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- Tasks: Lead data-driven decisions using machine learning and predictive modelling to solve complex business problems.
- Company: Join Allstate, a leader in innovative insurance solutions with over 90 years of experience.
- Benefits: Enjoy flexible working options, generous benefits, and access to world-class learning platforms.
- Why this job: Be part of a diverse team that values your input and drives meaningful change in the industry.
- Qualifications: 3+ years in data science; degree in a quantitative field preferred.
- Other info: Supervisory responsibilities included; applications from women are particularly encouraged.
The predicted salary is between 48000 - 72000 £ per year.
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
Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers.
We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs.
This role is responsible for leading the use of data to make decisions. This includes: the development and execution 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 business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity.
Key responsibilities:
- Uses best practices to develop statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
- Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.
- Collaborates with the team and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach.
- Identifies languages and tools that can bring efficiencies or needed techniques to the team
- Utilizes effective project planning techniques to break down moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
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.
- 3+ years’ experience in a related field working with data science techniques such as GBMs, ensemble forests, GLMs, deep learning or graph mining in industry or postgraduate experience.
- Experience leading technical projects.
Desirable Skills:
- Proven experience leading & managing analytical or data science-based projects
- Proven experience implementing data science solutions into production systems
- Proven experience leading & managing teams of technical individuals
- 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).
Previous applicants in the last 12 months need not apply.
Supervisory Responsibilities:
There are supervisory responsibilities in this role.
Job posting end date: Friday 25th July 2025 [11.59pm]
#LI-SE1
#LI-Hybrid
Why join us?
Allstate NI is proud to be Allstate’s European Digital Centre of Excellence—recent winners of ‘Best Use of Cloud Services’ at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility.
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 offer:
• 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
Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.
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.
Posting End Date:
24 May 2025 #J-18808-Ljbffr
Senior Data Scientist (hybrid) employer: Allstate Insurance Company
Contact Detail:
Allstate Insurance Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (hybrid)
✨Tip Number 1
Familiarise yourself with the latest machine learning techniques and tools mentioned in the job description, such as GBMs and deep learning. Being able to discuss these in detail during your interview will show your expertise and enthusiasm for the role.
✨Tip Number 2
Network with current or former employees of Allstate, especially those in the Data, Discovery, and Decision Science team. They can provide valuable insights into the company culture and the specific challenges faced in the role, which you can reference in your discussions.
✨Tip Number 3
Prepare examples of past projects where you've successfully implemented data science solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills and leadership experience.
✨Tip Number 4
Showcase your ability to communicate complex data findings to non-technical stakeholders. Practice explaining your previous work in simple terms, as effective communication is key to influencing business decisions and will be a crucial part of your role at Allstate.
We think you need these skills to ace Senior Data Scientist (hybrid)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Scientist position. Tailor your application to highlight how your experience aligns with the key responsibilities mentioned in the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data science techniques such as GBMs, ensemble forests, and deep learning. Provide specific examples of projects you've led or contributed to that demonstrate your ability to solve complex business problems using machine learning.
Showcase Communication Skills: Since the role involves communicating technical results to stakeholders, include examples in your application that showcase your ability to explain complex concepts clearly. Mention any experience you have in developing communication strategies or presenting findings to non-technical audiences.
Tailor Your Application: Make sure to customise your CV and cover letter for Allstate. Use keywords from the job description and reflect the company’s values, such as inclusivity and innovation, in your application to show that you are a good fit for their culture.
How to prepare for a job interview at Allstate Insurance Company
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your expertise in machine learning techniques and statistical methods. Be prepared to discuss specific projects where you've successfully implemented algorithms like GBMs or deep learning, and how they impacted business decisions.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex data science concepts in simple terms, as you'll need to convey your findings to stakeholders who may not have a technical background. Think about how you can influence their understanding and decision-making.
✨Understand the Business Context
Before the interview, research Allstate's mission and values. Be ready to discuss how your work can align with their goals of protecting families and improving customer experiences through data-driven decisions. This shows that you're not just a tech expert but also a strategic thinker.
✨Prepare for Project Management Questions
Since this role involves managing projects, be ready to talk about your experience in leading technical projects. Highlight your project planning techniques and how you've broken down complex tasks to meet deadlines, ensuring that you can handle the responsibilities of the position.
