Data Science

As a Data Scientist, you will play a pivotal role in analysing complex datasets, developing predictive models, and delivering data-driven solutions that address critical business challenges.

Key responsibilities:

  • Collect, clean, and preprocess large and diverse datasets for analysis.
  • Apply statistical analysis and data mining techniques to extract insights and identify patterns.
  • Develop predictive models and machine learning algorithms to solve business problems.
  • Collaborate with cross-functional teams to define project objectives and deliverables.
  • Use data visualisation techniques to effectively communicate findings to stakeholders.
  • Conduct exploratory data analysis to uncover hidden trends and relationships.
  • Continuously evaluate and improve model performance and accuracy.
  • Provide actionable insights and recommendations based on data analysis.


Typical requirements:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or Ph.D. is preferred.
  • Strong programming skills in languages such as Python or R.
  • Proficiency in data manipulation, analysis, and modelling using libraries and frameworks.
  • Sound knowledge of statistical analysis, machine learning algorithms, and data mining techniques.
  • Experience with data visualization tools (e.g., Tableau, matplotlib) is a plus.
  • Strong problem-solving skills with the ability to think critically and creatively.
  • Excellent communication skills to effectively convey complex concepts to non-technical stakeholders.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).


Other Data, Analytics & Business Intelligence jobs we typically place include:

Get in touch with a friendly member of our data, analytics & business intelligence team to talk about your resourcing needs and #findoutwhatsnext.