Overview

About the Role

We’re seeking a skilled Data Scientist to uncover patterns in complex datasets and deliver actionable insights to drive business growth. In this role, you’ll develop data-driven products, identify trends, and propose solutions to strategic challenges. With a strong analytical mindset, proficiency in data tools, and a passion for machine learning and research, you’ll play a pivotal role in decision-making and innovation.

Salary: £35,000 to £40,000

Key Responsibilities

  • Identify and integrate valuable data sources; automate data collection processes.
  • Preprocess structured and unstructured datasets for analysis.
  • Analyse extensive datasets to identify patterns and trends.
  • Develop predictive models and implement machine learning algorithms.
  • Enhance outcomes through ensemble modelling techniques.
  • Communicate findings effectively using data visualisation tools.
  • Collaborate with cross-functional teams, including engineering and product development, to propose strategies and solve business challenges.

Requirements

  • Proven experience as a Data Scientist or Data Analyst.
  • Expertise in data mining, machine learning, and operations research.
  • Proficiency in programming languages such as R, SQL, and Python (Scala, Java, or C++ knowledge is advantageous).
  • Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
  • Strong mathematical foundation (statistics, algebra).
  • Excellent communication skills for presenting complex data in actionable formats.
  • A bachelor’s degree in Computer Science, Engineering, or a related field is required; a master’s degree in Data Science or another quantitative discipline is preferred.

If you’re passionate about data, innovation, and solving complex problems, this is an opportunity to make a tangible impact while advancing your expertise in a collaborative environment.

Please get in touch with the team on 02085497212 for more information or submit your CV using the link below

Apply for Job

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