Data Scientist

Posted 04 April 2024
Salary Up to £380 per day
Job type Freelance
Discipline Client Services
Contact NameMalik Osman

Job description

Data Scientist Opportunity

Location: Cardiff, UK (1 day per week in office)
Duration: 9 months (until end of 2024), with potential extension
Hours: Full-time (40 hours per week)
Rate: Up to £380 per day

About the Client: Our esteemed client, a leading innovator in data-driven decision-making, is currently seeking a proficient Data Scientist to contribute to their product strategy through statistical analysis. Renowned for their commitment to excellence and strategic vision, our client offers an exciting opportunity for a skilled individual to join their dynamic team.

Role Overview: The Data Scientist role offers a pivotal position within the client's organization, requiring a blend of statistical expertise and business acumen. The successful candidate will play a key role in shaping product strategy by conducting insightful analysis and presenting findings to stakeholders. This role presents an ideal opportunity for a self-motivated individual who excels in collaborative environments and possesses strong communication skills.

Key Responsibilities:

  • Independently analyse large datasets and deliver actionable insights to business partners, with support from peers.
  • Collaborate cross-functionally to interpret data and inform strategic decision-making processes.
  • Utilize coding proficiency in R and other analytical software to manipulate and analyze data effectively.
  • Apply statistical methods to identify trends, patterns, and correlations, ensuring relevance to business objectives.
  • Communicate complex statistical findings clearly to non-technical audiences, highlighting their business implications.

Candidate Profile:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or equivalent field.
  • Proficiency in coding, particularly in R, complemented by experience with Python, SAS, SPSS, or similar tools.
  • Strong grasp of statistical methods and their practical application in data analysis.
  • Prior experience in a business environment, with exposure to strategic decision-making processes.
  • Familiarity with credit risk analysis is advantageous.
  • Exceptional written and verbal communication skills, enabling effective communication with diverse stakeholders.
  • Demonstrated ability to process and analyze large datasets, including data matching and merging.

Interview Process: Candidates will undergo a rigorous two-stage interview process:

  1. Initial pre-screening assessment to evaluate technical skills and relevant experience.
  2. In-depth technical interview to assess problem-solving abilities and cultural fit.

Join The Team: If you are passionate about leveraging data to drive business outcomes and thrive in a collaborative, fast-paced environment, we invite you to apply for the Data Scientist position. Seize this opportunity to make a meaningful impact on our client's product strategy decisions and embark on a rewarding journey with a leader in data-driven innovation. Apply now to become part of our client's esteemed team!