Data Scientist: Build Real-World Analytics & Insights

Guidant Global; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Guidant Global is seeking a Data Scientist to join a collaborative team working across multiple projects. You will design, analyze and build data science solutions addressing real business problems, applying statistical methods and clean Python code to support analytics and decision-making.

You will work with production data pipelines, contribute to data engineering tasks, and uphold privacy and ethical data practices.

Qualifications

• Around 2-3 years' experience as a Data Scientist or related analytical role.
• Strong Python skills, with experience contributing to shared codebases.
• Solid grounding in statistics, applied mathematics and scientific analysis techniques.
• Experience working with real-world datasets, including cleaning, validation and exploratory analysis.
• Awareness of ethical considerations and responsible data practices.

Responsibilities

• Contribute to the design, analysis and build of data science solutions addressing real business and operational problems.
• Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making.
• Write and maintain Python code to support data preparation, analysis and modelling.
• Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models.
• Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the life cycle.
• Collaborate with more senior data scientists, learning through shared delivery.
• Communicate findings clearly to both technical and non-technical audiences.
• Contribute to shared documentation, standards and continuous improvement across the profession.

Skills

Python

Statistics

Data Cleaning

Exploratory Data Analysis

Communication

Job description

Guidant Global is seeking a Data Scientist to join a collaborative team working across multiple projects. You will design, analyze and build data science solutions addressing real business problems, applying statistical methods and clean Python code to support analytics and decision-making.

You will work with production data pipelines, contribute to data engineering tasks, and uphold privacy and ethical data practices.