Senior Data Scientist (AI)

Senior Data Scientist (AI)

Temporary 60000 - 80000 £ / year (est.) Home office (partial)
Alexander Mann Solutions - Public Sector Resourcing

At a Glance

  • Tasks: Design and build advanced machine learning models to enhance operational performance.
  • Company: Join Network Rail, a leader in AI innovation within the rail sector.
  • Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
  • Other info: Diverse and inclusive workplace with a commitment to equal opportunities.
  • Why this job: Shape the future of AI in rail and make a real-world impact.
  • Qualifications: Experience in data science, machine learning, and strong programming skills required.

The predicted salary is between 60000 - 80000 £ per year.

On behalf of Network Rail, we are looking for a Senior Data Scientist (AI) for a 12 month contract based Hybrid in London or York.

About the role: This role will play a key part in a new, early-stage AI programme within Network Rail, applying advanced analytics and machine learning to improve operational performance and deliver innovative, real-world AI solutions. You will build machine learning models and AI-driven products, including a new customer-facing AI assistant currently in testing, working with complex and fragmented datasets from across the rail ecosystem. Working closely with senior stakeholders, you will translate data into actionable insights that drive measurable improvements in operations, customer experience and strategic decision making. You will have the opportunity to shape and influence how AI is adopted across the organisation.

As a Senior Data Scientist (AI), your main responsibilities will be to:

  • Design and build advanced machine learning models to analyse complex operational, infrastructure and performance datasets.
  • Work with large, fragmented datasets from multiple sources, assessing data quality and shaping datasets for modelling and AI use cases.
  • Contribute to the development of AI-driven solutions, including customer-facing tools and operational optimisation models.
  • Apply predictive analytics and advanced modelling techniques to improve planning, maintenance strategies, asset optimisation and customer outcomes.
  • Collaborate with data and engineering teams to evolve data structures and support scalable AI capability.
  • Continuously improve data science workflows, tooling and processes, including automation and experimentation.
  • Engage with senior stakeholders across the organisation, challenging thinking where needed and translating complex insights into clear, actionable outcomes.
  • Support the prioritisation and governance of AI initiatives, ensuring alignment with business objectives and responsible AI practices.
  • Communicate technical findings clearly through presentations, dashboards and reports.

Essential:

  • Proven experience in data science, machine learning and predictive modelling in real-world environments.
  • Strong programming skills in Python (or R), with experience using libraries such as Pandas and Scikit-learn, along with SQL and data visualisation tools.
  • Proven ability to work with complex or imperfect datasets and deliver practical solutions.
  • Strong stakeholder engagement skills, with the ability to influence and communicate at senior level.
  • Experience delivering data-driven solutions from concept through to implementation.
  • Excellent problem-solving abilities and a collaborative mindset.

Desirable:

  • A degree (or equivalent qualification) in a STEM discipline (Science, Technology, Engineering, Mathematics) or a closely related field such as Data Science, Computer Science, or Statistics.
  • Familiarity with the railway sector and its operational challenges is a plus.
  • Experience working on AI-driven products (eg chatbots, NLP, or customer-facing AI solutions).

Please be aware that this role can only be worked within the UK and not Overseas. Network Rail is an equal opportunity employer and values diversity. They welcome applications from everyone.

Disability Confident: As a member of the Disability Confident Scheme, Network Rail guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply.

In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.

Armed Forces Covenant: Network Rail guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.

In applying for this role, you acknowledge the following: this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different.

Senior Data Scientist (AI) employer: Alexander Mann Solutions - Public Sector Resourcing

Network Rail is an exceptional employer, offering a dynamic work environment where innovation meets operational excellence. As a Senior Data Scientist (AI), you will have the unique opportunity to shape AI initiatives that enhance customer experience and operational performance, all while collaborating with senior stakeholders in a supportive and inclusive culture. With a commitment to employee growth and diversity, Network Rail fosters a workplace where your contributions are valued and your career can thrive.
Alexander Mann Solutions - Public Sector Resourcing

Contact Detail:

Alexander Mann Solutions - Public Sector Resourcing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist (AI)

✨Tip Number 1

Network with industry professionals! Attend meetups, webinars, or conferences related to AI and data science. This is a great way for us to get our name out there and learn about potential job openings before they’re even advertised.

✨Tip Number 2

Don’t underestimate the power of LinkedIn! Make sure your profile is up-to-date and showcases your skills in machine learning and data science. Engage with posts, share your insights, and connect with recruiters who are looking for talent like us.

✨Tip Number 3

Prepare for interviews by practising common data science questions and case studies. We should also be ready to discuss our past projects and how we’ve tackled complex datasets. The more we can demonstrate our problem-solving skills, the better!

✨Tip Number 4

Apply directly through our website! It’s often the quickest way to get noticed. Tailor your application to highlight your experience with AI-driven products and stakeholder engagement, as these are key for the Senior Data Scientist role at Network Rail.

We think you need these skills to ace Senior Data Scientist (AI)

Machine Learning
Predictive Modelling
Python
R
Pandas
Scikit-learn
SQL
Data Visualisation Tools
Data Quality Assessment
Stakeholder Engagement
Problem-Solving
Collaboration
AI-driven Solutions
Data Science Workflows
Operational Optimisation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, predictive modelling, and any relevant projects that showcase your skills in Python or R. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to Network Rail's goals. Be sure to mention any experience you have with complex datasets and stakeholder engagement, as these are key for this role.

Showcase Your Problem-Solving Skills: In your application, don’t forget to highlight specific examples of how you've tackled complex problems in data science. We love seeing practical solutions you've delivered, so share those success stories that demonstrate your analytical prowess!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at Alexander Mann Solutions - Public Sector Resourcing

✨Know Your Data Inside Out

Before the interview, dive deep into the types of datasets you might encounter in this role. Familiarise yourself with how to assess data quality and shape datasets for modelling. Being able to discuss specific examples of your experience with complex datasets will show that you're ready to tackle the challenges at Network Rail.

✨Showcase Your Machine Learning Skills

Prepare to discuss your experience with machine learning models, especially in real-world applications. Bring examples of projects where you've used Python or R, and be ready to explain your choice of libraries like Pandas and Scikit-learn. This will demonstrate your technical prowess and ability to deliver practical solutions.

✨Engage with Stakeholders

Since this role involves working closely with senior stakeholders, practice articulating complex insights in a clear and actionable way. Think of scenarios where you've influenced decision-making through your data analysis. Highlighting your stakeholder engagement skills will set you apart as a candidate who can bridge the gap between data and business objectives.

✨Prepare for AI Discussions

Given the focus on AI-driven products, brush up on your knowledge of AI applications, particularly in customer-facing tools. Be ready to discuss any relevant experience you have with chatbots or NLP. Showing enthusiasm for how AI can improve operations and customer experience will resonate well with the interviewers.

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