Marketing Data Scientist

Found in: Jooble UK C2 - 2 weeks ago

London, United Kingdom Evermore Global Full time

Data Scientist:
Remote first approach (circa 1 day per week).
Job type: Permanent.
Company and role for Data Scientist:

Our client is a global leading marketing organisation who are at the forefront of innovation. We are currently helping them to hire a dynamic Data Scientist to elevate their London-based team.

Our client thrives on pushing boundaries and exploring cutting-edge technologies to address complex data challenges. As part of their Data Science team, you'll have the opportunity to use your creativity and intellect, contributing to the development of groundbreaking products that revolutionise their offerings.

As a Data Scientist, you'll embark on a journey of discovery, leveraging your expertise to develop end-to-end solutions.

Their recent projects showcase the caliber of innovation they pursue, from fine-tuned RAG models, for client-facing Chatbots to hybrid forecasting systems capturing advertising trends with unprecedented accuracy.

Join them in crafting personalized content recommendations and revolutionising user experiences in real-time.


Key Responsibilities for Data Scientist:

closely with stakeholders to translate requirements into actionable insights, partnering with key figures such as the Head od Data Science, Director of Product Management, and the CTO.
data transformation and insights generation through scalable SQL queries.
QA to uphold data and model accuracy.
annotation, wrangling, and implementation of machine learning classifiers.


Experience for Data Scientist:

2+ years of experience in software engineering, with a proven track record of delivering reproducible data science outputs.
~ Advanced proficiency in Python, coupled with a knack for creating impactful machine learning models.
~ Strong exp in relational databases (e.g., SQL Server, Postgres, MySQL) and analytics.
~ Experience with cloud computing platforms (preferably AWS), driving scalable solutions.
~ Visualisation tools such as Looker, Data Studio, or Tableau (being a plus).


Degree in a quantitative field is advantageous but not essential.

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