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Data Scientist
- Posted 11 March 2024
- Salary £60000 - £70000 per annum
- LocationGreater London
- Job type Permanent
- Discipline Digital Marketing & Sales, Data 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:
Technical Skills and Experience:
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.
- 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.
- 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.