Data Science Engineer (208563)
Job Title: Data Science Engineer
Client Location: Reading - hybrid
Starting: ASAP
Pay Comments: PAYE
Maximum Pay (per hour): £56.00
Hours: 35-hour week
Duration: until 30/10/2026
Job Description:
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 summarising complex data is essential
• Experience with Python
• Experience with Databricks 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
*This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually. Thank you for taking the time to apply.
Client Description:
A multinational cloud-based software company specialising in a series of products designed to drive creative innovation across multimedia. Used by millions around the world for personal and professional use across all industries.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.