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Data Scientist London, England

Transport for London

Full Time London, England 56000 - 63000 GBP ANNUAL Today

Job description

Data Scientist 041693

Organisation - Customers, Communication and Technology

Job - Data Analytics

Position Type - Full Time

Job Title: Data Scientist
Salary: £56k-£63k
Duration: Permanent
Position type: Part-time/full-time
Location: Hybrid (Remote/Currently North Greenwich)

Job Purpose:

The Data Scientist will support the Principal Data Scientist in developing and delivering new intelligent data analysis and exploitation capabilities across TfL to drive continuous improvement.

You’ll be responsible for the wrangling, reshaping and cleaning of structured and unstructured data, harnessing its value by making it available for use by yourself and others.

You will have expertise in applying data science techniques such as machine and deep learning and are confident when it comes to evaluating their performance. You will support the Principal Data Scientist in developing solutions which will leverage these methodologies and be familiar with what it takes to push optimised versions of these solutions into deployment.

The Data Scientist will need to respond to long-term strategic planning questions based on analysis of TfL’s rich datasets unified with appropriate external data. You’ll be grappling with various data types but exploiting privacy protected vehicle sensor and camera data will likely form a key component of this role.

You will need to be a skilled communicator - problem structuring with stakeholders, storytelling with data using well thought out visuals as well as verbally communicating often complex results to a variety of audiences.

You’ll be expected to be involved with the data science and analytical communities within TfL contributing to knowledge sharing initiatives, workshops and conferences as well as being available as a mentor to those starting out on their data science journey.

Key Accountabilities:

Create new tools and algorithms based by analysing customer and operational data sets such as ticketing, asset and sensor data such as telemetry and log data from vehicles.
Discover value from vast amounts of data to enable transport operations and planning teams to make smarter decisions against an ever-changing data landscape.
Integrate datasets and perform analyses spanning multiple sources, including large scale unstructured data, to generate new insights that cover many TfL services.
Develop a set of robust data analysis methods and algorithms which can be implemented by development teams and subsequently offered to key managers within TfL and external partner organisations on a managed-service basis.
Gain efficiencies from identifying and delivering savings from analysis for business areas through greater use of data.
Support the Principal Data Scientist in researching, testing innovative approaches and developing further if successful.
Develop and further enhance existing capability in image processing and deep learning techniques.
Support the standardising and best practice promotion for machine learning model training, deployment and monitoring across the data science community.

Knowledge:

Proven and detailed knowledge of data and statistical analysis tools such as R, Python (Essential)
Proven knowledge of data analysis and data science methods including:

o Probability and Statistics
o Hypothesis testing
o Predictive data modelling including machine learning
o Simulation and optimisation (Essential)

Proven knowledge of how to use data to answer business questions that drive insight (Essential).
Proven knowledge of how to scope solutions that support data science exploration (Essential).
Knowledge of London’s public transport industry (Desirable).
Knowledge of relevant national and international legislation pertaining to the Government/Public Sector IT – e.g. Data Protection Act, GDPR, and Freedom of Information Act, including knowledge of basic confidentiality and data protection requirements that apply to the processing of customer information (Essential).

Skills:

Ability to analyse complex data consisting of millions of rows and draw conclusions using new analytic approaches to business questions. (Essential)
Ability to effectively present to senior management (Essential)
Ability to provide clear interpretation of statistical evidence and craftsman analytics that can be understood by both technical and non-technical people. (Essential)
Advanced analytical skills including statistics, mathematics, predictive modelling, quantitative analytics, and machine learning. (Essential)
Ability to pipeline and plug various data sources together efficiently in a cloud-based setting - in order to then perform tasks such as data enrichment, quality checking and feature engineering (Essential)
Ability to propose solutions to analytical problems using a data driven approach. (Essential)
Ability to communicate complex analysis effectively, both orally and in writing, with people across the organisation and outside so that the conclusions and implications of the analysis are clear and can be understood by colleagues with a wide range of technical skills. (Essential)
Ability to understand the business impact and strategic context of the interpretation of complex data. (Essential)
Ability to work in a team environment, with fellow data scientists, engineers and development teams and collaboratively to service other parts of TfL (Essential)

Experience:

Experience in working with stakeholders to define business questions and analysis for decision-making. (Essential)
Strong experience in working with extremely large data (millions of rows) and scaling compute to provide complex quantitative analyses using often hidden, messy data (Essential)
Strong experience of using data to inform and influence business strategy and decision making. For example, where the answer will be used by heads of departments, directors to guide the business strategy. (Essential)
Strong experience of gathering, collating, analysing and publishing data in multi – media formats, for both technical and non-technical audiences. (Essential)
Experience with cloud-based services such as those provided via Microsoft Azure, AWS or Google Cloud (Essential)
Strong experience with image processing and deep learning techniques – for instance using the PyTorch framework - as well as a familiarisation with the Databricks platform (Highly Desirable)
A good understanding of MLOps – experience of being involved in the collaborative process of optimising, implementing and then continuously monitoring production model performance alongside data/machine learning engineers (Highly Desirable).

Closing date for applications: Tuesday 21st March 2023 @ 23:59

Many of our staff work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We'll see what we can do.

We understand a confidence gap can get in the way of meeting spectacular candidates. So please don’t hesitate to apply if you think you have what it takes even if you feel you don’t meet all the criteria. We’d love to hear from you.

Inclusivity statement

We are committed to equality, diversity, and inclusion. We want to have a workforce that is truly representative, at all levels, of the city we serve. We welcome applications from all people to ensure we have diversity in background, thought and experience. This will enable us to become a more innovative and efficient organisation and help us meet the needs of our customers.

Our goal is to make our recruitment practices as bias-free and inclusive as possible. We are a disability confident employer who guarantee an interview to any disabled candidate who meets all the essential criteria.

We also use anonymising software that removes identifying information pertaining to your protected characteristics such as your name, gender, faith, ethnicity, disability status, age, sexual orientation, from CVs and cover letters to make the shortlisting process fair. When applying for this role, please make sure your application clearly outlines your relevant skills, knowledge, and experience, detailing in each previous job what you were responsible for, what you delivered and what your achievements are.

Additional Information

Please note that you must apply by using your CV and a covering letter. Please think carefully about the skills, knowledge and experience outlined in the job description and ensure your CV reflects the requirements of the role.

We will endeavour to give candidates as much notice as possible however some interviews/assessments will be organised at short notice and will require a degree of flexibility.

Benefits

In return for your dedication and expertise, you will enjoy excellent benefits and scope to grow. Rewards vary according to the business area and role, but may include: