At a Glance
- Tasks: Transform complex data into actionable insights that drive real-world outcomes.
- Company: Join GTR, one of the UK's largest train operating companies.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture focused on diversity and inclusion.
- Why this job: Shape the future of data science and AI while making a real impact.
- Qualifications: Experience in data science, machine learning, and strong analytical skills required.
The predicted salary is between 54000 - 66000 £ per year.
Help shape the future of data-driven decision making at GTR. Are you passionate about turning complex data into meaningful insight that drives real-world outcomes? At GTR, we're looking for an ambitious and forward-thinking Data Scientist to help us unlock the power of data, machine learning and advanced analytics across one of the UK's largest train operating companies.
This is a unique opportunity to play a key role in establishing GTR's first in-house machine learning capability, helping us better understand future risks, opportunities and operational outcomes. You'll work at the heart of our Data & AI function, developing predictive models that support smarter decision making, improve performance and create tangible value for our customers and business.
About the Role
As a Data Scientist in the Central Data & AI function, you will use advanced analytics, statistical modelling and machine learning techniques to extract forward-looking insights from large and complex datasets across multiple business domains. Working closely with operational and business stakeholders, you'll help define business problems, test hypotheses and develop predictive and prescriptive models that influence decision making across commercial, operational and safety functions.
This role offers the opportunity to work within a modern enterprise data environment, leveraging over 40 DataHub products that support more than 2,000 active users. As GTR continues to expand its data and AI capabilities, you'll play an important role in shaping standards, approaches and best practices for data science across the organisation.
What You'll Be Doing
- Developing predictive and prescriptive models using curated DataHub datasets.
- Applying statistical and machine learning techniques to identify trends, risks and future outcomes.
- Working with stakeholders to frame business challenges, define hypotheses and design effective interventions.
- Translating complex analytical findings into clear, actionable insights for technical and non-technical audiences.
- Explaining model assumptions, limitations and risks to support informed decision making.
- Collaborating with Data Engineers to develop data models that support analytical and machine learning use cases.
- Monitoring, evaluating and improving model performance as business conditions evolve.
- Contributing to the development of data science standards, governance and best practice across GTR.
- Supporting the responsible adoption of AI and advanced analytics within an enterprise environment.
What We're Looking For
We're looking for a curious and commercially aware Data Scientist who combines strong technical expertise with excellent stakeholder engagement skills.
You Will Bring
- Demonstrable experience delivering end-to-end data science solutions in a business environment.
- Strong knowledge of statistical modelling, machine learning and predictive analytics techniques.
- Advanced Python and SQL skills, with experience building scalable analytical solutions for production environments.
- Experience designing, training, validating and deploying machine learning models.
- Strong problem-solving capabilities, with the ability to translate complex business challenges into structured analytical approaches.
- Experience working with large enterprise datasets and integrating multiple data sources to generate actionable insight.
- Strong data visualisation and storytelling skills, ideally using Power BI or similar tools.
- Experience working within cloud-based analytics platforms, ideally Microsoft Fabric, Azure, Databricks, Synapse or similar technologies.
- The ability to communicate complex technical concepts clearly and confidently to stakeholders at all levels.
- A collaborative mindset with the confidence to challenge assumptions and propose innovative solutions.
Qualifications
Degree in Data Science, Computer Science, Statistics, Mathematics or a related discipline, or equivalent practical experience.
Why Join Us?
This is an exciting opportunity to help shape the future of data science and AI at GTR. You'll work on meaningful challenges that directly influence how one of the UK's largest train operating companies serves its customers, manages risk and improves performance. You'll have the chance to build innovative solutions at scale, work with modern technologies and collaborate with colleagues across the business to create lasting impact.
Our culture is built around being Fair, Accountable, Collaborative, Transparent and Open-Minded, while ensuring everyone feels Valued, Respected and Safe. We believe diverse perspectives drive better outcomes and we're committed to creating an inclusive environment where everyone can thrive.
Data Scientist employer: Govia Thameslink Railway
GTR is an exceptional employer, offering a dynamic work environment at the Rail Operations Centre in Three Bridges, where no two days are the same. With a strong commitment to employee well-being, we provide a comprehensive benefits package including a final salary pension, health care, and generous travel discounts for you and your family, alongside opportunities for professional growth and a supportive work-life balance through our flexible shift structures. Join us to be part of a dedicated team that values safety, collaboration, and continuous improvement in rail operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Govia Thameslink Railway.
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When you find a suitable opening like Data Scientist at Govia Thameslink Railway, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Govia Thameslink Railway, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Govia Thameslink Railway. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Govia Thameslink Railway
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Govia Thameslink Railway!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.