Senior Data Scientist

Faculty
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Data analysis
Python
NumPy
TensorFlow
Supervised Learning
PyTorch
Deep Learning
Pandas
Performance Monitor

Job description

Join us to shape the future of our Frontier Decision Intelligence Platform. As a Senior Data Scientist, you will lead the design and delivery of AI-powered digital twins that transform how organisations make critical decisions. You will sit at the heart of cross-functional teams, blending technical excellence with commercial insight to solve complex customer problems. This is an opportunity to mentor emerging talent while driving high-impact, production-grade AI solutions in a fast-paced, entrepreneurial environment., * Leading data science efforts within cross-functional teams, partnering with engineers, designers, and commercial leads to ensure successful project outcomes.

  • Understanding deeply core customer challenges to ensure every technical solution delivers significant real-world value.
  • Performing rigorous exploratory data analysis, model building, validation, and performance monitoring.
  • Supporting strong client relationships by working alongside our commercial team to shape the strategic direction of projects.
  • Mentoring and developing other data scientists through task leadership and potential line management.

Requirements

  • You have senior-level experience in data science or quantitative research, supported by a strong foundation in statistics and mathematics.
  • You're proficient in Python and essential libraries like NumPy and Pandas, with familiarity in deep-learning frameworks such as TensorFlow or PyTorch.
  • You possess a versatile toolkit-including supervised learning, time-series, and Bayesian methods-and the creativity to develop new algorithms when needed.
  • You bring a leadership mindset focused on technical excellence, team growth, and fostering a collaborative, inclusive culture.
  • You exhibit scientific rigour and a business-focused approach, successfully translating complex problems into actionable technical strategies.
  • You've demonstrated success in project planning and delivery, with the communication skills to present persuasively to senior stakeholders.

Benefits & conditions

  • 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 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.

About the company

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 TM 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.

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