Data Scientist

Posted 6 days 21 hours ago by Technopride Ltd

Permanent
Full Time
Other
England, United Kingdom
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.