Senior Data Scientist

Who are we?

Qflow was founded in 2018 with a bold mission: to provide the data that empowers the world to build responsibly. We’re building a cutting-edge platform that enables project teams with real-time insights on materials, waste, cost, carbon, and quality, right at the source.

Qflow is helping cut waste and reduce carbon emissions by providing construction and development teams with the data-driven insights they need to deliver productive, profitable and sustainable projects. Our vision is one of a future where the way we build heals the planet and elevates humanity. This isn’t just about making a ‘dirty’ industry a bit better, it’s about using the built environment as a force for good for both people and the planet.

To achieve this, we combine AI, machine learning, and powerful integrations to make sense of chaotic, unstructured data streams. Our technology automatically extracts and structures data from the messiest receipts and documents, audits it against project requirements, flags risks instantly, and seamlessly integrates insights into reporting workflows. Our mobile app makes it effortless for workers on the ground to capture data in seconds — turning construction sites into real-time, data-rich ecosystems.

The impact? Less waste. Lower carbon. Smarter decisions. And ultimately, a construction industry that uses only the resources it needs, delivering the built environment society demands without compromising future generations.

We’re backed by leading climate-tech and construction-tech investors including Systemiq Capital, Greensoil PropTech Ventures, and Suffolk Technologies, and have raised £11.2M in Series A funding to accelerate our international growth. Now, as we scale, we’re searching for a visionary VP of Engineering to shape our technical future and help us redefine what’s possible in construction technology.

You should apply if...

You’re a talented Senior Data Scientist looking for an opportunity to make a difference to one of the world’s most polluting industries. You enjoy working with the latest tech, and like finding ways to use it to solve real problems. QualisFlow About Us & Values

Your team and your role

We’re looking for a new team member who will be responsible for leveraging data to drive business decisions. You'll be involved in the entire data science pipeline from exploration and modelling to experimentation and deployment. We need a Data Scientist who can not only develop models but also bring them into production in collaboration with the rest our Engineering team.

• You’ll be working in our Engineering community within the Data Experience Team, working closely with Product and other engineers reporting to the Senior Engineering Manager.
• Demonstrated experience in researching, prototyping and deploying AI/ML solutions in production.
• Collaborate with stakeholders to identify and understand business needs, translating them into data-driven solutions.
• Perform exploratory data analysis (EDA) to uncover trends and patterns.
• Develop and apply advanced statistical and machine learning models to solve business problems, including forecasting, segmentation, optimization, and predictive modelling.
• Conduct rigorous data analysis, interpret results, and communicate findings to technical and non-technical audiences in a clear and compelling manner.
• Stay abreast of emerging technologies and industry best practices in data science, continuously exploring opportunities for innovation and improvement.
• Contribute to the development of a data-driven culture within the organization, promoting the value of data-informed decision-making.
• Champion best practice in coding, version control, documentation and automation

Your skills

• Strong experience in a data-focused environment, with an emphasis on building scalable, high-performance predictive models
• Advanced proficiency in Python, SQL and modern machine learning frameworks
• Experience in taking machine learning models from development into production
• Familiar with fine tuning Large Language Models (LLMs) and prompt engineering
• Familiarity with SQL and noSQL databases
• Familiarity with cloud architecture, instrumentation, CI/CD, and git
• Understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.)
• Demonstrated ability to identify opportunities, take initiative on improvements, and drive projects from concept to completion with minimal oversight
• Proven track record in delivering high-quality code through test-driven development, pair programming, and collaborative development practices
• Excellent communication and interpersonal skills, with demonstrated ability to convey complex technical concepts to diverse audiences and stakeholders
• Strong mentorship capabilities with experience in guiding engineering teams, fostering a culture of continuous learning, and driving technical growth
• Thrives in a fast-paced, ambiguous start-up environment, driving the delivery of software engineering solutions that are both innovative and tightly aligned with commercial goals
• The role spans looking after mature products, working on current research into new products, through to coming up with new ideas for how to make our data useful for external and internal customers.

Our Tech Stack

This is not a Front End Engineering role but here is our technical stack;

C#, React, TypeScript/JavaScript, Python, .NET Core, Azure DevOps, RESTful APIs, Distributed Systems, Asynchronous Services, Distributed Storage, Azure Tables, SQL Server and Cosmos, Redis, xUnit and Terraform

Our offer

💸 Salary competitive depending on experience

🏡 Remote-first team (Bi-weekly engineering team gatherings and wide-company gatherings once a quarter in our London HQ)

🏝️ 25 days annual leave + 3 days company closure at Christmas + bank holidays

🤒 Paid sick leave

🩺 Private medical insurance

🏥 Critical illness and life insurance

💰 Pension contribution up to 7%

👥 Enhanced family policy

🙋 Paid volunteering days

✈️ We allow our employees to work abroad for up to 90 days

🌎 We’ll offset your annual carbon footprint on your behalf via Ecologi

📚 Learning & development and career progression opportunities

🤩 Company social events (online and in person!)

💻 Company laptop and tools

Our promise

Creating an environment where everyone feels valued, respected and heard is at the forefront of everything we do. We are committed to providing equal employment opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.

We created a culture that extends to all aspects of our operations, including step-free access, as we believe that everyone should have equal opportunities to access our facilities, services, and digital platforms.

Important Notice: No Recruitment Agencies

We kindly request that recruitment agencies refrain from contacting us regarding this job posting. We are solely interested in direct applications from candidates. Any unsolicited communication or resumes received from agencies will not be considered or acknowledged. We encourage candidates to apply directly through the provided application process. Thank you for your understanding.