Data Scientist

Manchester Full-time £40,000 - £60,000 / Year
(£3,333 - £5,000 / Month)

Job Description

We are seeking a talented Data Scientist to join our team in Manchester. You will be responsible for analyzing large datasets, developing predictive models, and collaborating with various teams to implement data-driven strategies. Ideal candidates should have a solid foundation in statistical analysis and experience with machine learning frameworks.

Responsibilities

  • Translate business objectives into analytical problems and generate reports.
  • Design experiments to test hypotheses and validate results.
  • Contribute to the development of the company's data analytics framework.
  • Train and mentor junior data scientists and analysts.
  • Engage in continuous learning and development in data science technologies.
  • Foster a data-driven culture within the organization through effective communication.
  • Participate in team meetings to share progress and insights.

Requirements

Education
  • Bachelor's degree in Data Science, Computer Science, Mathematics, or related field
  • Master's degree is preferred
Experience
  • 3+ years of experience in data analysis or a related field
Technical Skills
  • Python
  • SQL
  • Machine Learning
  • Data Visualization
Soft Skills
  • Teamwork
  • Problem-solving
Certifications
  • Data Science Professional Certificate
  • Google Data Analytics Certification
Languages
  • English: Fluent

Advantageous

  • Proficiency in machine learning frameworks like TensorFlow: Hands-on experience with TensorFlow or similar frameworks for developing predictive models.
  • Familiarity with Agile methodologies: Experience working in Agile project environments to promote iterative development.

Benefits

  • Competitive salary package
  • Retirement savings plan with company matching
  • Access to wellness programs
  • Team-building events and activities

Company Culture

  • Inclusivity: We are committed to creating an inclusive environment that welcomes diversity.
  • Work-Life Balance: We prioritize a healthy work-life balance for all our employees.
  • Community Engagement: Our company encourages participation in community activities and initiatives.
Status: Closed