Data Scientist

Emporia Consulting Group Limited; Greater London; Hybrid; GBP 125,000 - 150,000; Part time

Job summary

A global Energy company is seeking a Data Scientist for a hybrid position, paying up to £600 per day. The role involves developing data science products, conducting data analyses for business insights, and collaborating with engineering teams. Candidates should have over 5 years of experience in data science, strong programming skills in Python or Java, and advanced SQL knowledge. This opportunity promises significant engagement with data across its lifecycle, focusing on customer value and efficient execution.

Qualifications

• 5+ years of hands-on experience in developing data science solutions.
• Strong programming experience in one or more object-oriented languages.
• Thorough understanding of the mathematical foundations of statistics.
• Advanced knowledge of SQL is required.
• Experience with data science tools across all data lifecycle stages.
• Ability to work with diverse teams for effective execution.

Responsibilities

• Develop data science products with statistical or machine learning algorithms.
• Conduct data analyses for actionable business insights.
• Design and maintain scalable data science products.

Skills

Data science solutions development

Programming in Python or Java

Statistical methods understanding

Advanced SQL

Knowledge of data science tools

Customer-centric mindset

Job description

Overview

A global Energy company is hiring a Data Scientist. Hybrid position. Paying up to £600 per day.

Responsibilities

• Develop data science products, typically containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
• Carry out data analyses to yield actionable business insights.
• Design, plan, prototype, productionize, maintain, and document reliable and scalable data science products in complex environments.

Qualifications

• 5+ years of hands‑on experience in developing data science solutions.
• Strong programming experience in one or more object‑oriented languages such as Python or Java.
• Thorough understanding of the mathematical foundations of statistics and machine learning.
• Advanced SQL knowledge.
• Applied knowledge of data science tools (LLMs, RAG, etc.) across all data lifecycle stages.
• Customer‑centric and pragmatic mindset, focusing on value delivery and swift execution while paying attention to detail.
• Experience working closely with data scientists, data engineers, software engineers, data managers and business partners.