Senior Data Scientist 100% remote
2 tygodni temu
We are looking for a Senior Data Scientist who will play a critical role in driving applied AI/ML strategy to optimize commercial lines insurance operations.
Important: selected specialist can be based anywhere as long as she/he can work during core collaboration hours (8:30 am - 2:30 pm Pacific Time. )
Location: 100% remote
B2B up to 175 PLN net+vat/h
Must have:
Higher degree in Data Science, Statistics, Computer Science etc.
Minimum 5 years of experience as a Data Scientist, preferably in the insurance industry
Expertise in statistical modeling, predictive analytics, machine learning, and data mining techniques.
Proficiency in Python with data manipulation and visualization libraries experience
Experience with large-scale data processing frameworks and databases (Snowflake, SQL, Vector DBs, Knowledge Graphs)
Advanced problem-solving skills, with the ability to analyze complex datasets and derive meaningful insights
Communication and collaboration abilities
Ability to present ideas/solutions 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
Main Responsibilities:
Lead the creation and execution of data-driven strategies to enhance our underwriting methods, pricing frameworks, risk evaluations, and customer experience initiatives.
Examine extensive and intricate datasets to uncover patterns, trends, and potential risk factors for clients that align with our products or may affect our loss ratios.
Utilize statistical modeling and predictive analytics to develop models that improve the precision and efficiency of insurance risk evaluations and pricing decisions.
Work alongside multidisciplinary teams, including actuaries, underwriters, data and infrastructure engineers, and IT experts, to advance data-focused projects and cultivate a culture of AI-enhanced, data-informed decision-making.
Develop and implement machine learning algorithms and artificial intelligence techniques to automate and refine processes such as prospect identification, policy review and evaluation, claims processing, and presentation of client insights.
Offer guidance and mentorship to analysts and data engineers, encouraging knowledge sharing and professional growth within the team.
Instruct and mentor leaders and colleagues from other departments on the possible applications of ML/AI technologies in their fields.
Keep abreast of industry trends, new technologies, and best practices in data science and insurance analytics to foster ongoing improvement and innovation.
Firma: Crestt
Dodano:
Praca na stanowisku - aktualna
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