Data Scientist

3 days ago

Cambridge, Cambridgeshire, United Kingdom Applus+ IDIADA Full time
Job Title: Data Scientist

About the Role:

We are seeking a highly skilled Data Scientist to join our Digital Solutions - DataLab team at Applus+ IDIADA. As a Data Scientist, you will be responsible for developing and evolving data-driven products and applications that align with our mission of innovation and excellence.

Key Responsibilities:

  • Collect, organise, and process data to derive actionable insights.
  • Develop, test, and validate machine learning models and algorithms.
  • Write clean, efficient code to implement data-driven solutions.
  • Collaborate with cross-functional teams to design and build innovative digital products.

Requirements:

  • Strong foundation in mathematics and proficiency with a wide range of statistical methods and machine learning algorithms.
  • Excellent problem-solving skills, with a logical and organised approach to data analysis.
  • Attention to detail, with a keen ability to spot errors in data and code.
  • Creative, out-of-the-box thinking, with a drive to find innovative solutions to complex challenges.
  • Proficiency in Python, with experience in key data science and machine learning libraries.
  • 2+ years of experience working on data science projects.
  • Strong understanding of data science, machine learning, and deep learning techniques.
  • Experience with cloud platforms such as AWS is a plus.
  • Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, or a related field.
  • A Master's degree in Data Science or a related discipline is an advantage.

What We Offer:

  • Hybrid home/office working (selected roles).
  • Flexible working hours (when applicable).
  • Competitive salary package and annual company performance-related bonus.
  • Pension scheme.
  • Healthcare plan (special conditions in collaboration with AXA).
  • 25 days paid annual leave (+8 Bank Holidays).
  • Cycle scheme.
  • Training and career path opportunities.
  • Language courses subsidy.
  • Referral programme.
  • Blood donation paid leave.

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