Data Scientist

Posted 1 hour 32 minutes ago by Technopride Ltd

£50,000 - £70,000 Annual
Permanent
Full Time
Other
London, City, United Kingdom, EC3N 1LH
Job Description
Role Overview

The Data Scientist will be responsible for leveraging advanced analytics, statistical modeling, and AI/ML techniques to deliver actionable insights and innovative data-driven solutions. The role requires a blend of technical expertise, analytical thinking, and stakeholder management skills to support strategic decision-making and optimize business performance.

Core Competencies

Primary Skills

  • Problem Solving - Defines complex problems, generates data-driven solutions, and evaluates alternatives to determine optimal outcomes.

  • AI Ethics - Applies ethical principles and best practices to ensure the responsible use of artificial intelligence technologies.

  • Data Analysis - Collects, interprets, and analyzes large datasets to uncover trends and insights.

  • Data Wrangling - Cleans, manipulates, and transforms data into formats suitable for analysis and modeling.

  • Statistics - Applies appropriate statistical methodologies to support analysis and decision-making.

  • Statistical Algorithms - Utilizes statistical and machine learning algorithms to extract insights and predict outcomes.

Secondary Skills

  • Communication - Delivers complex technical concepts clearly and effectively to diverse audiences.

  • Negotiation & Influence - Builds consensus and drives alignment among stakeholders to achieve business objectives.

  • Stakeholder Management - Develops strong relationships with internal and external partners to understand needs and deliver impactful data solutions.

Requirements

  • Proven hands-on experience as a Data Scientist or AI/ML Engineer.

  • Strong proficiency in Python and SQL, with a solid grasp of software engineering best practices.

  • Experience working within cloud computing environments (e.g., AWS, Azure, GCP).

  • Familiarity with Machine Learning Operations (MLOps) frameworks and pipelines.

  • Excellent analytical, problem-solving, and critical-thinking abilities.

  • Strong communication and presentation skills, with the ability to convey insights effectively to both technical and non-technical audiences.

  • High attention to detail and a structured approach to data-driven problem-solving.