At a Glance
- Tasks: Lead data-driven decisions using predictive modelling and machine learning to support the Casualty business.
- Company: Join Allstate, a leader in innovation and a great workplace culture.
- Benefits: Enjoy competitive salary, hybrid work, health insurance, and continuous learning opportunities.
- Other info: Be part of a socially responsible organisation that values your growth and career development.
- Why this job: Make a real impact in the insurance industry with cutting-edge technology and a supportive team.
- Qualifications: 4+ years in data science, proficiency in Python, SQL, or R, and strong communication skills.
The predicted salary is between 60000 - 80000 £ 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:
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:
- Development and recommendation 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.
- 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 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.
- Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of machine learning/predictive modeling.
- Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks.
- 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 to improve the effectiveness of business decisions through designing, building, and partnering to implement machine learning/predictive models.
- 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.
- 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.
Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture. Allstate NI is proud to be Allstate’s European Digital Centre of Excellence, a hub for innovation and engineering excellence.
What do you get in return?
- 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.
Data Scientist- Hybrid employer: Allstate Insurance Company
At Allstate, we pride ourselves on fostering a collaborative and innovative work environment where our employees are empowered to make a meaningful impact. As a Product Engineer Lead Consultant, you will benefit from flexible working options, a corporate bonus scheme, and opportunities for professional growth through mentoring and coaching. Our commitment to employee well-being is reflected in our comprehensive benefits package, including private medical insurance and paid volunteering days, making Allstate an exceptional place to advance your career while contributing to important risk management solutions.
Contact Details:
Allstate Insurance Company Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist- Hybrid
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Allstate Insurance Company!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist- Hybrid at Allstate Insurance Company.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Allstate Insurance Company.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist- Hybrid at Allstate Insurance Company, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist- Hybrid
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Allstate Insurance Company, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Allstate Insurance Company. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Allstate Insurance Company
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Allstate Insurance Company!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
