Job title: Team Lead Data Analyst (Data Scientist)
Location: Warton. We offer a range of hybrid and flexible working arrangements. Please speak to your recruiter about the options for this particular role
Salary: £54,793+ depending on skills and experience
What you’ll be doing: - Providing technical guidance and upskilling members of the team
- Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions
- Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance
- Exploring ways of using new data science tools and techniques to address business and organisational challenges
- Sharing data science practices across all departments, promoting professional development and use of best practice across all capabilities identified for data scientists
- Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact
- Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control
- Contributing to decision-making throughout the product life cycle by using data sources, analytical techniques and tools
Your skills and experiences: - Experience of leading/managing a team and the ability to foster a collaborative team culture
- Experience using data tools such as Python, MATLAB, Kubernetes and TensorFlow
- Hold a mathematical background with a strong understanding of statistical data
- Inquiring mindset with the ability to translate data sets to customers
Benefits: You’ll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You’ll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts - you may also be eligible for an annual incentive.
The Data Scientist team: The Data Science Team at BAE Systems leverages artificial intelligence to inform business decisions and enhance the skill set of employees, addressing complex business challenges through mathematical applications. The team collaborates closely with the manufacturing sector, specifically in Air milling large metal components, where they utilize camera data and angles for precision measurement and accuracy. Additionally, the team supports engineering by automating the process of addressing customer queries, employing a comprehensive library of previous questions and solutions to streamline response accuracy and efficiency.
Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals.
We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.
Please be aware that many roles working for BAE Systems will be subject to both security and export control restrictions. These restrictions mean that factors including your nationality, any previous nationalities you have held, and your place of birth may limit those roles you can perform for the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.
Closing Date: 27 th November 2024
We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.
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