National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist

Women in Data®
London
2 weeks ago
Create job alert

3 days ago Be among the first 25 applicants

Direct message the job poster from Women in Data

Partner and Community Support Executive | REC CertRR

At Faculty, we transform organisational performance through safe, impactful and human-centric AI.

With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.

Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.

Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

Our Frontier team has an opening for a talentedSenior Data Scientist.Join the bright minds in Faculty who are shaping the future of our product.

What you'll be doing:

As a Senior Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins.

Whilst doing this well is partly about building familiarity with Frontier’s development interfaces, it’s mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation.

In terms of other activities you’ll do in the role:

  • You’ll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you’ll ultimately be responsible for the successful delivery.
  • You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects.
  • You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others.

Who we're looking for:

  • Senior experience in either a professional data science position or a quantitative academic field
  • Strong python programming skills as evidenced by earlier work in data science or software engineering.
  • An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)
  • A high level of mathematical competence and proficiency in statistics
  • A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill
  • A leadership mindset focused on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture
  • An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment
  • Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience
  • Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery
  • A product mindset, able to understand the needs of users and to learn how Frontier delivers them value

What we can offer you:

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.

Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

Stay connected! Follow us onLinkedIn for updates on career opportunities and more.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst
  • IndustriesInformation Services

Referrals increase your chances of interviewing at Women in Data by 2x

Sign in to set job alerts for “Data Scientist” roles.

London, England, United Kingdom 2 days ago

Data Science/Data Analytics, ML Consultant | International Consultancy, Fintech, | Python, SQL, GCP, | 2 Days Hybrid, Up to £70,000 +Benefits

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 2 weeks ago

Associate Data Scientist, Growth Analytics

London, England, United Kingdom 13 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 2 months ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 hours ago

London, England, United Kingdom 1 week ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 1 day ago

Data Scientist - AI / ML, Python, Scripting, Cyber Security

London, England, United Kingdom 1 week ago

Data Scientist – Experimentation & Measurement

London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.