Senior Data Scientist

Qflow; Remote; GBP 100,000 - 125,000; Full time

Job summary

A technology firm in London is seeking a Senior Data Scientist to drive business decisions through data insights. The role involves developing and deploying machine learning models and collaborating across teams. Ideal candidates will have advanced skills in Python and SQL, along with strong communication abilities. This position offers a competitive salary, remote work flexibility, and various employee benefits.

Benefits

Remote-first team

25 days annual leave

Learning & development opportunities

Company laptop and tools

Qualifications

• Demonstrated experience in deploying AI/ML solutions in production.
• Strong experience in a data-focused environment.
• Excellent communication and interpersonal skills.

Responsibilities

• Leverage data to drive business decisions.
• Develop and apply advanced statistical and machine learning models.
• Collaborate with stakeholders to identify business needs.

Skills

Proficiency in Python

SQL

Machine Learning Frameworks

Data Analysis

Statistical Techniques

Job description

Overview

Join to apply for the Senior Data Scientist role at Qualis Flow (Qflow).

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 of 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.
• 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 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
• 🏥 Critical illness and life insurance
• 💰 Pension contribution up to 7%
• 👥 Enhanced family policy
• ✈️ 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

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Industries

• Construction
• Climate Technology
• Product Manufacturing
• Software Development

London, United Kingdom