We are looking for a talented Senior Data Scientist for our Risk Intelligence team.
Risk Intelligence is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection.
You will work on automating claims payouts and enhancing other aspects of rating, claims, and customer experience (e.g. insight to improve fleet safety). This role involves continuous experimentation, A/B testing, and an iterative approach to productizing our learnings.
You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
Risk Intelligence is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection.
You will work on automating claims payouts and enhancing other aspects of rating, claims, and customer experience (e.g. insight to improve fleet safety). This role involves continuous experimentation, A/B testing, and an iterative approach to productizing our learnings.
You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
Requirements:
MSc/Ph.D. in Statistics, Machine Learning, or a related field, with 5+ years of experience as a data scientist.
High proficiency in statistics, machine learning algorithms, and data manipulation and analysis.
Extensive experience in research-oriented roles, analyzing business problems from a data science perspective, conducting literature research, and implementing and testing solutions.
Expertise in supervised and unsupervised machine learning models (e.g., GLM, GAM, XGBoost, Deep Learning).
A proactive approach to staying updated with the latest developments in AI and incorporating them to enhance existing products.
Hands-on programming experience with Python.
Experience with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn and pandas.
Proficiency in SQL.Proficiency in visualizing complex data and extracting actionable insights.
A product-driven mindset with a knack for transforming research outcomes into impactful products.
Excellent communication skills, with the ability to articulate experiment goals and methodologies clearly and communicate insights effectively to the team.
Experience with risk models and insurance companies – Advantage
Experience with telematics data and solution – Advantage
Experience in deploying production solutions – Advantage
MSc/Ph.D. in Statistics, Machine Learning, or a related field, with 5+ years of experience as a data scientist.
High proficiency in statistics, machine learning algorithms, and data manipulation and analysis.
Extensive experience in research-oriented roles, analyzing business problems from a data science perspective, conducting literature research, and implementing and testing solutions.
Expertise in supervised and unsupervised machine learning models (e.g., GLM, GAM, XGBoost, Deep Learning).
A proactive approach to staying updated with the latest developments in AI and incorporating them to enhance existing products.
Hands-on programming experience with Python.
Experience with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn and pandas.
Proficiency in SQL.Proficiency in visualizing complex data and extracting actionable insights.
A product-driven mindset with a knack for transforming research outcomes into impactful products.
Excellent communication skills, with the ability to articulate experiment goals and methodologies clearly and communicate insights effectively to the team.
Experience with risk models and insurance companies – Advantage
Experience with telematics data and solution – Advantage
Experience in deploying production solutions – Advantage
This position is open to all candidates.
