Data Scientist

Technopride Ltd; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading analytics company in the UK is seeking a Data Scientist to leverage advanced analytics and AI techniques for decision-making and business optimization. The ideal candidate has experience with Python, SQL, and cloud computing, coupled with strong problem-solving and communication skills. Join us to deliver innovative data-driven solutions.

Qualifications

• Proven hands-on experience as a Data Scientist or AI/ML Engineer.
• Strong proficiency in Python and SQL with software engineering best practices.
• Experience working within cloud computing environments.

Responsibilities

• Leverage analytics and modeling for data-driven solutions.
• Support strategic decision-making with insights.
• Optimize business performance through technical expertise.

Skills

Problem Solving

AI Ethics

Data Analysis

Data Wrangling

Statistics

Statistical Algorithms

Communication

Negotiation & Influence

Stakeholder Management

Tools

Python

SQL

Cloud Computing (AWS, Azure, GCP)

MLOps

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.