About the role

You will collaborate with a cross-functional team to convert complex business problems into scalable AI and machine learning solutions. Your role involves developing, deploying, and maintaining predictive models to drive long-term business success.

What they look for

Data Science Machine Learning Artificial Intelligence Python R SQL Statistics Applied Mathematics Predictive Modeling Data Visualization Scikit-learn Jupyter Notebooks Agile Reinforcement Learning Communication

Requirements

Candidates must have a bachelor's degree in a technical field and at least 2 years of professional experience in data science. Proficiency in machine learning tools, applied mathematics, and strong communication skills are essential for this position.

Benefits

Health benefits Welfare benefits Wellbeing benefits Variable cash bonus programs Equity

Full description

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. 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.

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

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

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.

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.