Multidisciplinary Data Specialist - Hybrid

Amentum; United Kingdom; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Private medical cover and digital GP

Family-friendly benefits

Enhanced parental leave pay

Membership reimbursements for pro dev

Flexible working options

Hybrid/part-time options

Job summary

Amentum in the United Kingdom is seeking a versatile Data Professional to join our growing Data capability. You may be a Data Analyst, Data Scientist or Data Engineer, with broader capabilities across the data lifecycle.

You will collaborate within a multidisciplinary team to deliver data-driven solutions for complex customer problems, from data analysis and visualization to pipelines and analytical models. We value problem-solving, curiosity and the ability to learn new technologies.

Qualifications

• Minimum degree in a data-related field or equivalent experience.
• Experience in a data, analytical, scientific, engineering or similar technical role.
• Ability to work across data lifecycle from analysis to pipelines and models.

Responsibilities

• Work as part of a multidisciplinary team delivering data-driven solutions for complex customer problems.
• Analyse and visualise data, and develop data pipelines, models and analytical solutions.
• Develop across the wider data lifecycle with scope to grow across areas.

Skills

Analytical thinking

Problem solving

Data interrogation

Data interpretation

Data visualization

Stakeholder collaboration

Curiosity to learn new tech

Communication of complex concepts

Education

Degree in Data Science

Statistics or Computer Science

Equivalent experience

Tools

SQL

Python

Data visualization tools

Job description

Amentum in the United Kingdom is seeking a versatile Data Professional to join our growing Data capability. You may be a Data Analyst, Data Scientist or Data Engineer, with broader capabilities across the data lifecycle.

You will collaborate within a multidisciplinary team to deliver data-driven solutions for complex customer problems, from data analysis and visualization to pipelines and analytical models. We value problem-solving, curiosity and the ability to learn new technologies.