Senior Data Scientist (hybrid or remote)

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. 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.

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, 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 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:

1. Uses best practices to develop statistical, machine learning techniques to build models that address business needs and improve the accuracy of our data and data-driven decisions.
2. Reviews, evaluates, and communicates the appropriateness of modeling techniques and results to team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.
3. Collaborates with the team to work on data and business problems to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
4. Identifies languages and tools that can bring efficiencies or needed techniques to the team.
5. 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 a classification of 2.1 or higher (or equivalent).

Supervisory Responsibilities:
There are supervisory responsibilities in this role.
Job Posting end date: Tuesday 4th March 2025 (11.59pm)
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Joining our team isn’t just a job – it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. Allstate empowers everyone to lead, drive change, and give back where they work and live.
Good Hands. Greater Together.
What we offer:
As Digital DNA’s Workplace of the Year 2020 & 2022 winners, we offer a generous benefits package that includes flexible annual leave entitlement, dental and healthcare insurance, an attractive pension package, and discounts on gym memberships, public transport, and parking.
Allstate invests heavily in your development; as an employee, you will have access to multiple world-class learning platforms and courses from our award-winning in-house Learning & Development team.
We pride ourselves on providing clear career paths and opportunities for internal mobility allowing you to further develop within the organisation.
We encourage a better work-life balance and you’ll have the opportunity to apply for various flexible working arrangements.

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 completes AccessNI background checks on all candidates offered a position. #J-18808-Ljbffr