

eTeam
Data Science Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Engineer in Reading (Hybrid – 3 days onsite) for a 6-month contract at a pay rate of "unknown." Key skills include 5+ years of SQL, experience with Databricks and Python, and expertise in revenue-generating data models.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
Reading, England, United Kingdom
-
🧠 - Skills detailed
#Strategy #Clustering #Python #Databricks #Data Engineering #Customer Segmentation #Forecasting #Scala #Data Science #Data Pipeline #Business Analysis #SQL (Structured Query Language)
Role description
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Job Title: Data Science Engineer
Location: Reading (Hybrid – 3 days per week onsite)
Duration: 6 months contract initially
The Opportunity:
• The Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities.
• You will work with senior stakeholders and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities.
What You Will Do:
• Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments
• Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change
• Engage with senior stakeholders to understand key growth areas and ensure solutions align with business priorities
• Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements
• Support the customer segmentation process using rSAM and other insights
• Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting
• Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value
• Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions
• Automate model refreshes and account prioritization processes
• Build propensity models to drive sales campaigns using predictive modelling techniques.
What You Will Bring:
• 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential
• Experience with Databricks and Python is desirable
• Proven experience of building, testing, evaluating, and improving revenue-generating data science models
• Knowledge of propensity modeling techniques and other modeling techniques would be beneficial
• Proven experience translating complex analytics into understandable insights for senior collaborators is essential
• Strong problem-solving skills and experience in a fast-paced business environment with changing requirements.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Job Title: Data Science Engineer
Location: Reading (Hybrid – 3 days per week onsite)
Duration: 6 months contract initially
The Opportunity:
• The Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities.
• You will work with senior stakeholders and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities.
What You Will Do:
• Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments
• Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change
• Engage with senior stakeholders to understand key growth areas and ensure solutions align with business priorities
• Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements
• Support the customer segmentation process using rSAM and other insights
• Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting
• Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value
• Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions
• Automate model refreshes and account prioritization processes
• Build propensity models to drive sales campaigns using predictive modelling techniques.
What You Will Bring:
• 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential
• Experience with Databricks and Python is desirable
• Proven experience of building, testing, evaluating, and improving revenue-generating data science models
• Knowledge of propensity modeling techniques and other modeling techniques would be beneficial
• Proven experience translating complex analytics into understandable insights for senior collaborators is essential
• Strong problem-solving skills and experience in a fast-paced business environment with changing requirements.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.






