Senior Data Scientist

Women in Data®; London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Diverse and inclusive work environment

Professional development opportunities

Chance to work with leading experts in AI

Job summary

Women in Data® is seeking a Senior Data Scientist to lead projects within our Frontier team. This role requires a strong foundation in data science, proficiency in Python and data libraries, and the ability to deliver value to clients through innovative solutions. Join us to work on impactful AI applications alongside industry leaders in a dynamic and supportive environment.

Qualifications

• Senior experience in data science or quantitative academic field.
• Strong skills in Python and its libraries for data analysis.
• Experience leading teams or managing projects.

Responsibilities

• Lead data science work on project teams for customer deployments.
• Build computational twins for AI-powered digital solutions.
• Collaborate with engineers and commercial teams to deliver client value.

Skills

Python

Statistics

Machine Learning

Client Relations

Education

Degree in Data Science or a related field

Tools

NumPy

Pandas

Scikit-Learn

TensorFlow

SQL

Job description

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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 talented Senior 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 on LinkedIn for updates on career opportunities and more.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Information Services

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