Data Scientist

Data Scientist

Location:

Belfast, NI / Hybrid

(This role requires working in-office 3 days per week.)

Ever Quote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, Ever Quote is transforming the way providers attract and engage consumers to grow market share.

Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.

Ever Quote is seeking a Data Scientist to join our growing team! As a member of the Data Science team, you will be instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote’s long term success.

Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will join a team of talented and collaborative data scientists and machine learning engineers, and have the opportunity to establish yourself as a technical contributor as our team continues to grow.

• Bachelor's degree in a technical field such as mathematics, statistics, computer science, or economics, or equivalent practical experience; a Master's degree or PhD in a relevant field is a plus
• 2+ years of professional experience as a data scientist developing predictive models, preferably with experience deploying those solutions to production environments
• Demonstrated success turning business problems into data problems and developing innovative solutions
• Ability to explain results to technical and non-technical teammates, using strong communication and data visualization skills
• Demonstrated experience building machine learning models using standard tools such as scikit-learn or R, to drive business improvements
• Solid knowledge of applied mathematics and statistics and their common applications in online businesses

• Experience with, or strong interest in, understanding and optimizing online auctions for both bidders and sellers
• Experience with, or strong interest in, optimization using reinforcement learning and contextual multi-armed bandits
• Strong skills in statistical and scientific programming in Python or R, fluency in SQL, and proficiency with Jupyter notebooks
• Experience packaging code for deployment and reusability
• Enjoy sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders
• An interest in staying current with data science trends and helping the team expand its tech stack
• Comfortable working in an Agile team environment with everyday impact

The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.

In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role.

Your recruiter can provide more details about the specific salary/OTE range for your role during the hiring process.

Ever Quote NI is committed to ensuring equal opportunity for all job applicants and employees. We will not discriminate on the grounds of religious belief, political opinion, race, gender (including gender reassignment), sexual orientation, marital or civil partnership status, pregnancy or maternity, age, or disability.

As a registered employer in Northern Ireland, Ever Quote NI complies with the Fair Employment and Treatment (Northern Ireland) Order 1998. As part of…