Data Scientist

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London / £50000 - £65000 annum

INFO

Salary
SALARY:

£50000 - £65000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

Data Scientist

Salary: Up to £65,000

LONDON

Join a dynamic team of Data Scientists!

COMPANY PROFILE

Through the power of Data Science/machine learning, our client leverages data and delivers at a rapid speed! Their collaboration with top-tier companies validates our competitive advantage, which stems from our high-quality data assets and exceptional team of data scientists. As they strive for unprecedented growth, they seek ambitious professionals to join their dynamic team.

ROLE AND RESPONSIBILITIES

  • Utilize programming languages such as Python, SQL, and others to implement statistical methods effectively addressing specific business problems.
  • You will be working extensively on forecasting/propensity modeling.
  • Develop robust models and perform data-driven analyses to support strategic decision-making processes.
  • Innovate and enhance existing methodologies by creating new data sources, conducting rigorous testing, and fine-tuning model parameters.
  • Collaborate closely with Data Engineers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable feedback.
  • Present critical data in a clear and concise format, facilitating a quick understanding of inputs and outputs of forecasting systems and contributing to the continual improvement of their performance.

REQUIRED SKILLS AND EXPERIENCE

  • Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more.
  • Experience working with object-oriented programming languages.
  • Experience in Forecasting and propensity.
  • Expertise in utilizing SQL for data acquisition and transformation.
  • Outstanding quantitative modeling and statistical analysis abilities.

SALARY AND BENEFITS

  • Salary range: up to £65,000.
  • Free lunch.
  • Hybrid working model.

HOW TO APPLY

To be considered for this role, please submit your CV to Luc Simpson-Kent through the application link provided on this page

CONTACT

Luc Simpson-Kent

Senior recruitment Consultant

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