Data Scientist - Talent Pool

The Rundown AI, Inc.; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a Data Scientist to join their dynamic Frontier Team. In this role, you will lead the development of AI-powered computational twins, working closely with engineers and designers to deliver impactful solutions. Your expertise in Python and data science libraries will be crucial as you tackle complex customer problems and guide other data scientists. This is a unique opportunity to grow in a diverse team of experts who are passionate about applying AI to real-world challenges. If you are driven by curiosity and eager to make a difference, this position is for you.

Qualifications

• Experience in data science or quantitative academic field is essential.
• Strong programming skills in Python and familiarity with data science libraries.

Responsibilities

• Lead data science projects and deliver value to customers.
• Collaborate with cross-functional teams to ensure successful project delivery.

Skills

Python

NumPy

Pandas

Scikit-Learn

TensorFlow

PyTorch

Statistics

Machine Learning

SQL

NLP

Education

Degree in Data Science or Quantitative Field

Relevant Certifications

Job description

About Faculty

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.

We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live.

What you'll be doing:

As a 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.

While 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 to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves 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:

• 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 standard data science techniques, such as supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or developing/writing simple APIs for models. The ability to develop new algorithms when needed is fundamental.

• 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 model performance and impact upon deployment.

• Some commercial experience, particularly if involving client-facing work or project management; eagerness to work with clients; business awareness; excellent written and verbal communication skills; persuasiveness when presenting to large or important audiences.

• Experience leading a team of data scientists to deliver innovative work within strict timelines, including project planning, technical feasibility assessment, and estimating delivery times.

• A product mindset, understanding user needs and how Frontier delivers value.

What we can offer you:

The Faculty team is diverse and distinctive, coming from various backgrounds. We are united by a deep intellectual curiosity that drives us daily.

Faculty offers the professional challenge of a lifetime. You’ll be surrounded by brilliant minds working toward our collective goals.

Our team includes consultants, product developers, business development specialists, and operations professionals, each bringing unique perspectives, and everyone contributes to your learning experience.