Data Scientist

Manchester Full-time £45,000 - £60,000 / Year
(£3,750 - £5,000 / Month)

Job Description

We are on the lookout for an experienced Data Scientist to join our vibrant team in Manchester. The successful candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to transform data into actionable insights. You will play a pivotal role in shaping data-driven decision-making across the organization.

Responsibilities

  • Utilize statistical methods to analyze data and generate useful business insights.
  • Collaborate with other departments to define data requirements.
  • Build predictive models and machine learning algorithms.
  • Communicate results effectively through reports and visualizations.
  • Continuously improve data collection and analysis processes.
  • Maintain and optimize existing data processing pipelines.
  • Conduct A/B testing to evaluate outcomes.
  • Implement best practices for data governance and security.
  • Provide training and support for data literacy across the organisation.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in a relevant field is preferred
Experience
  • 5+ years of hands-on experience in data science or analytics.
Technical Skills
  • Python
  • Machine Learning
  • Predictive Modelling
Soft Skills
  • Problem-solving
  • Adaptability
Certifications
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Natural Language Processing (NLP): Skills in processing and analyzing text data.
  • Hands-on experience with Data Warehousing solutions: Familiarity with ETL processes and data warehousing architecture.

Benefits

  • Generous leave policies including annual and sick leave
  • Professional development opportunities
  • Employee wellness programme
  • Access to cutting-edge tools and technologies

Company Culture

  • Growth Mindset: We cultivate a growth mindset, where each team member is encouraged to continuously learn and develop.
  • Work-Life Balance: We value work-life balance and provide flexibility to meet personal and professional commitments.
Status: Closed