Data Scientist

Location: Cheadle, United Kingdom Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily. Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across five major industries; Aerospace, Defence, Ground Transportation, Security and Space. Your health and well-being matters to us and that’s why we offer you the flexibility to do what’s important to you; whether that’s part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. Ground Transportation Systems UK (GTS) are helping to shape the future of the rail industry in the UK. We specialise in communication and signalling, partnering with the biggest names in the rail industry to deliver the rail of the future. This role will transition to Hitachi Rail as part of the transfer of ownership of GTS from Thales. Our Opportunity We are currently looking for a Data Scientist to join us at GTS to work in a full, end-to-end data role, encapsulating the full data lifecycle, from building data pipelines to visualisations and everything in between. In this role, you will be responsible for developing algorithms and analysis that delivers value from our data, developing intelligent algorithms using machine learning techniques that provide key capabilities to our customers, and working with our data engineers and software engineers to deploy these models into production. Our data team is still in its formative stage so this is an excellent opportunity to influence the shape and structure of the team as we grow it over the next few years. This role is based from our office in Cheadle, Manchester. Key Responsibilities: You will be creative in finding the right solution to solve a particular problem, and methodical in demonstrating the real world value of the approach. You will create interactive dashboards to efficiently visualise our data and allow the whole organisation to understand how our data driven solutions are improving operations for our customers. Responsibilities include, but are not limited to:

• Work with large, varied and complex data sets. Solve difficult, non-routine customer problems using state-of-the-art data science and machine learning techniques
• Work with customers to understand their business challenges, where data is understood to be a likely source of improvement drivers, relating back to their business needs
• Extract value from data – create dashboards and algorithms that actively support our customers
• Work with the entire team to understand the customer requirements and deliver solutions to meet them
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers and product managers to identify opportunities for design improvements to Thales products
• Work closely with Thales Research & Technology to develop new techniques that can provide state-of-the-art capability to our digital products

Technical Skills and Experience Previous relevant work experience in a Data science or Engineering role including the following:

• Data Extraction, transformation and loading / data pipelines
• Data visualisation (Grafana, Databricks…)
• Feature engineering
• Model building and deployment
• Monitoring and refinement of deployed models

Experience with statistical and machine learning software packages

• We use Python, but experience in a similar language is acceptable. We prioritize the ability to code rather than any particular syntax.

Cloud Computing experience

• We use Azure - Azure Data Factory, Data Bricks, Azure Functions etc.

Big Data Processing experience

• Batch and Stream Processing
• (py)Spark

Data Storage and Data Warehouse experience

• SQL and NoSQL (PostgreSQL and Clickhouse)
• Time series data analysis

CI/CD and Git Experience turning customer requirements into delivered value.

• Demonstrated ability to articulate analysis to non-technical stakeholders and customers

Human Skills More than anything else, we’re looking for someone who is passionate about data. You’ll also need to be:

• Eager to learn
• Able to adapt to changing business needs
• A strong communicator
• A good team player

Qualifications:

• Degree in a quantitative discipline (e.g., data science, statistics, operations research, computer science, mathematics, physics, engineering, industrial engineering)

What We Can Offer We’re committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you’ll have a myriad of opportunities within our diverse, global organisation. Flexibility Your health and well-being matters to us and that’s why we offer you the flexibility to do what’s important to you; whether that’s part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. GTS UK is an equal opportunities employer and diversity and inclusion are integral to the success of GTS UK. In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the Defence Business Services National Security Vetting (DBS NSV) Agency. At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Thales UK is committed to providing an inclusive and barrier-free recruitment process. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment, if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact Resourcing Ops for mid to senior roles, or the Early Careers Team for graduate and apprentice roles. Great journeys start here, apply now!