Transport Data Scientist - Various UK Locations

Jacobs; Birmingham; On-site; GBP 40,000 - 60,000; Full time

Job summary

Jacobs recherche un Data Scientist en Transport pour des projets de transport de haute notoriété. Le rôle exige des compétences en analyse de données, modélisation prédictive et machine learning, avec des opportunités de carrière significatives. L'équipe valorise la diversité et l'inclusion, offrant un environnement de travail flexible.

Benefits

Couverture médicale gratuite

Congés parentaux améliorés

Programme d'assistance aux employés

Remboursement de formations

Qualifications

• Expérience en science des données et ingénierie.
• Compétences dans le développement d'applications Big Data.
• Capacité à travailler indépendamment et en équipes.

Responsibilities

• Analyse de grandes bases de données pour modéliser les mouvements de véhicules et personnes.
• Engagement dans des projets de modélisation de transport variés.
• Utilisation de techniques de modélisation prédictive.

Skills

Data Science

Machine Learning

Statistical Analysis

Data Analysis

Data Fusion

Education

Numerate degree (Mathematics, Statistics, Physics, Data Science)

Tools

Python

R

Job description

Transport Data Scientist - Various UK Locations .

Our values are the fundamental tenets shared across our organisation and the standards we hold ourselves to: We do things right | We aim higher | We challenge the accepted | We live inclusion.

People are Jacobs' greatest asset, and we offer a competitive package to retain and attract the best talent. In addition to the benefits you'd expect, UK employees also receive free single medical cover and digital GP service, family-friendly benefits such as enhanced parental leave pay and free membership of employee assistance and parental programs, plus reimbursement towards relevant professional development and memberships.

About the opportunity

We are one of the largest transport modelling teams in the UK and Europe and offer unparalleled diversity of projects and exposure to different types of clients in the UK and internationally. Such depth offers opportunities for a range of career paths whether it is technical excellence, technical leadership or management roles.

We are a friendly team with a number of modelling excellence centres in the UK, Poland and India. We operate without divisions as One Jacobs, with management practices and systems designed to take down regional barriers and encourage cross-office working.

Our Transport Team, here at Jacobs has developed a strong data-driven transport practice, working with clients including Heathrow Airport, National Transport Authority Ireland, Transport for London, and Department for Transport.

We work with large, complex datasets (often billion+ records) including GPS tracking data and Mobile Network Data to analyze vehicle and people movement patterns across highway and sustainable transport modes.

Key work areas include:
* Trend analysis, clustering, data fusion, and engineering
* Advanced transport model inputs
* Predictive modeling using Machine Learning
* Predictive Discrete choice modeling

We are open to flexible working arrangements and have successfully embedded hybrid working into our delivery style. With a network of offices nationally, we are open to candidates from all locations. So if you have been wondering what to do next with your career and how to make change happen, do reach out to Jacobs! We're seeking an experienced Transport Data Scientist for challenging, high-profile transport projects. The role offers significant growth opportunities and independence, typically reporting to senior technical leads while working closely with our Global Principals for Big Data and Strategic Modelling.

We are looking for candidates with experience in one of the below :
* Transport Data science and engineering
* Big data applications in transport modeling
* Machine Learning and statistical techniques
* Discrete choice model estimation

We are looking for following experience :
* Numerate degree (Mathematics, Statistics, Physics, Programming, Data Science) or equivalent quantitative background
* Proficiency in Python or R for large-scale data analysis
* Experience with trend analysis, data fusion, and insight generation from big datasets
* Skills in machine learning and advanced econometrics
* Ability to work independently and in teams
* Strong communication skills for complex technical problems

Our culture

Our values stand on a foundation of safety, integrity, inclusion and diversity. We put people at the heart of our business and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees. [1] Find out more about life at Jacobs.

We aim to embed inclusion and diversity in everything we do. We know that if we are inclusive, we're more connected, and if we are diverse, we're more creative. We accept people for who they are, regardless of age, disability, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you're pregnant or on family leave. This is reflected in our wide range of Global Employee Networks centred on inclusion and diversity - ACE, Careers, Enlace, Harambee, OneWorld, Prism, Women and Vetnet. [2] Find out more about our employee networks here.

Jacobs partners with VERCIDA to help us attract and retain diverse talent. For greater online accessibility please visit [3] www.vercida.com to view and access our roles. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.

If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please [4] contact the team.

Your application experience is important to us and we're keen to adapt to make every interaction even better. We welcome feedback on our recruitment process and if you need more from us before deciding to join Jacobs then [5] please let us know.

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