Job description

Our client, a leading innovator in the insurance sector, is looking for a highly analytical and experienced Senior Data Scientist to join their fully remote team. This position is crucial for driving data-driven decision-making across all facets of the insurance business, from risk assessment and fraud detection to customer segmentation and product development. You will leverage your expertise in statistical modeling, machine learning, and data visualization to uncover actionable insights from vast datasets. As a remote-first employee, you will have the autonomy and flexibility to work from anywhere within the US, collaborating with colleagues across different time zones through digital platforms. Key Responsibilities: Develop and deploy advanced statistical models and machine learning algorithms to solve complex insurance-related problems, such as predictive modeling for customer lifetime value, claim frequency, and underwriting risk. Analyze large and complex datasets from various sources, including policyholder information, claims data, market trends, and external data providers, to identify patterns and insights. Design and implement A/B testing frameworks to evaluate the effectiveness of new strategies and product features. Build and maintain data pipelines for cleaning, transforming, and aggregating data for analysis and model training. Communicate findings and recommendations clearly and concisely to technical and non-technical stakeholders through compelling visualizations and presentations. Collaborate closely with product managers, actuaries, underwriters, and marketing teams to define analytical requirements and deliver impactful solutions. Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and evaluate their potential application within the insurance industry. Mentor junior data scientists and contribute to the development of the team's analytical capabilities. Ensure data quality and integrity throughout the analytical process. Contribute to the development of a data-driven culture within the organization. Qualifications: Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5+ years of hands-on experience as a Data Scientist, with a strong focus on statistical modeling and machine learning. Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy). Experience with SQL for data extraction and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a significant advantage. Demonstrated experience in the insurance industry or with insurance-related data is highly preferred. Expertise in areas such as regression analysis, classification, clustering, time series forecasting, and natural language processing. Excellent communication, presentation, and interpersonal skills, with the ability to translate complex technical findings into business insights. Proven ability to work independently, manage multiple projects simultaneously, and deliver high-quality results in a remote setting. This is a unique opportunity to make a significant impact on a dynamic insurance company from the comfort of your home office. If you are passionate about using data to solve challenging problems and drive business growth, we encourage you to apply.

Requirements