Senior Data Scientist
Permanent - Hybrid
On behalf of a key client, we are resourcing for a Permanent Senior Data Scientist. Our client is growing their data and Product team, and this will be an integral role within the team
Please see the details below
Why You'll Love It Here
- Strategic Impact: Drive the data product strategy at a high-growth phase and influence critical business decisions.
- Career Growth: As the data platform and data product functions expand, you'll be at the heart of that journey-building, leading, and evolving.
- Purpose-Driven Work: Your models will directly contribute to energy sustainability and carbon reduction.
- Modern Tech Stack: Work with a contemporary data and ML environment that includes Python, Spark, and cloud-native platforms.
- Collaborative Culture: Thrive in an inclusive and supportive team that values diverse perspectives and mutual respect.
- Comprehensive Benefits: 25 days holiday, hybrid working, EV car scheme, pension, life assurance, staff discounts, and more.
What You'll Be Doing
- Solve Real-World Problems: Use large datasets to uncover trends, build predictive models, and optimise key business operations.
- Partner Across the Business: Translate challenges into data science solutions across functions like sales, finance, supply chain, and engineering.
- Own the Full Model Lifecycle: From experimentation and training to deployment, monitoring, and optimisation.
- Champion ML Best Practices: Build scalable, reusable design patterns and frameworks that are production-ready and robust.
- Mentor & Lead: Guide junior data scientists and engineers through coaching, best practices, and technical leadership.
- Innovate Continuously: Drive new ways of working, refine tools and pipelines, and evaluate emerging tech like GenAI and LLMs.
- Enable ML Ops at Scale: Help evolve infrastructure for model monitoring, performance tracking, and automation.
What We're Looking For
Technical & Domain Expertise:
- Proven experience delivering production-grade ML models in a commercial setting.
- Strong Python and ML framework knowledge (e.g. TensorFlow, PyTorch, Spark MLlib, Pandas, Numpi).
- Skilled in SQL and ideally Spark or distributed processing frameworks.
- Hands-on experience with model lifecycle tools and MLOps orchestration.
- Solid understanding of data privacy, model governance, and ethical AI.
- Familiarity with BI tools (Tableau, Power BI, Looker) and effective data storytelling.
Desirable Experience:
- Cloud data platforms (AWS, Azure, GCP).
- Serving models via APIs at scale.
- Working with LLMs and GenAI frameworks (OpenAI, Hugging Face, etc.).
- Designing scalable ETL/ELT pipelines.
Mindset & Collaboration:
- You're passionate about impact and sustainability.
- You love turning business challenges into data-driven solutions.
- Excellent communicator who thrives working across technical and non-technical teams.
- A self-starter who brings creativity, curiosity, and continuous improvement to the table.
Please apply with your full CV and contact details, all applicants must have full working right for the UK as my client can no sponsor visa
