristol … Up to £55, Job Title : Data Engineer Responsibilities : - Pipeline Development and Optimisation : Continuously assess and improve the performance of data enrichment pipelines, ensuring their efficiency, dependability, and scalability. - Data Management : Design and implement robust processes for data ingestion and cleaning, supporting machine learning and analytical models. - Collaborative Problem-Solving : Work closely with data scientists … Deployment : Assist in building, training, monitoring, and deploying cutting-edge machine learning models. - Stay Current with AI/ML Trends : Keep up to date with the latest advancements in data processing, AI, and ML, and incorporate them into our client's processes to improve efficiency. - Adaptable Approach : Collaborate across different functions as required, including taking on backend development tasks More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £63,000 per year. Pay is based on relevant experience, skills for the role, and … role will vary day to day, but here is a bit of what you can expect: Assisting in planning and carrying out risk model updates – continually looking to improve data and processes Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes Getting hands-on with data from … its source right through to modelling and then implementation in rating Analysing data, interpret output and communicate results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance model. Essential Skills We don't More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £63,000 per year. Pay is based on relevant experience, skills for the role, and … role will vary day to day, but here is a bit of what you can expect: Assisting in planning and carrying out risk model updates – continually looking to improve data and processes Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes Getting hands-on with data from … its source right through to modelling and then implementation in rating Analysing data, interpret output and communicate results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance model. Essential Skills We don't More ❯