Data Science/ML Lead

Join to apply for the Data Science/ML Lead role at Accurx. You will drive the data science and ML strategy, embedding data and ML into the product development lifecycle and leading the first ML models to create intelligent, reusable data products that solve business problems and unlock new capabilities.

• Execute the Data Strategy and Vision
  Act as the lead for data science and ML within the "data as a product" framework. Proactively partner with Product Managers to define data product needs for features and experiments. Champion the design and architecture of advanced, intelligent data products, including our first ML models, that solve specific problems and unlock new product capabilities.
• Drive ML Model Development and Production
  Own the end-to-end lifecycle of our ML models, from ideation and experimentation to deployment and ongoing management. Establish and champion MLOps best practices to ensure our models are robust, scalable, and reliable. Architect and oversee the building of predictive and prescriptive models that inform product strategy and improve user experience.
• Mentor, Empower, and Elevate the Team
  Serve as the go-to technical expert for data science & machine learning, providing guidance and mentorship to other data scientists and analysts. Elevate the data literacy of the wider organisation by coaching product and engineering teams to embrace data ownership and leverage data for decision making. Foster a culture of collaboration, ensuring seamless partnership across all teams and acting as a joint owner of the quality, reliability, and security of our data products.

• Proven leadership experience in a data science role, with a track record of driving strategic initiatives and mentoring junior team members.
• Experience leading the end-to-end development, deployment, and maintenance of production-grade machine learning models.
• Experience with MLOps principles and tools.
• Advanced proficiency in Python, including deep experience with key machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong hands-on experience with complex SQL, preferably in an analytical environment like Snowflake.
• Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.

• Data Warehouse: Snowflake
• BI & Visualisation: Power BI
• Languages: SQL, Python
• Cloud Platform: Azure Services (Functions, Data Lake, Data Factory)
• Event Tracking: Rudderstack, Mixpanel
• Other: Git, CI/CD pipelines, modern data stack with an emphasis on reusability, data governance, and performance

At Accurx we believe in making every day count as we hold a vital role in supporting our users by driving innovative solutions to fix healthcare communication. We want everyone at Accurx to reflect our principles in how they work by looking to fix healthcare communication, raise the bar, be a driver not a passenger, succeed together, move with urgency, be relentlessly resourceful, and embrace challenge.

• Access to Happl - a flexible benefits provider with a budget of £600 to spend on perks (private health insurance, wellness providers, etc.).
• Office first: all accuFolk come to our office in Shoreditch 3 days per week, with the option to work remotely 2 days a week.
• Allocated annual learning & development budget
• Enhanced parental leave policy
• Prayer, meditation and breastfeeding room
• Working abroad policy
• Chef-provided meals: free healthy breakfasts, snacks and lunches

Accurx is committed to being an inclusive employer. We’re glad to accommodate candidates who need adjustments throughout the interview process.

All successful candidates are asked to complete a Basic DBS check along with other pre-employment checks (referencing & right to work). You can find more on our process here. If you’d like to ask questions before you apply please email .

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development