Data Scientist

Posted 11 March 2024
Salary £60000 - £70000 per annum
LocationGreater London
Job type Permanent
Discipline Digital Marketing & SalesData Science & Data Engineering
ReferenceBH-3715-1
Contact NameRiver Steytler

Job description

An exciting opportunity has arisen for a couple of highly skilled Data Scientists to join our client’s London team. These roles are ideal for someone who thrives in a fast-paced environment and is passionate about leveraging data to drive innovation and efficiency. You will be at the forefront of applying advanced data science techniques to a range of challenging and impactful projects.

Key Responsibilities:

  • Develop and maintain sophisticated ETL pipelines, ensuring their efficiency and low latency.
  • Design and execute complex SQL queries for data extraction, cleaning, and preprocessing from large, unstructured data sets.
  • Utilise advanced machine learning algorithms and techniques to enhance the accuracy of our model development and deployment.
  • Collaborate closely with product managers and software engineers to integrate data science features into our SaaS products.
  • Perform exploratory data analysis, independently identifying and pursuing opportunities for data-driven innovation.
  • Regularly contribute high-quality code to our cloud-based software repositories, ensuring it is peer-reviewed and adheres to best practices.


Technical Skills and Experience:

  • Strong proficiency in Python and SQL, with a minimum of 2 years of experience in a data science role.
  • Demonstrated experience with cloud computing environments, preferably AWS.
  • Solid background in building, querying, and modifying relational databases (e.g., SQL Server, Postgres, MySQL).
  • Proven ability in developing and deploying machine learning models, with familiarity in techniques like Random Forests, Neural Networks, and Support Vector Machines.
  • Experience in data visualisation using tools like Looker, Data Studio, or Tableau.
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering) is preferred.
Professional Qualities:

  • Exceptional problem-solving skills and attention to detail.
  • Ability to work autonomously and manage multiple projects simultaneously.
  • Strong communication skills, capable of explaining complex data concepts in simple terms.
  • A commitment to quality assurance, ensuring data and model accuracy.
What’s on Offer:

  • A dynamic, innovative work environment with significant opportunities for personal and professional growth.
  • A competitive salary and benefits package, including flexible working options.
  • Access to cutting-edge tools and technologies.
  • A supportive, inclusive culture that values diversity and fosters collaboration.