TL;DR
Data Science Manager: Developing Data Science solutions that enhance decision making and customer experience with an accent on leading stakeholder engagement and simplifying technical concepts. Focus on identifying, sourcing, and engineering data for modeling, ensuring high quality and completeness.
Location: Hybrid in Hove, UK
Company
hirify.global (L&G) is a leading UK financial services group and major global investor safeguarding people’s financial futures since 1836.
What you will do
- Develop and deliver Data Science solutions that enhance decision making and customer experience.
- Lead stakeholder engagement, simplifying technical concepts and building trusted relationships.
- Identify, source, and engineer data to ensure quality, completeness, and readiness for modelling.
- Conduct exploratory data analysis and create repeatable, scalable data preparation patterns.
- Visualise insights and model outputs to a high standard using best‑practice data storytelling.
- Collaborate with multidisciplinary teams to automate and productionise Data Science solutions.
Requirements
- A degree in a quantitative field or equivalent relevant experience.
- Strong experience manipulating high‑volume datasets with excellent attention to detail.
- Solid understanding of Machine Learning techniques and explainable AI approaches.
- Proficiency in SQL and experience with programming languages such as Python or R.
- Hands‑on experience developing and deploying Machine Learning models in commercial or research settings.
- Ability to gather requirements, manage expectations and work effectively with a range of stakeholders.
Culture & Benefits
- Opportunity to participate in performance-related bonus plan and share schemes.
- Generous pension contribution and life assurance.
- Healthcare Plan for permanent employees.
- At least 25 days holiday, plus public holidays, increasing after 2 years’ service, with the option to buy and sell holiday.
- Competitive family leave and electric car scheme for permanent employees.
- Discounts for own products and at a range of high street stores and online.
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