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.
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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 the use and development of data infrastructure projects & proof of concept business solutions for users in analytics and Data Science. This person works directly with data scientists and analytic engineers on needs and tactical solutions. This role will execute new data engineering work tracks for Data Science and analytics from inception and prototyping to fully developed solutions. This role will also manage projects of medium complexity.
Key responsibilities:
- Work closely with Data Science and business partners requiring subject matter expertise in the business as well as advanced analytics.
- Participates in developing test plans and scripts, preparation of test data, reconciliation of data sources, and execution of functional tests.
- Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision
- Collaborate with other engineers to create reliable purpose built solutions, for a variety of different customers and topics.
- Leverage data analysis and technical fluency in parallel processing/programming, software/programming languages and technologies (i.e. Oracle, MongoDB, SQL, Python, Spark, Kafka, Scala and Hadoop) to meet business needs
- Employ a high degree of analytic agility to be able to meet fluid and dynamic business needs
- Provide support on requirement development for analytic data sources, breaking down business problems into solvable components and assist with documenting requirements with minimal supervision.
- Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints
- Builds test scripts, executes testing, works with data scientists and business to ensure end user acceptance
Additional Responsibilities for mid-senior level:
- Provide technical leadership to a cross-functional team to implement analytic solutions that address business challenges across a variety of business units
- Coach and inspire a team of high-performing data engineers
- Participate in requirement development, breaking down business problems into solvable components and assists in documenting requirements
- Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints
- Provide input on the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data. Participate in supporting the data engineering environment, and execute monitoring, quality and validation processes to ensure data accuracy.
- Execute data exploration, data engineering, testing and implementation.
- Participate in and help execute the development of new concepts, proof of concept designs, and prototypes for business or research data solutions so that business users or predictive modelers may visually understand and explore a new feature or functionality before implementation to expose design assumptions and drive ideation.
- Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.
- Participate in the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data.
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.
- Achieved a First class/Distinction or equivalent Master's degree ( in a highly quantitative field such as mathematics, physics or computer science OR A quantitative PhD OR 2.1 degree classification in relevant MSc or BSc with one years relevant experience
Additional Criteria for mid-senior level
- 3+ years' experience in a related field developing sophisticated big data pipelines in support of machine learning and advance analytics in industry or postgraduate experience.
- Experience leading technical projects.
Desirable Skills:
- Distributed computing or big data frameworks such as Spark, Mesos, Hadoop, AWS, Scality, etc.
- Programming in Python, R, Scala, Java, C/C++, etc.
- Ability to learn new technical skills and methods
- Working with structured relational databases and writing queries (e.g. SQL), nested data structures, stream processed data, or unstructured data
- Machine learning or statistics to solve real-world problems
- Conducting data analytics and root cause analysis to answer business questions and identify opportunities for improvement
- Leading & managing teams of technical individuals
Previous applicants in the last 12 months need not apply.
Supervisory Responsibilities:
This job does will have supervisory duties at senior level
Job Posting End Date: Monday 3rd 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. And with the recognition of several inclusivity and diversity awards, we've proven that 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 in 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 complete AccessNI background checks on all candidates offered a position.
Posting End Date:
01 April 2025