Want to work at the intersection of Data Engineering, Data Science and AI? This is an opportunity to join a newly established R&D function where you'll help build the data foundations that power innovative AI products. Working in a small, highly collaborative team, you'll have the chance to influence technical direction, own projects end-to-end, and create scalable data assets that drive real business impact.
The Company
They are investing heavily in Data and AI, building a new capability focused on developing data-driven products and intelligent solutions. The team is intentionally small and multidisciplinary, bringing together expertise across Data Science, Data Engineering, AI and Product Development. This is a hands-on environment where collaboration, autonomy and continuous learning are highly valued. Candidates who enjoy startup-style ownership and working in agile teams are likely to thrive.
The Role
- Build and maintain scalable data pipelines using Microsoft Fabric and Databricks.
- Design reusable data assets, lakehouse models and analytical products.
- Conduct exploratory data analysis and uncover opportunities for modelling and insight generation.
- Develop and deploy machine learning solutions across structured and semi-structured data.
- Work on NLP, document-processing, entity resolution and information extraction use cases.
- Collaborate closely with technical and business stakeholders to solve complex problems.
- Apply engineering best practices including Git, testing, APIs and CI/CD.
Your Skills & Experience
- Strong commercial experience spanning both Data Engineering and Data Science.
- Advanced Python, SQL and ideally PySpark.
- Hands-on experience with Microsoft Fabric and Databricks.
- Strong understanding of machine learning, feature engineering, model validation and statistical analysis.
- Experience building production-grade data pipelines and reusable data products.
- Exposure to NLP, document-heavy datasets, entity resolution or information extraction.
- Ability to communicate technical concepts clearly and translate business requirements into analytical solutions.
- Previous experience in a startup, scale-up, or small agile team environment would be highly beneficial.
What They Offer
- Hybrid working arrangement.
- Opportunity to work on cutting-edge Data and AI initiatives.
- Significant ownership and visibility within a growing function.
- Clear progression and exposure to senior Data, AI and R&D leaders.
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Data Science Engineer employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
