At a Glance
- Tasks: Support AI solutions development and collaborate on data-driven projects.
- Company: Join Allstate, a leader in innovative risk management for over 90 years.
- Benefits: Flexible benefits, healthcare, learning platforms, and clear career paths.
- Why this job: Make an impact with AI while gaining hands-on experience in a supportive environment.
- Qualifications: 3+ years of Python experience and familiarity with modern data science tools.
- Other info: Embrace a people-first culture with flexible working options.
The predicted salary is between 50000 - 60000 ÂŁ 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:
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:
- Learn and apply LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems.
- Assist in exploring new data sources, research, and models under direction from senior team members.
- Support project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines.
- Execute analytical and modeling tasks as part of a larger project team.
- Apply standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
- Review and discuss AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
- Contribute to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
- Work with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
- Assist 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 of 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.
Benefits:
- 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.
Statement on Fair Employment and Equal Opportunities:
Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under‑represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.
Data Scientist - Agentic AI (Hybrid) in Belfast employer: Allstate
Contact Detail:
Allstate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Agentic AI (Hybrid) in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at Allstate on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Scientist role.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and familiarising yourself with AI concepts. Be ready to discuss your past projects and how you’ve used data to solve real-world problems.
✨Tip Number 3
Showcase your passion for AI and data science during interviews. Share your thoughts on emerging trends and how you can contribute to Allstate’s innovative drive in AI risk and governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Allstate team.
We think you need these skills to ace Data Scientist - Agentic AI (Hybrid) in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your hands-on experience with Python, machine learning, and any relevant projects you've worked on. We want to see how you can contribute to our innovative drive!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data science, and how your background makes you a great fit for Allstate. Don’t forget to mention your interest in risk management or AI governance if applicable!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or during your studies, make sure to include them. Describe your role, the tools you used, and the impact of your work. This helps us see your practical experience in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Allstate!
How to prepare for a job interview at Allstate
✨Know Your Tools
Make sure you’re familiar with the programming languages and tools mentioned in the job description, especially Python, R, SQL, TensorFlow, and PyTorch. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Understand AI Concepts
Since the role involves AI agent development, take some time to learn about frameworks like Azure AF or AWS Strands. Being able to talk about your interest or any experience with these technologies will show your enthusiasm and readiness for the role.
✨Prepare for Collaboration
This position requires teamwork, so think of examples where you’ve successfully collaborated on projects. Be ready to discuss how you communicate findings and incorporate feedback from peers, as this is crucial for success in a team environment.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific business problems you've solved using data analysis and machine learning techniques. Highlight your ability to break down complex tasks into manageable subtasks and how you track progress to meet deadlines.