Senior Data Scientist

Methodfi; Greater London; Hybrid; GBP 70,000 - GBP 90,000; Full time

Job summary

A cutting-edge AI firm in Greater London seeks a Senior Data Scientist to enhance their Decision Intelligence Platform. This role involves designing AI agents, leading data science initiatives, and collaborating with cross-functional teams. Ideal candidates will have extensive experience in data science, proficiency in Python, and an ability to translate complex problems into actionable strategies. The position offers flexibility with hybrid working arrangements and a robust benefits package including unlimited leave and comprehensive health coverage.

Benefits

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility

Sanctus Coaching

Hybrid Working

Qualifications

• 5+ years of experience in data science or quantitative research.
• Proficiency in Python and essential libraries.
• Strong foundation in statistics and mathematics.
• Experience across the full data science toolkit.

Responsibilities

• Design and build agents in high-consequence environments.
• Perform exploratory data analysis, model building and validation.
• Lead data science efforts within cross-functional teams.
• Translate real-world problems into technical strategies.

Skills

Senior-level experience in data science

Proficiency in Python

Knowledge of NumPy, Pandas, scikit-learn

Familiarity with TensorFlow or PyTorch

Strong foundation in statistics and mathematics

Experience in supervised/unsupervised learning

Leadership mindset

Product-oriented mentality

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, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t 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 you’ll be empowered to envision its most powerful applications, and to make them happen.

About the team

The Faculty Frontier™ product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real-world outcomes of critical processes across large-scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.

About the role

Join the Frontier team to shape the future of our Decision Intelligence Platform by delivering AI-powered digital twins that elevate organisational decision-making. As a Senior Data Scientist, solving highly complex and consequential problems and helping enterprise users interact with cutting-edge AI. This is a unique, entrepreneurial role where you will drive real value by combining scientific rigor with a business-focused approach to advance our AI Agent and Decision Hub capabilities.

What you'll be doing:

• Designing and building agents in high-consequence environments, where outputs need to be validated to a high standard

• Performing exploratory data analysis, model building, validation, and performance monitoring.

• Leading data science efforts within cross-functional delivery teams—partnering with engineers, designers, and product leads for successful outcomes.

• Understanding deeply core customer problems to ensure technical solutions drive real value

• Translating real-world problems into technical strategies and measuring model impact with scientific rigor

Who we're looking for:

• You have senior-level experience in data science or quantitative research

• You’re proficient in Python and essential libraries (NumPy, Pandas, scikit-learn), plus familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch)

• You possess a strong foundation in statistics and mathematics

• You’re experienced across the full data science toolkit—including supervised/unsupervised learning, time-series, Bayesian methods, and model validation—and can develop new algorithms when needed

• You bring a leadership mindset centred on technical excellence, team growth, and a collaborative culture

• You exhibit scientific rigor and a business-focused approach: translating problems into technical strategies and measuring model impact.

• You’re product-oriented, deeply understanding user needs and how Frontier can deliver value to them

• It would be great if you had experience building and evaluating agents using eval-driven development (although not a must-have)

The Interview Process

1. Talent Team Screen (30 minutes)

2. Technical Interview (90 minutes)

3. Principles Interview (45 minutes) #LI-PRIO

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.

Some of our standout 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 don’t 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 - [e-mail]. Please know we are open to conversations about part-time roles or condensed hours.