עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
The Engineering organization is charged with developing state-of-the-art analytical and AI/ML models, solutions & algorithms that are Embedded into the company`s suite of cloud services. We continuously promote analytical and algorithmic innovation that addresses a wider set of business problems & challenges faced by financial Institutions. We are seeking an?experienced, innovative & business-savvy Analytics professional to join us and help us build the next big analytical thing. You will lead a team of data scientists and engineers, build and grow the Labs pr
Position Intro:
We are a leading provider of advanced pricing and rating solutions tailored for the insurance and banking industry. Our software empowers actuaries and data scientists within financial companies to make data -driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the market, we are at the forefront of revolutionizing how financial companies approach pricing and rating.
Position Intro:
We are a leading provider of advanced pricing and rating solutions tailored for the insurance and banking industry. Our software empowers actuaries and data scientists within financial companies to make data -driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the market, we are at the forefront of revolutionizing how financial companies approach pricing and rating.
Requirements:
Youll do it using:
Advanced degree (MA/MS. C. or higher) in Computer Science / data Science/Statistics/ Engineering/ Economics or any related quantitative field with a focus on data analysis, applied statistics, Machine Learning / deep learning.
At least 8 years of practical experience as a researcher with significant business experience.
At least 5 years of experience managing highly qualified data Scientists/Analytics professionals.
Expertise in a wide range of Machine Learning /statistical/ data analysis and state-of-the-art algorithms & applications.
Experience in working with external data sources, Real-Time data & processing Big Data covering both structured and unstructured data Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.)
Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.). Proficiency in Python and Scala.
Strong technical and technological background with good familiarity with a wide range of ML /AI & Big Data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.).
Sufficient mathematical background for reading applied academic papers. Strong verbal & written English communication skills.
Youll excel by:
Leadership & managerial skills:
the ability to start and lead projects, development of people, collaboration with other departments.
Creative and innovative mind:
Fast learner & self-motivated.
Thinking outside of the box while supporting key business and customer-facing functions within the organization.
Track record of successful innovation and its implementation in a managed cloud service.
Experience with AWS cloud services - an advantage.
General FinOps, Insurance and/or banking industry experience - an advantage.
Youll do it using:
Advanced degree (MA/MS. C. or higher) in Computer Science / data Science/Statistics/ Engineering/ Economics or any related quantitative field with a focus on data analysis, applied statistics, Machine Learning / deep learning.
At least 8 years of practical experience as a researcher with significant business experience.
At least 5 years of experience managing highly qualified data Scientists/Analytics professionals.
Expertise in a wide range of Machine Learning /statistical/ data analysis and state-of-the-art algorithms & applications.
Experience in working with external data sources, Real-Time data & processing Big Data covering both structured and unstructured data Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.)
Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.). Proficiency in Python and Scala.
Strong technical and technological background with good familiarity with a wide range of ML /AI & Big Data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.).
Sufficient mathematical background for reading applied academic papers. Strong verbal & written English communication skills.
Youll excel by:
Leadership & managerial skills:
the ability to start and lead projects, development of people, collaboration with other departments.
Creative and innovative mind:
Fast learner & self-motivated.
Thinking outside of the box while supporting key business and customer-facing functions within the organization.
Track record of successful innovation and its implementation in a managed cloud service.
Experience with AWS cloud services - an advantage.
General FinOps, Insurance and/or banking industry experience - an advantage.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
