Data Science / ML Lead

At Accurx, we are making a giant leap from simply describing what\u2019s happened to actively defining what we do next. By the end of 2025, data won\u2019t just support decisions; it will be at the heart of our strategy, sparking innovation and empowering every team to learn faster, act sooner, and create value more confidently.

As our Data Science / ML Lead, you will be the key driver of this transformation within the data team. You\u2019ll move us beyond one-off analyses and into a proactive, product-driven mindset. You will not only lead the team in building and deploying our first machine learning models but will also serve as a strategic partner to product teams, embedding data and ML into the product development lifecycle from the very beginning. You\u2019ll push forward the vision for how data science can create intelligent, reusable data products that unlock new capabilities and solve specific business problems, driving real outcomes for our teams, users and patients.

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.
• Demonstrable 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
• Embrace challenge

Check them out for more detail here!

Access to Happl - a flexible benefits provider with a given budget of £600 to spend on perks of your choice. Options include private health insurance, wellness providers and more.

We are office first, all accuFolk come to our office in Shoreditch 3 days per week, with the option to work remotely 2 days a week. Read more about our policy here.

Allocated annual learning & development budget

Enhanced parental leave policy

Prayer, meditation and breastfeeding room

Working abroad policy

We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!

...And much more.

Like the sound of this role and want to know more about the company? Here\u2019s more about us...

We\u2019re a fast-growing healthcare technology company which makes it easier for patients and healthcare teams to communicate. Accurx is where conversations happen with and about patients. Our software helps doctors, nurses, pharmacists, administrators and other professionals to seamlessly connect with both patients and each other. Our mission is simple: everything we do is to make patients healthier and healthcare staff happier. Today, Accurx is used in 98% of GP practices nationwide and every day more healthcare professionals are using our software in hospitals, pharmacies, care homes and the community. We\u2019re passionate about staying close to our users, which is why everyone at Accurx visits a GP practice at least twice a quarter to understand how a practice runs, the difficulties they face with technologies and how we can help. Head over to our main careers page to find out more about the team and our candidate hub. You can also find out more about us on Medium, LinkedIn and Twitter & Instagram. Our YouTube channel is full of demos of our product, webinars we have held with our users and some clips about life at Accurx.

Diversity & Inclusion

Accurx is committed to being an inclusive employer. As part of this, we\u2019re glad to accommodate candidates who need adjustments throughout the interview process.

Pre-employment Screening

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\u2019d like to ask questions before you apply please email .