Data Science Engineer

JR United Kingdom; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

An innovative firm is seeking two Data Science Engineers to join a dynamic project in London. This exciting role involves working on cutting-edge AI solutions, from statistical analysis to model building and visualization. Candidates should possess strong skills in Python, SQL, and machine learning, with a passion for learning new technologies. The position offers the opportunity to work closely with a diverse team, contributing to impactful projects while enjoying the vibrant atmosphere of London. If you're ready to tackle challenging problems and deliver production-ready solutions, this is the perfect opportunity for you.

Qualifications

• Experience in developing and implementing AI solutions, including classification and clustering.
• Proficiency in Python and SQL, with production-level coding experience.

Responsibilities

• Deliver complete projects from data preparation to model building and evaluation.
• Manipulate data and develop models accessible for business use.

Skills

Statistical Data Analysis

Machine Learning

Natural Language Processing (NLP)

Python

SQL

ML Ops

Problem Solving

Cloud Computing

Tools

GitLab

JIRA

Azure AI Search

Job description

Job Opportunity: Data Science Engineer

RED is currently looking for 2 Data Science Engineers to work on a project with a client based in London. These are contract positions initially running until the end of this year, with potential extensions. The role requires presence in London 3 days per week.

We are seeking candidates with the following qualifications:

1. Proficiency in statistical data analysis, machine learning, and NLP, with a solid understanding of practical applications and limitations.
2. Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP.
3. Ability to deliver complete projects, from data preparation to model building, evaluation, and visualization.
4. Proficiency in Python and SQL, with experience in production-level coding and data analysis libraries.
5. Knowledge of ML Ops, model development workflows, and feature engineering techniques.
6. Experience manipulating data and developing models accessible for business use, particularly with Azure AI Search.
7. Familiarity with software development methodologies, version control (e.g., GitLab), and project management tools (e.g., JIRA).
8. Enthusiasm for learning new technologies, problem-solving skills, and ability to deliver production-ready solutions.
9. Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization is a plus.

If interested, please apply directly, and a team member will contact you to discuss further.