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Graduate Consultant (Software Engineer, Data, AI/ML, DevOps, Test Automation) | Finance
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Graduate Consultant
- Software Engineer, Embedded Software Engineer, Frontend Engineer
- Data Engineer, AI/ML Engineer, Data Scientist, Investment Data Analyst
- DevOps Engineer, Site Reliability Engineer (SRE), Test Automation
- Location: Newcastle (onsite)
- Industry: Finance
- Salary: £35,000 + 10% bonus (progression to £38k → £41k → £45k → £50k+ within two years)
About the Role
A high-calibre technology consultancy is seeking Graduate Consultants and early-career engineers across software engineering, data, AI/ML, DevOps, automation, and technical consulting disciplines.
Backed by two global consulting and investment management leaders, this team hires multidisciplinary talent—not just specialists who focus on one technology stack. They value problem solvers who think critically, communicate effectively, and excel in demanding, collaborative environments.
Graduates will work on greenfield projects, merging engineering and consulting to solve complex challenges across financial services, expanding into insurance and energy sectors.
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Key Traits They Value
- Enjoy working on challenging technical problems
- Intellectually curious and analytically rigorous
- Comfortable articulating ideas to both technical and non-technical stakeholders
- Thrives on variety, continuous learning, and ownership
- Adaptable, commercially aware, and responsible
Core Responsibilities
- Design and build software applications, data platforms, and technical solutions
- Collaborate directly with stakeholders to refine requirements and deliver impact
- Adopt modern engineering practices in software development
- Develop data pipelines, automation tooling, and cloud-based solutions
- Apply analytical thinking to solve technical and business challenges
- Work across multidisciplinary teams
- Contribute to AI/ML and emerging technology initiatives
- Support greenfield projects from inception to delivery
- Continuously optimise systems, processes, and standards
Requirements
- Degree in STEM, preferably from a leading UK university (minimum 2:1)
- Placement year or relevant real-world experience/internship
- Exceptional communication and interpersonal skills
- Strong passion for technology, engineering, mathematics, or data
- Capacity to quickly learn and operate in agile, high-pressure environments
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Advantageous Experience
- Software Engineering: C#, Python, Java, C++, Rust, TypeScript, Go
- Data Engineering: Pipelines, analytics
- Mathematics/Statistics/Quantitative Analysis
- SQL and databases
- Cloud platforms: AWS, Azure, GCP
- DevOps/AI/ML
- Background in financial services or regulated industries
Benefits
- Performance-based bonus (10–25%)
- Private healthcare
- Pension
- 25 days holiday plus bank holidays
- Structured learning and development (fast-track salary progression)
- Exposure to senior leaders across engineering and business
- Opportunity to work on high-impact projects from day one
- Clear progression pathways in consulting and leadership
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