Data Scientist- Hybrid

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. For more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs.

Your role in the team

This role is responsible for leading the use of data to make decisions, with a focus on supporting the Casualty business through predictive modeling and machine learning solutions. This includes:

• Development and recommendation of new machine learning predictive modeling algorithms.
• Coding/development of tools that use machine learning/predictive modeling to make business decisions.
• Searching for and integrating new data, both internal and external, that improves our modeling and machine learning results.
• Discovery of new business problems that can be solved through the use of machine learning/predictive modeling.

The role is responsible for assisting in the mentorship and development of junior data scientists and will begin to manage complex projects as an individual contributor.

Key responsibilities:

• Uses best practices to develop complex statistical and machine learning techniques to build models that address business needs, including Casualty-related outcomes such as claim severity, disputes, settlement strategy, and operational efficiency.
• Reviews, evaluates, communicates and makes recommendations on the appropriateness of modeling techniques and results to the team, leadership and stakeholders.
• Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of machine learning/predictive modeling.
• Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks.
• Manages analytical and modeling projects with a small number of team members and is expected to work independently with customers after initial onboarding.
• Supports, mentors, and coaches junior data scientists and team members as needed.
• Collaborates with and influences business units to improve the effectiveness of business decisions through designing, building, and implementing machine learning/predictive models.
• Identifies languages and tools that can bring efficiencies or needed techniques to the team, including Python, SQL, R, and preferred exposure to AWS or Azure cloud environments.

Essential Skills:

• A minimum of 4 years of data science, machine learning, predictive modeling, and/or querying data experience.
• Hands-on experience with Python, SQL, and/or R.
• Experience building or applying machine learning/predictive models to solve business problems.
• Ability to query data and work with databases/data sources.
• Ability to explain technical information clearly to non-technical stakeholders.
• Ability to work independently with customers after initial onboarding.

Desirable Skills:

• Master’s Degree in a highly quantitative field such as mathematics, physics or computer science.
• Experience working in the insurance industry.

Supervisory Responsibilities:

This job does not have supervisory duties.

Why join us?

Allstate NI is proud to be Allstate’s European Digital Centre of Excellence, a hub for innovation and engineering excellence. We’re recent winners of Best Place to Work in IT and Best Use of Cloud Services at the Belfast Telegraph IT Awards.

We’re a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.

We also invest in you. At Allstate NI, your career growth matters. You’ll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities.

What do you get in return?

As well as receiving a competitive annual salary, our reward package includes:

• Corporate bonus scheme
• Pension scheme
• Annual performance-related pay reviews
• Life assurance and income protection
• Flexible working options
• Hybrid working
• Private medical and dental insurance
• Access to an employee assistance programme
• Discounted gym membership
• Two paid volunteering days each year
• Cycle to work scheme

Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.