Data Scientist - Hybrid Work, ML Pipelines & Data Hub

Viridien; Conwy; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading technology firm in Conwy seeks a Data Scientist to transform raw data into actionable insights. This role involves developing data-processing pipelines, collaborating with experts, and supporting machine learning initiatives. The ideal candidate has a Master's degree in a related field, proficient in Python, and familiar with various databases. Benefits include a competitive salary, generous leave, and a flexible hybrid work model to promote work-life balance.

Benefits

Competitive salary

Bonus scheme

Flexible working

Annual leave

Pension scheme

Wellbeing app

Discount schemes

Social events

Medical and dental care

Visa sponsorship

Holiday swap

Relaxed dress code

Qualifications

• Background in data science or related field required.
• Experience in Python programming needed.
• Familiarity with hybrid ML workflows is preferred.
• Comfortable with relational, NoSQL, and graph databases.
• Strong data-processing skills required.

Responsibilities

• Develop data-transformation modules.
• Collaborate with Subject Matter Experts to improve workflows.
• Build scalable data-processing solutions.
• Troubleshoot data issues.
• Contribute to data integration and feature design.

Skills

Data science knowledge

Python programming

Machine learning libraries

Database management

Data processing

Collaboration skills

Education

Master’s degree in data science or related field

Tools

GitLab

ML libraries

Relational databases

NoSQL databases

Graph databases

Job description

A leading technology firm in Conwy seeks a Data Scientist to transform raw data into actionable insights. This role involves developing data-processing pipelines, collaborating with experts, and supporting machine learning initiatives. The ideal candidate has a Master's degree in a related field, proficient in Python, and familiar with various databases. Benefits include a competitive salary, generous leave, and a flexible hybrid work model to promote work-life balance.