
Full Stack Data Scientist (Hybrid)
- Belfast
- Permanent
- Full-time
- Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.
- Utilizes effective project planning techniques to break down complex machine learning/predictive modelling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept. Manages various analytical and modelling projects with small number of team members.
- Uses best practices to develop complex 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, communicates, and makes recommendation on appropriateness of modelling techniques and results to team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.
- Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modelling to solve business problems.
- Collaborates with outside business units and works on data and complex business problems to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
- Effectively understand the business' problems and requirements to identify the optimal modelling approach.
- Develops frameworks/prototypes that integrate data and machine learning/predictive modelling to make business decisions.
- All candidates must have the legal right to work in the UK. Allstate is unable to provide sponsorship for this position.
- A degree of any level in a quantitative field such as mathematics or computer science with classification of 2.1 or higher (or equivalent) and a Certification from a major Cloud provider
- 3+ years’ experience with modern data science tools and libraries (e.g., Python, R, SQL, TensorFlow, PyTorch) and using CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices
- Experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources.
- This job does not have supervisory duties.
- 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