Location: London (Hybrid – 3 days onsite)
Salary - £75,000 to £92,000+ Health, Life Assurance, Pension
Are you a Data Science professional who loves solving real operational challenges, not just experimenting in notebooks?
Do you enjoy working with production‑grade data pipelines, cross‑functional product teams, and high‑impact AI initiatives?
I am looking for a Data Scientist to help shape advanced analytics and AI capabilities for large‑scale operational environments. You’ll be joining a fast‑growing tech‑driven organisation delivering AI‑enabled solutions that must run reliably across multiple operating companies no proofs of concept, no throwaway prototypes.
If you're excited by building intelligent systems that get deployed for real, this role could be exactly what you’re looking for.
What You’ll Be Doing
As a Data Scientist supporting AI‑powered MRO solutions, you will:
- Develop advanced models and analytical approaches that transform complex operational data into real‑world impact.
- Work closely with Data Engineers who build enterprise‑grade ETL/ELT pipelines, ensuring your Data Science outputs are scalable and production-ready from day one.
- Collaborate tightly with Product, Engineering, Analysts, and stakeholders to integrate AI solutions directly into operational workflows not just analytical environments.
- Shape data architectures that support multi‑OpCo, multi‑tenant deployments at scale.
- Influence technical direction and embed rapidly into new teams to deliver high‑impact outcomes under real deadlines and ambiguity.
This is Data Science with true end‑to‑end ownership from modelling to deployment.
What You Bring
You’ll thrive here if you have:
- Strong Python and SQL experience, including performance tuning in production environments.
- A solid grounding in Data Science techniques: statistical modelling, machine learning, optimisation, or operational analytics.
- Experience working alongside Data Engineers using tools like Airflow, dbt, Glue or similar orchestration technologies.
- Deep familiarity with cloud environments (AWS strongly preferred), including data, security, and infrastructure components.
Is This You? Ask Yourself…
- Do you want to practice Data Science where your work actually reaches production — quickly and reliably?
- Do you enjoy working in fast‑moving, cross‑functional product squads?
- Do you love the challenge of taking messy, complex data and turning it into robust, scalable AI solutions?
- Are you excited by environments where you influence architecture, strategy, and hands‑on delivery?
- Do you want your Data Science work to directly impact real‑world operational decisions — not sit in a slide deck?
Working Model
- Hybrid role 3 days onsite in London collaborating directly with customer teams.
- Fast‑growth, supportive environment with strong engineering, AI, and product maturity.
Why This Role Stands Out
- You get to build Data Science solutions that genuinely reach production.
- You'll join a team where technical excellence, rapid delivery, and impact are core values.
- You’ll work across multiple operating companies, solving high‑value problems with enterprise visibility.
- You’ll help shape the future of AI‑driven operational intelligence.
If this sounds like a role you would be interested in please get in touch with me, kumbirai.mafini@opus.com
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