Allstate
Data Scientist- Hybrid
Key aspects of the role:
- Drive sales growth by engaging with interested prospective customers- all while working remote
- No cold calling— Connect through inbound calls and proactive outbound calls with active insurance shoppers
- Enjoy competitive compensation with a base salary + uncapped performance-based incentives
- Sell reputable products from Allstate and our family of brands
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
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 the development and recommendation of new machine learning predictive modeling algorithms, the 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 and ultimately our decisions, and 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. This role is also accountable for informing the strategy of the department 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 to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems, including the ability to explain technical information clearly to non-technical partners.
- Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept. 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, including design teams and Casualty partners, to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Effectively understands business problems and requirements to identify the optimal modeling approach and build alignment within the department.
- 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, and develops data sources that can solve business problems.
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.
Posting date: Friday 24th July 2026 [11.59pm]
#LI-SE1
#LI-Hybrid
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
Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture
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, and we’ve been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey.
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. Whether you’re deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive.
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Sales
What We Do:
As an expert on our products and services, you can give customers personalized attention and innovative solutions to make their lives easier.
How We Support You:
Starting day one, you’ll have access to resources and incentives to keep you feeling challenged and excited about your careers.
Make An Impact:
As a member of our sales team, you’ll bring a sense of ease and support to customers looking for a better understanding of their protection options. Whether in the field or talking to customers over the phone, you’ll continue to build trust in who we are and what we do.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
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 the development and recommendation of new machine learning predictive modeling algorithms, the 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 and ultimately our decisions, and 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. This role is also accountable for informing the strategy of the department 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 to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems, including the ability to explain technical information clearly to non-technical partners.
- Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept. 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, including design teams and Casualty partners, to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Effectively understands business problems and requirements to identify the optimal modeling approach and build alignment within the department.
- 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, and develops data sources that can solve business problems.
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.
Posting date: Friday 24th July 2026 [11.59pm]
#LI-SE1
#LI-Hybrid
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
Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture
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, and we’ve been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey.
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. Whether you’re deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive.
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Claims
What We Do:
Your ability to quickly and calmly make smart decisions can make a huge difference in how confident customers feel throughout the claims process. And as you support our customers, we’re there to support you.
How We Support You:
We empower your success starting day one. You’ll have access to everything you need to grow professionally while helping our customers get their lives back on track.
Make An Impact:
Helping customers with their claims is about learning their stories, not just processing their paperwork. You can take pride in the fact that you’re providing invaluable guidance and helping to build continued trust in our company.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
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 the development and recommendation of new machine learning predictive modeling algorithms, the 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 and ultimately our decisions, and 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. This role is also accountable for informing the strategy of the department 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 to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems, including the ability to explain technical information clearly to non-technical partners.
- Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept. 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, including design teams and Casualty partners, to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Effectively understands business problems and requirements to identify the optimal modeling approach and build alignment within the department.
- 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, and develops data sources that can solve business problems.
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.
Posting date: Friday 24th July 2026 [11.59pm]
#LI-SE1
#LI-Hybrid
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
Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture
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, and we’ve been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey.
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. Whether you’re deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive.
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Benefits
Experience the benefits that make Allstate a great place to work.
*Benefits vary based on position.
Health
- Medical, dental and vision coverage
- HSAs and FSAs
- Wellbeing programs
- Free therapy sessions
Retirement
- 401(k) plan
- Pension plan
- Free financial counseling
Work-life balance
- Paid time off
- Work flexibility
Career development
- Talent shares
- Tuition reimbursement
- Learning opportunities
For a full description of Allstate’s benefits visit our benefits page
Start making a difference
Realize your full potential by doing
work that matters.
Grow your career in meaningful ways.
We want to make sure you have every opportunity to grow, explore new horizons and follow your passion in a meaningful career. It’s an exciting time to join Allstate. Help us shape the future.
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New Agent Leader- EA Channel
February 2026 – Present
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Property Delivery Director
2023 – Present/Remote
Bree / 11 years with Allstate
Unrepresented Bodily Injury Adjuster
December 2022 – Present
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