Data Science Team Lead

2 tygodni temu


Kraków, Polska Verisk Pełny etat
Job Description

Verisk is looking for an experienced Data Scientist to support the development of various analytics models and supervise several junior data scientists. The successful candidate will have experience in data science with coding experience in Python and the ability to develop models using GLMs and machine learning.

This is an exciting and varied role with great potential for career development. We are looking for a motivated and dynamic individual who will enjoy following the process of product development from concept development to execution to customer delivery.

Role Responsibilities

Support the Analytics Team build out new analytics products for claims and underwriting Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results).  Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new data with minimal effort Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues. Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results.

Qualifications

Masters/PhD in maths, science or analytics related discipline Solid programming experience ideally with Python and SQL Experience with data manipulation and validation as well as modelling or statistical techniques Excellent written and verbal communication skills Detail-oriented technical aptitude with strong logical, problem solving and decision-making skills. Fluency in English

We offer:

Professional development and growth opportunities. Possibility to gain leadership experience. A collaborative and inclusive work environment. Flexible working hours and a hybrid work model. Performance-related bonus. Private life insurance, health care, and a Multisport card.

#LI-AA1

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