Faculty (faculty.ai) Logo

Faculty (faculty.ai)

Senior Data Scientist

Posted 14 Days Ago
Be an Early Applicant
Hybrid
London, Greater London, England, GBR
Senior level
Hybrid
London, Greater London, England, GBR
Senior level
Lead high-impact AI projects, define data science approaches, design software architectures, mentor data scientists, shape client engagements, assess technical feasibility, and ensure rigorous delivery. The role requires advanced Python and machine learning expertise, leadership, commercial awareness, client-facing communication, and the ability to develop innovative algorithms across supervised learning, unsupervised learning, NLP, and validation.
The summary above was generated by AI
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
 

Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.
From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.

 
 
About the role
 

As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership.


You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.
#LI-PRIO

 
 
What you'll be doing:
 
  • Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.

  • Conceiving the core data science approach and designing the associated robust software architecture for new engagements.

  • Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.

  • Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.

  • Contributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects.

  • Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.

     
Who we're looking for:
 
  • You possess senior experience in a professional data science position or a quantitative academic field.

  • You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).

  • You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.

  • You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.

  • You exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework.

  • You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.

 
Our Interview Process
 
  1. Talent Team Screen (30 minutes)

  2. Take Home Technical Assessment

  3. Technical Interview (90 minutes)

  4. 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.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

HQ

Faculty (faculty.ai) London, England Office

160 Old Street, London, United Kingdom, EC1V 9BW

Similar Jobs

28 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
AdTech • Digital Media • eCommerce • Marketing Tech • Sales
Build and productionize classical machine-learning models for lead quality and traffic performance, including classification, ranking, anomaly detection, and forecasting. Apply decision science through contextual bandits, experimentation, causal methods, and off-policy evaluation to improve agent decisions. Monitor models, measure commercial impact, establish guardrails, and collaborate with AI engineers, product managers, platform teams, and business operators.
Top Skills: Aws SagemakerDbtDowhyEconmlGitLightgbmOpen Bandit PipelinePythonScikit-LearnSnowflakeSQLVowpal WabbitXgboost
3 Days Ago
In-Office
Senior level
Senior level
Healthtech • Pharmaceutical
Leads the design, quality governance, and production deployment of real-world healthcare data products and advanced analytics for biopharmaceutical clients. Defines data standards, validates transformations, investigates data quality issues, documents pipelines, and partners with engineering teams to build scalable solutions. Develops prototype dashboards, supports client discovery, standardizes healthcare data models, and presents analytical findings and strategic recommendations to technical and executive stakeholders.
Top Skills: DatabricksDatavantOmopPythonRSQL
4 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Consumer Web • eCommerce
Lead the development of Relay’s large-scale recommender systems for courier-route matching. This role owns recommender evolution from research to production, integrates machine learning models with operational research and network optimisation, designs experiments, and shapes the company’s research culture and technical direction.
Top Skills: Causal InferenceLarge Language Models (Llms)Location IntelligenceMachine LearningOperational ResearchOptimisationRecommender SystemsReinforcement Learning

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account