
Senior Data Scientist (hybrid)
- Belfast
- Permanent
- Full-time
- Uses best practices to develop statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
- Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.
- Collaborates with the team and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach.
- Identifies languages and tools that can bring efficiencies or needed techniques to the team
- Utilizes effective project planning techniques to break down moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
- All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
- 3+ years’ experience in a related field working with data science techniques such as GBMs, ensemble forests, GLMs, deep learning or graph mining in industry or postgraduate experience.
- Proven experience leading & managing analytical or data science-based projects
- Proven experience implementing data science solutions into production systems
- A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent).
- A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts
- Access to world-class learning platforms and award-winning L&D
- Clear career paths, internal mobility, and a strong focus on growth
- A people-first culture with flexible working options