At a Glance
- Tasks: Lead data-driven decisions using predictive modelling and machine learning to support the Casualty business.
- Company: Join Allstate, a leader in innovation and a great place to work.
- Benefits: Enjoy flexible working, competitive pay, and a focus on your career growth.
- Other info: Be part of a socially responsible organisation that values your growth and impact.
- Why this job: Shape the future of insurance with cutting-edge tech and a people-first culture.
- Qualifications: 4+ years in data science, experience with Python, SQL, or R, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
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 and business results.
- 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.
- Identifies and develops solutions that use new areas of data, research and models.
Essential Skills:
- 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.
- 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.
Skills:
- Artificial Intelligence Markup Language
- Business Data Analytics
- Business Model Development
- Data Analysis
- Data Analytics
- Data-Driven Decision Making
- Data Science
- Machine Learning (ML)
- Machine Learning Algorithms
- Mathematics
- Predictive Modeling
- Strategic Management
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 (100+ employees) and Best Use of Cloud Services at the Belfast Telegraph IT Awards.
What do you get in return?
- 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.
Data Scientist- Hybrid employer: Harper Adams University
Harper Adams University is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of data science. With a commitment to employee growth, the university provides ample opportunities for professional development while promoting a healthy work-life balance through its hybrid working model. Located in the UK, employees benefit from a supportive environment that values their contributions and encourages meaningful engagement in impactful projects.
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