Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Solution Architect (Outside IR35 Contract)

Benefact Group plc
Gloucester
9 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Solutions Architect - Data Analytics & Cloud

Data Architect

Google Cloud Data Architect - AI & Data Platforms

Data Architect - Databricks

Working hours:35 hours per week, Monday to Friday

Duration:3 month contract (Outside IR35)

Location:Gloucester

About the role

Benefact Groupare looking for a Solution Architect (Outside IR35) for a 3 month contract in ourGloucesteroffice.

Description of services:

Design and oversee the implementation of cohesive technology, including stakeholder engagement with the appropriate parties and facilitating designs through Architectural governance.

Work across multiple internal and external delivery teams and the Enterprise Architecture function to ensure that designs and implementation are fit-for-purpose and in line with architecture principles and best practices.

Objectives/service deliverables

Translate business needs into technical solutions and communicate architectural visions to both technical and non-technical stakeholders, including the production of Solution designs and option papers for presentation at TDA/ARB for our funeral planning business.

Key objectives:

  • Produce roadmaps for key capabilities
  • Create options for transitions to the 2030 target architecture
  • Produce actionable designs for delivery team

Knowledge, skills and experience

  • Extensive experience in solution architecture
  • Proven track record of designing and implementing complex technical solutions including those involving legacy and cloud platforms
  • Strong knowledge of financial services industry standards, regulations, and best practices
  • Proficiency in architecture frameworks and methodologies (e.g., TOGAF, Zachman)
  • Experience with cloud platforms (e.g., Azure (preferred), AWS, Google Cloud), microservices and event-driven architecture.
  • Familiarity with enterprise integration patterns and technologies (e.g., APIs, ESB, messaging systems).
  • Understanding of data architecture, including data modelling, ETL processes, and data governance.

About us

Benefact Groupis a unique international financial services Group made up of over 30 businesses. We are owned by a charity and are currently the UK’s 3rd largest corporate donor, having given away £200 million since 2016. We have ambitious plans to become the UK’s number one corporate donor, with strategic objectives in place to double the Group’s size.

We believe it’s essential to attract, empower, grow and reward talented people, offering fantastic opportunities for career and personal development. Our giving ethos, 135-year history and the diversity of what we do has enabled us to build a culture of kindness, great ambition, and of passionate people driven to do better and be better.

At Benefact Group, we are committed to creating an inclusive culture and building an environment where each and every one of us feels valued and respected. We are a community made up of people with a range of different backgrounds, abilities, perspectives, beliefs and interests and we value the strength this brings to us as a Group. We welcome applications from everyone.

If you need any additional support during the recruitment process, then please let us know.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.