

Experis UK
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist/Engineer, lasting 5 months, with a pay rate of £560 per day. It requires strong Python and PySpark skills, experience in exploratory data analysis, and familiarity with NHS data platforms. Remote work with occasional on-site presence in London.
🌎 - Country
United States
💱 - Currency
£ GBP
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💰 - Day rate
560
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🗓️ - Date
June 12, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#PySpark #Data Integrity #BI (Business Intelligence) #Data Pipeline #Programming #Data Analysis #Databricks #Redshift #Scala #Spark (Apache Spark) #Data Science #Agile #Datasets #Data Engineering #DevSecOps #Python #Data Quality
Role description
Role: Data Scientist / Engineer
Location: Remote / London - up to 1 day per week on-site
Duration: 5 Months
Day rate: £560 Inside IR35
Role Overview
We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products.
You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions.
Key Responsibilities
• Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs
• Define data requirements and determine appropriate dashboard content
• Identify and mitigate data quality risks and ensure data integrity
• Design, build, and maintain reusable data pipelines and datasets using Python and PySpark
• Develop and test datasets used in BI dashboards and reporting products
• Work with stakeholders to translate business needs into data solutions and insights
• Collaborate within an Agile delivery team, contributing to sprints, stand-ups, and planning sessions
• Apply modern engineering best practices including CI/CD, TDD, and DevSecOps
• Engage in pair programming and adhere to collaborative coding standards
Essential Skills & Experience
• Strong hands-on experience with Python and PySpark
• Solid background in exploratory data analysis and data modelling
• Experience with Palantir platforms, ideally including the NHS Federated Data Platform (FDP)
• Proficiency with BI and data platforms such as Redshift, Databricks, or similar
• Experience building and validating datasets for dashboards and reporting
• Strong understanding of data pipelines, data quality, and governance principles
• Proven ability to work independently in Agile environments
• Experience collaborating with multidisciplinary teams, including UCD professionals
• Excellent communication and stakeholder management skills
• Familiarity with DevSecOps, CI/CD, and TDD practices
• Experience with pair programming and collaborative development approaches
Desirable Skills
• Experience working within the NHS or wider public sector
• Familiarity with screening programmes or clinical data systems
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Role: Data Scientist / Engineer
Location: Remote / London - up to 1 day per week on-site
Duration: 5 Months
Day rate: £560 Inside IR35
Role Overview
We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products.
You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions.
Key Responsibilities
• Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs
• Define data requirements and determine appropriate dashboard content
• Identify and mitigate data quality risks and ensure data integrity
• Design, build, and maintain reusable data pipelines and datasets using Python and PySpark
• Develop and test datasets used in BI dashboards and reporting products
• Work with stakeholders to translate business needs into data solutions and insights
• Collaborate within an Agile delivery team, contributing to sprints, stand-ups, and planning sessions
• Apply modern engineering best practices including CI/CD, TDD, and DevSecOps
• Engage in pair programming and adhere to collaborative coding standards
Essential Skills & Experience
• Strong hands-on experience with Python and PySpark
• Solid background in exploratory data analysis and data modelling
• Experience with Palantir platforms, ideally including the NHS Federated Data Platform (FDP)
• Proficiency with BI and data platforms such as Redshift, Databricks, or similar
• Experience building and validating datasets for dashboards and reporting
• Strong understanding of data pipelines, data quality, and governance principles
• Proven ability to work independently in Agile environments
• Experience collaborating with multidisciplinary teams, including UCD professionals
• Excellent communication and stakeholder management skills
• Familiarity with DevSecOps, CI/CD, and TDD practices
• Experience with pair programming and collaborative development approaches
Desirable Skills
• Experience working within the NHS or wider public sector
• Familiarity with screening programmes or clinical data systems
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.




