Data Scientist

Faculty AI; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading AI company in the UK is seeking a Data Scientist to join their team. The role involves working closely with clients to define project scope, driving delivery excellence, and designing data science solutions. Candidates should have proven experience in data science, strong Python programming skills, and excellent communication capabilities. This position offers a hybrid working model with flexible working hours and a range of benefits, including unlimited annual leave and healthcare options.

Benefits

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility

Sanctus Coaching

Qualifications

• Proven experience in a professional data science or quantitative academic role.
• Strong Python programming with essential libraries.
• Solid understanding of core data science techniques.

Responsibilities

• Map the end-to-end data science approach and design software architecture.
• Drive the technical scoping and feasibility assessment of new projects.
• Build strong client relationships and act as a technical advisor.

Skills

Strong Python programming

High mathematical and statistical competence

Data Science techniques

Excellent communication skills

Tools

NumPy

Pandas

TensorFlow

PyTorch

Job description

Why Faculty

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then weve worked with over 350 global customers to transform their performance through human‑centric AI. You can read about our real‑world impact here.

We dont chase hype cycles. We innovate build and deploy responsible AI which moves the needle – and we know a thing or two about doing it well. We bring an unparalleled depth of technical product and delivery expertise to our clients who span government finance retail energy life sciences and defence.

Our business and reputation is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch‑defining technology join a company where youll be empowered to envision its most powerful applications and to make them happen.

About the team

Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.

About the role

As a Data Scientist you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility and drive delivery excellence.

Youll design and deliver bespoke data science solutions shaping the technical direction of high‑impact projects and solidifying our reputation as a leader in practical measurable AI.

What you’ll be doing

• Mapping the end‑to‑end data science approach and designing the associated software architecture for projects
• Driving the technical scoping and feasibility assessment of new projects
• Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
• Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high‑stakes decision‑making
• Setting the technical bar for the project team ensuring the highest standards of code rigour and delivery quality (IC leadership)
• Contributing to Faculty’s thought leadership and reputation through teaching public speaking or open‑source projects

Who we’re looking for

• You have proven experience in a professional data science or quantitative academic role underpinned by high mathematical and statistical competence.
• You are a strong Python programmer proficient in essential libraries (NumPy Pandas) and a deep‑learning framework (TensorFlow / PyTorch).
• You possess a solid grasp of core data science techniques (supervised / unsupervised learning time‑series NLP model validation) and the ability to innovate new algorithms.
• You apply a rigorous scientific and entrepreneurial mindset translating complex business problems into a mathematical framework and measuring model impact upon deployment.
• You are an exceptional communicator adept at translating complex technical solutions into persuasive actionable insights for senior and non‑technical audiences.
• You contribute to team success by project planning assessing technical feasibility estimating delivery timelines and achieving measurable outcomes.

The Interview Process

• Talent Team Screen (30 minutes)
• Take Home Technical Test
• Technical Interview (90 minutes)
• Commercial Interview (60 minutes)

Our Recruitment Ethos

We aim to grow the best team – not the most similar one. We know that diversity of individuals fosters diversity of thought and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds ethnicities genders religions and sexual orientations.

Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family‑Friendly Flexibility & Flexible working
• Sanctus Coaching

Hybrid Working (2 days in our Old Street office London)

If you dont feel you meet all the requirements but are excited by the role and know you bring some key strengths please do apply or reach out to our Talent Acquisition team for a confidential chat – please know we are open to conversations about part‑time roles or condensed hours.

Key Skills

• Laboratory Experience
• Immunoassays
• Machine Learning
• Biochemistry
• Assays
• Research Experience
• Spectroscopy
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Data Analysis Skills

Employment Type: Full‑Time

Experience: years

Vacancy: 1