Data Scientist
1 month ago
We're dedicated to building a diverse and inclusive organisation that reflects the passengers we serve.
Vacancy type: Permanent, 35 hours per week, Hybrid working of 2/3 days in the office. We welcome applications from those seeking flexible or part time hours.
- Generous annual leave (28 days plus statutory days), with the option to buy/sell days.
- Defined benefit pension scheme.
- 75% subsidy on rail and underground season tickets.
- Up to 75% off leisure travel.
- Interest-free travel loan for train and car park season tickets.
- Discounts at stations with your Network Rail pass.
- Flexible/hybrid working arrangements.
- Healthcare Scheme, GymPass discounts, Cycle to work plus more.
- Generous maternity, paternity, and adoption leave to support our employees during significant life moments.
Brief Description
The railway has seen nearly 200 years of technology and innovation that has transformed how we provide services to passengers and freight customers. Technology is continuing to transform the railway industry. Imagine an exciting environment where Digital, Data, and Technology (DDaT) are not just buzzwords but the driving force behind every operation, every decision, and every solution.
About the role
We're seeking a skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for developing and implementing data-driven solutions to drive business growth and improve customer experience. You will work closely with cross-functional teams to design and develop data analytics solutions, and collaborate with stakeholders to identify business needs and develop data-driven insights.
- Develop and implement data-driven solutions to drive business growth and improve customer experience.
- Design and develop data analytics solutions to support business decision-making.
- Collaborate with stakeholders to identify business needs and develop data-driven insights.
- Work closely with cross-functional teams to develop and implement data-driven solutions.
- Stay up-to-date with industry trends and emerging technologies to identify opportunities for innovation and improvement.
Requirements
To be successful in this role, you will need to have a strong background in data science and machine learning, with experience in developing and implementing data-driven solutions. You will also need to have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong background in data science and machine learning.
- Experience in developing and implementing data-driven solutions.
- Excellent communication and collaboration skills.
- Ability to work effectively with cross-functional teams.
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