Lead – Data Science
Posted Updated
Summary
Lead a data science function at an insurtech company: design scalable data infrastructure, build batch/real-time ML pipelines and predictive or deep learning models, and translate business needs into analytics while mentoring juniors. Core stack is Python (Pandas, scikit-learn, TensorFlow/PyTorch, Keras) with NLP and strong data storytelling.
Key Responsibilities:
•Design and build scalable data infrastructure to deliver business insights from diverse data sources.
•Develop batch and real-time analytical pipelines and machine learning solutions.
•Build and implement predictive models, classification systems, and deep learning frameworks.
•Work with stakeholders to translate business requirements into analytical solutions.
•Visualize and communicate analytical results to both technical and non-technical audiences.
•Mentor junior team members and lead small project teams within the Data Science function.
•Drive data storytelling to enable informed business decisions.
•Contribute to architectural decisions, tool selection, and data strategy at an organizational level.
Requirements
Required Skills & Experience:
•4+ years of experience in Data Science, with team leadership or mentoring experience.
•Expertise in Python and core data science libraries: Pandas, NumPy, Scikit-learn, NLTK, TensorFlow/PyTorch, Keras.
•Hands-on experience with Machine Learning, Deep Learning, and Natural Language Processing (NLP).
•Strong understanding of model building, feature engineering, evaluation metrics, and deployment.
•Excellent data visualization, presentation, and data storytelling skills.
•Strong interpersonal and communication skills – able to clearly explain complex models to business stakeholders.
•Passionate about clean, maintainable code and reproducible research.
Nice-to-Have Skills:
•Domain experience in the insurance sector.
•Familiarity with MLOps tools, cloud platforms (AWS, GCP, Azure), or big data tools (Spark, Hadoop).
•Experience with data version control, experiment tracking, and model governance.
Benefits
•Be part of a growing technology-first organization transforming the insurance industry.
•Enjoy a 5-day work week, a modern work environment, and cross-functional collaboration.
•Competitive salary and performance-driven career growth.
•Opportunity to work on challenging problems with cutting-edge tools and technologies