EverQuote
Data Scientist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist
Location: Belfast, NI / Hybrid
(This role requires working in-office 3 days per week.)
About Us
EverQuote 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, EverQuote 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.
About the Role
EverQuote 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.
What You’ll Do
- Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning.
- Join a team of talented and collaborative data scientists and machine learning engineers.
- Establish yourself as a technical contributor as our team continues to grow.
What You Bring to the Team
- 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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Nice to Have
- 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.
Compensation
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Statement on Fair Employment and Equal Opportunities
EverQuote 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, EverQuote NI complies with the Fair Employment and Treatment (Northern Ireland) Order 1998. As part of the application process, you will be asked to complete a fair employment monitoring form; this information is used solely for monitoring purposes and does not form part of the shortlisting or selection decision.
EverQuote NI carries out background checks on all candidates offered a position. A criminal record will not automatically disqualify you from working with EverQuote NI Limited; each case is considered on its individual merits in line with our fair recruitment practices.
Reasonable Adjustments
We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any reasonable adjustments or accommodations at any stage of the interview process, please let us know and we will work with you to arrange them.
For more information, visit https://investors.everquote.com and follow on LinkedIn.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills