Allstate
Data Scientist – Agentic AI (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
As a Data Scientist in Allstate’s AI Risk, Governance and Research area, you’ll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle—from data collection and exploratory analysis to model/agent development, deployment, and monitoring.
You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments.
You’ll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents.
As a team member, you’ll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization.
Key Responsibilities
-
Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members.
-
Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team.
-
Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
-
Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
-
Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
-
Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
-
Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes.
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 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch).
-
Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals.
-
Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK).
Desirable Skills:
-
Interest in or exposure to risk management or AI governance concepts.
-
Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on‑the‑job experience.
-
Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources.
-
Familiarity with building no-code/low-code agents using M365.
-
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).
Supervisory Responsibilities:
-
This job does not have supervisory duties.
Posting date: Friday 12th June 2026 {11.59pm}
Skills
AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model
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
As a Data Scientist in Allstate’s AI Risk, Governance and Research area, you’ll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle—from data collection and exploratory analysis to model/agent development, deployment, and monitoring.
You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments.
You’ll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents.
As a team member, you’ll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization.
Key Responsibilities
-
Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members.
-
Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team.
-
Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
-
Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
-
Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
-
Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
-
Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes.
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 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch).
-
Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals.
-
Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK).
Desirable Skills:
-
Interest in or exposure to risk management or AI governance concepts.
-
Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on‑the‑job experience.
-
Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources.
-
Familiarity with building no-code/low-code agents using M365.
-
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).
Supervisory Responsibilities:
-
This job does not have supervisory duties.
Posting date: Friday 12th June 2026 {11.59pm}
Skills
AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model
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
As a Data Scientist in Allstate’s AI Risk, Governance and Research area, you’ll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle—from data collection and exploratory analysis to model/agent development, deployment, and monitoring.
You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments.
You’ll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents.
As a team member, you’ll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization.
Key Responsibilities
-
Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members.
-
Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team.
-
Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
-
Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
-
Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
-
Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
-
Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes.
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 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch).
-
Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals.
-
Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK).
Desirable Skills:
-
Interest in or exposure to risk management or AI governance concepts.
-
Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on‑the‑job experience.
-
Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources.
-
Familiarity with building no-code/low-code agents using M365.
-
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).
Supervisory Responsibilities:
-
This job does not have supervisory duties.
Posting date: Friday 12th June 2026 {11.59pm}
Skills
AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model
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.
Similar opportunities
Can’t find what you’re looking for?
Eric G.
Associate counsel, Innovation Law
Our leaders understand that the world is changing fast and people need to adapt and learn new skills. Allstate is committed to helping employees continuously develop and grow.
Kelly
Cloud Engineer
Dana T.
Senior Product Consultant
Paul D.
Software Engineer
I’m proud of building Allstate’s first Bilingual Unlicensed Service team during my first assignment as a leader. It’s an exciting opportunity for our employees and to better serve our Spanish-speaking customers.
Xiomara
Employee Engagement Leader
Joe W.
Commercial Senior Claims Service Adjuster
Brooke T
Property Senior Claims Adjuster
Everyone is encouraged to volunteer and give back however they can throughout the year. I enjoy giving back to the community and supporting the causes that are meaningful to me.
Lisa
Senior Lead Internal Auditor
