Data Scientist

Technopride Ltd
City of London
4 months ago
Applications closed

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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.



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