Das ist der Job
Responsibilities Develop and deploy machine‑learning models in production environments.
Darum lohnt es sich
Role Overview This Senior Data Scientist on the Digital Twins team will apply data science to live production environments, improving the quality, reliability, and performance of high-volume data systems used by global research operations.
Tech Environment You will work with modern data and analytics tooling across cloud platforms, including machine‑learning services, data pipelines, and monitoring solutions. Benefits Flexible hybrid working 25 days leave, with 2 days paid for volunteering and life event leave. Wide range of flexible benefits.
Work end‑to‑end across the data science lifecycle: problem definition, modelling, deployment, and monitoring. Analyse new and existing data sources to improve decision‑making and model performance. Design feedback loops that continuously improve outcomes and data quality.
Collaborate closely with engineers to deliver scalable, reliable model predictions. Communicate technical insights clearly to non‑technical stakeholders. Qualifications Solid experience working as a data scientist on real‑world, production problems. Strong Python skills (or a similar language used in applied data science).
Experience with supervised learning and unsupervised techniques such as anomaly detection. Exposure to cloud‑based model training, deployment, and automation. Strong sense of ownership and accountability for data science outputs. Experience working with large consumer datasets or high‑traffic platforms is an advantage, but not essential.
Our current ecosystem includes AWS technologies, with new development increasingly aligned to Azure. Competitive salary and bonus (bonus dependent on role). Company pension. Enhanced parental leave. Healthcare options. Location Reading, King’s Road, United Kingdom.
Visa and Relocation We are not able to offer visa sponsorship or relocation support for this role.
Equal Opportunity Statement We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted, and are allowed to flourish in a space where their mental health and well-being is taken into consideration.
We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking, and better commercial outcomes. #J-18808-Ljbffr
