Senior Data Scientist

As a Senior Data Scientist, you will play a critical role in driving our applied AI/ML strategy to optimize our commercial lines insurance operations. Your expertise in statistical modeling, predictive analytics, machine learning, and data mining will be essential to identify patterns, extract insights, and develop innovative solutions that enhance our underwriting, pricing, and risk management processes. By leveraging advanced data analysis techniques, you will contribute to maintaining our low loss ratios, improving efficiency of our sales, underwriting, and client servicing operations, and delivering value to our clients, employees, and investors.This role can be based anywhere as long as you can work our Devopsbay core collaboration hours (8:30 am-2:30 pm Pacific Time.)

Must have skills

Strong expertise in statistical modeling, predictive analytics, machine learning, and data mining techniques.

Proficiency in programming languages such as Python, as well as experience with data manipulation and visualization libraries.

Excellent problem-solving skills, with the ability to analyze complex datasets and derive meaningful insights.

Strong communication and collaboration abilities, with the capability to present technical concepts to both technical and non-technical stakeholders.

Leadership qualities and the ability to guide and mentor junior team members and more senior stakeholders and peers.

Your responsibilities

Lead the development and implementation of data-driven solutions that improve our underwriting processes, pricing models, risk assessment, and client experience strategies.Analyze large, complex datasets to identify patterns, trends, and potential client risk factors that align with our product offerings or could impact our loss ratios.Apply statistical modeling and predictive analytics techniques to create models that enhance the accuracy and efficiency of insurance risk assessments and pricing decisions.Collaborate with cross-functional teams, including actuaries, underwriters, data and infrastructure engineers, and IT professionals, to drive data-centric initiatives and foster a culture of data-driven, AI-enhanced decision-making.Design and implement machine learning algorithms and artificial intelligence techniques to automate and optimize operational processes, such as prospect identification, policy assessment and evaluation, claims management and client insight presentation.Provide guidance and mentorship to analysts and data engineers, promoting knowledge sharing and skill development within the team.Educate and mentor functional leaders and peers in other departments on the potential applications of ML/AI technologies to their domains.Stay up-to-date with industry trends, emerging technologies, and best practices in data science and insurance analytics to drive continuous improvement and innovation.

Nice to have skills

Experience with large-scale data processing frameworks and databases (e.g., Snowflake, SQL, Vector DBs, Knowledge Graphs)

Project Tech stack & tools : Nomad, TypeScript, Prisma, NestJS, AWS EventBridge, SNS, SQS, Lambda, AWS API Gateway, Serverless Framework, Docker, GitHub, Figma, Atlassian Stack (Jira, Confluence, OpsGenie), Salesforce, Zendesk, OpenAI, Llama

Other benefitsInternational projects

Work with companies from all around the world

Startup atmosphere

You decide what time you want to get up to work

Work from any location you want

We support an active lifestyle

Medical care

We care for the health of our employees

In our office you won't have to eat alone

Work is more fun when we play together

Remember to include a personal data processing clause

I agree to the processing of personal data provided in this document for realising the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)

Recruitment processHR interview

During this call, we get to know each other. Our recruiter will tell you more about our workflow, projects and will ask you about your experience and expectations.

Technical stage

At this step, you meet our experts. You discuss your experience, your approach to solving problems, etc. This is also time for you, to get to know us, and get the answer to every question.

At this step, you meet our CEO and talk about our company, projects and job offer, also about your salary

Communicating positive news - this is by far our favorite stage of the recruitment process. Over the phone, we will discuss with you the details of the job conditions, and then during the next meeting we will give you all documents related to employment in our company

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