Data Scientist

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

Job summary

A data solutions company in Greater London is seeking a Data Scientist responsible for leveraging advanced analytics and AI/ML techniques to yield actionable insights. The ideal candidate will possess strong skills in Python and SQL, detailed knowledge of cloud environments, and a knack for stakeholder management. As part of a full-time role, you'll work on innovative data-driven solutions while ensuring adherence to ethical AI practices. Excellent communication skills are essential for reporting insights to diverse audiences.

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 in cloud computing environments like AWS or Azure.
• Familiarity with MLOps frameworks and pipelines.
• Excellent analytical and problem-solving abilities.
• Strong communication skills for technical and non-technical audiences.
• High attention to detail and structured data-driven problem-solving.

Responsibilities

• Leverage advanced analytics and AI/ML techniques for actionable insights.
• Support strategic decision-making and optimize business performance.

Skills

Problem Solving

AI Ethics

Data Analysis

Data Wrangling

Statistics

Statistical Algorithms

Communication

Negotiation & Influence

Stakeholder Management

Tools

Python

SQL

AWS

Azure

GCP

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.

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.

Key Skills

• Laboratory Experience
• Immunoassays
• Machine Learning
• Biochemistry
• Assays
• Research Experience
• Spectroscopy
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Data Analysis Skills

Employment Type: Full Time