Permanent Polars Jobs in the City of London

4 of 4 Permanent Polars Jobs in the City of London

Associate Python Engineer, Hedge Fund industry

City of London, London, United Kingdom
E-SEARCH CONSULTING LTD
a career switcher or even have some commercial experience already. Whatever the case, you will be passionate about coding and excited to learn more. Stack includes: Python, dataclasses, Pandas, Polars, Pytest, Asyncio, Postgres, and AWS services such as ECS, Lambda and SQS - so experience with these technologies or alternatives would be helpful, but as long as you have a good More ❯
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Associate Python Engineer, Hedge Fund industry

london (city of london), south east england, united kingdom
E-SEARCH CONSULTING LTD
a career switcher or even have some commercial experience already. Whatever the case, you will be passionate about coding and excited to learn more. Stack includes: Python, dataclasses, Pandas, Polars, Pytest, Asyncio, Postgres, and AWS services such as ECS, Lambda and SQS - so experience with these technologies or alternatives would be helpful, but as long as you have a good More ❯
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Data Scientist (Sports Analytics)

City of London, London, United Kingdom
Hybrid / WFH Options
Singular Recruitment
Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep passion for football More ❯
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Data Scientist (Sports Analytics)

london (city of london), south east england, united kingdom
Hybrid / WFH Options
Singular Recruitment
Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep passion for football More ❯
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