Join Us!

About Kovrr

At Kovrr, we help businesses quantify cyber risk by merging cybersecurity, finance, and data science to provide data-driven insights. Our platform delivers cutting-edge cyber risk modeling for enterprises, insurers, and financial institutions.

We are looking for a Senior Data Scientist Engineer with strong leadership qualities to drive data science innovation, optimize machine learning models, and develop scalable data solutions. This is an opportunity to work with complex datasets, deploy advanced ML models, and shape the future of cyber risk quantification.

What You’ll Do

• Lead the design and development of machine learning models for cyber risk quantification and predictive analytics.
• Build data pipelines and scalable architectures for processing large-scale structured and unstructured data.
• Develop and optimize algorithms using Python, ML frameworks (TensorFlow, PyTorch, Scikit-Learn), and statistical techniques.
• Implement data engineering best practices, ensuring high-quality data ingestion, transformation, and storage.
• Work with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) to store, manage, and analyze vast amounts of data.
• Deploy models into production using cloud platforms (GCP preferred), ensuring scalability and performance.
• Collaborate with cybersecurity experts, product teams, and software engineers to translate complex data problems into business-impacting solutions.
• Take ownership of data science architecture and best practices, ensuring maintainability, scalability, and reproducibility.
• Stay up-to-date with the latest advancements in AI, ML, and data engineering, implementing best practices and innovative approaches.

What We’re Looking For

• M.s.c Computer Science from known establishment.
• 5+ years of experience in Data Science, Machine Learning, or Data Engineering.
• Strong Python expertise, with experience in data science libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
• Experience designing and building data pipelines using cloud services (GCP preferred) and distributed computing frameworks.
• Expertise in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB).
• Experience deploying ML models in production environments with containerization (Docker, Kubernetes) and CI/CD processes.
• Proven leadership skills, with experience mentoring team members and guiding technical decisions.
• Ability to translate business challenges into data-driven solutions.

Why Join Kovrr?

• Lead data science innovation in a company revolutionizing cyber risk quantification.
• Work with cutting-edge AI/ML technologies in a high-impact, fast-growing industry.
• Take on a leadership role and influence the future of AI-driven cybersecurity.
• Collaborate with top engineers, data scientists, and cybersecurity experts.
• Competitive salary & benefits package with flexible work arrangements.

🚀 If you’re passionate about AI-driven risk modeling and thrive in a leadership-oriented data science role, apply now! 🚀

About Kovrr

At Kovrr, we help businesses quantify cyber risk by merging cybersecurity, finance, and data science to provide data-driven insights. Our platform is designed for scale, delivering cutting-edge cyber risk modeling to enterprises, insurers, and financial institutions.

We’re looking for a Senior Full-Stack Developer to join our Platform Team-someone who is not just a great developer but also a technical leader who can drive innovation, mentor teammates, and push our technology forward.

This role also includes Scrum Master responsibilities, ensuring smooth agile processes using Jira, facilitating sprint planning, and keeping the team focused on delivering high-quality, impactful work.

What You’ll Do

Technical Responsibilities:

• Lead the development of high-scale backend services using Python (FastAPI) and frontend applications with React, Next.js, Webpack, and TypeScript.
• Design and optimize cloud-native applications on Google Cloud Platform (GCP), ensuring scalability and performance.
• ֿWork with SQL databases and MongoDB, building efficient data models and optimizing queries.
• Take ownership of architectural decisions, ensuring the use of best practices in software engineering, security, and DevOps.
• Improve our CI/CD pipelines and deployment processes to enhance automation and efficiency.
• Collaborate closely with product managers, designers, and data scientists to translate business needs into scalable tech solutions.
• Act as a mentor and technical leader, guiding junior developers and fostering a culture of excellence in the team.

Scrum Master Responsibilities:

• Facilitate Agile ceremonies (daily stand-ups, sprint planning, retrospectives, and backlog refinement).
• Ensure smooth sprint execution, helping the team maintain focus and deliver high-quality features on time.

Kovrr is a cyber risk modeling startup, providing enterprises with a data-driven risk management platform. We’re looking for a Delivery Engineer to help run our platform, automate processes, and support client engagements with technical solutions.

Role Overview

As a Delivery Engineer, you will ensure smooth platform operations, develop automation to scale client deployments, and bridge product gaps with scripting and workflow optimizations. This is a hands-on role for someone with a technical background who enjoys problem-solving and automation.

Responsibilities

• Operate, monitor, and troubleshoot Kovrr’s platform.
• Develop automation and scripts to streamline deployments and integrations.
• Support client engagements with technical implementation and optimizations.
• Identify and build solutions to overcome product limitations.
• Collaborate with Customer Success and Engineering teams to improve the platform.

Requirements

• Education: Degree in Computer Science, Engineering, or related field.
• Technical Skills:
  
  • Scripting (Python, Bash, or similar).
  • Cloud platforms (AWS, GCP, etc.).
  • Understanding of APIs and CI/CD pipelines.
• Mindset: Problem-solving, automation-driven, and customer-focused.

Why Join Kovrr?

• Work with cutting-edge cyber risk technology.
• Be part of a growing, technical team.
• Hands-on role with career growth opportunities.

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