(WH495) Senior Data Scientist

Who we are At CoverWallet we are determined to revolutionize the insurance industry! We launched in 2015 and since then we are

the leading digital platform for contracting insurance

for small and medium-sized companies. Thanks to state-of-the-art technology and meticulous design we have turned insurance management and processing into a simple, fast and convenient process for our clients. All online, in minutes!

Our passion is in delivering innovation and value creation through technology, and our mission is to become

the world’s leading InsurTech . For this, we have built an incredible

team of ~800 people

based in New York, Spain, Poland and Singapore. Success is guaranteed as we are part of

Aon ,

the global leaders in risk, retirement and health solutions with 50,000 colleagues worldwide. We combine the mindset and culture of a high-growth startup with the backing and support of a global multinational. The best of both worlds in one company - what more could we ask for?

What you will do We are seeking a seasoned and strategic

Senior Data Scientist

to join our high-impact Data Science team. This is a leadership-oriented role where you’ll guide data initiatives that influence key decisions across product, sales, marketing, operations, and customer experience. You will partner with stakeholders to drive innovation through advanced analytics, predictive modeling, and machine learning solutions—turning complex data into real business outcomes at scale. If you thrive in dynamic environments, love mentoring others, and have a strong technical and strategic mindset, we want to hear from you.

A typical day Lead the development and deployment of scalable machine learning solutions and advanced analytics for high-impact use cases. Act as a thought partner to senior business leaders,

identifying opportunities to leverage data science for strategic initiatives. Drive the design, implementation, and evaluation of experimentation frameworks, including A / B testing and causal inference. Own and refine production-grade scoring models, recommendation systems, and automation tools. Mentor and provide technical leadership to mid-level and junior data scientists. Oversee the full lifecycle of data science projects—from ideation to deployment and monitoring. Champion best practices in model development, testing, and ML Ops pipelines. Proactively collaborate with cross-functional teams including data engineering, product, and operations to ensure robust and scalable solutions. Serve as a subject matter expert in external engagements or cross-team collaborations. Evaluate and introduce new technologies, methodologies,

and tools that push the boundaries of what’s possible. Translate complex data findings into clear, compelling business narratives for technical and non-technical stakeholders.

What you need to succeed MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field. 5+ years of experience in data science roles, preferably with team leadership or strategic project ownership. Excellent communication and stakeholder management skills, with a strong ability to influence and drive decisions. Proven experience leading end-to-end data science projects with measurable business outcomes. Advanced expertise in Python. Strong proficiency in SQL and data wrangling at scale. Deep understanding of statistical modeling, machine learning, and experimentation. Experience working in cloud environments (Google Cloud, AWS,

or Azure), including infrastructure and deployment. Solid grasp of software engineering best practices (version control, testing, CI / CD). Experience with Docker, containerization, and orchestration tools. Strong track record of mentoring and coaching team members. Hands-on experience with Large Language Models (LLMs), including integration and fine-tuning. Practical knowledge of MLOps frameworks and practices (e.g., model monitoring, CI / CD for ML). Experience building and deploying APIs for machine learning applications.

Bonus Points For Experience with Apache Airflow for orchestrating data and ML pipelines. Familiarity with Model Context Protocol (MCP). Knowledge of Agentic AI architectures.

About the recruitment process Your first contact with CoverWallet will be through an

HR interview

with one of our colleagues from the Talent Acquisition area, who will tell you everything about our company and its history, as well as the details of the position, functions and your future conditions. We would love to know your professional and academic career, and of course, your motivations and expectations for a new professional project. We will be happy to answer all your questions! Do we have a match? Let’s move on to your

First Technical Interview ! You will meet two of the colleagues from the Data Science team, who will explain to you in more detail what the team's day-to-day life is and its responsibilities. They will be very interested in expanding information about your experience as a Data Scientist as well as your knowledge of our main technological environments. If everything has gone well and you have impressed our colleagues...

we advance to the

second stage of the process ! We will send you a data challenge based on a case study to find out your technical level and you will have a maximum of 7 days to complete it. If you've made it this far, things are getting interesting... It's time for your

Final Interview ! In this case, you will have the opportunity to meet one of our Heads of Data and Engineering, who will close the selection process with an interview aimed at getting to know you not only on a professional and technical level, but also on a personal level, so that both of you can reach the conclusion of whether the purpose of our project fits with your professional aspirations.

Why CoverWallet At CoverWallet you will have the opportunity to be a key player in the transformation of one of the largest industries and in one of the most developed digital markets in the world. You will work in a cutting-edge tech environment, alongside a super powerful and diverse global team. Join us and build your own

career plan

in one of the world's leading companies, tailored to your dreams and aspirations! And just for good measure...

Competitive salary

based on your background and experience, and a

variable annual bonus

set according to your goals Enjoy

flexible working hours

and find out your ideal way of working thanks to our

smart work model : full remote or hybrid, it’s up to you! Perks package

consisting of a Company-paid Life, Accident Insurance and Medical Cover with free dental care. Complement your benefits with our

flexible compensation plan

(tickets restaurant, transport card, daycare checks, external training and even a Pension Scheme!)

Carry on with your training thanks to your additional

budget of 1,500€

per year to finance training courses, certifications, books or any teaching aids that will help you continue to grow professionally Enjoy a lot of offers and save on your purchases thanks to our

discount platform (BigPocket)

on your favorite brands (travel, fashion, technology, leisure...) 23 paid vacation days per year , plus 2 additional personal days and 2 wellbeing days to focus on your own health and prioritize self-care : ) Great offices

in Madrid, Valencia and Sevilla. Come and enjoy all the activities we do, both inside and outside the office (hackathons, meetups, tech talks, code katas and much more!)

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