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- Tasks: Analyze large datasets using AI and statistical methods to drive decision-making.
- Company: Join BAE Systems, a leader in defense and aerospace innovation.
- Benefits: Enjoy flexible remote work options and potential for a permanent role.
- Why this job: Make an impact with advanced analytics while working in a dynamic team culture.
- Qualifications: Strong math and statistics skills; experience in AI and machine learning is a plus.
- Other info: Contract lasts 12 months with a chance for extension based on performance.
Job: Data Scientist – AI & Statistical Modelling Company: BAE Systems Hourly Rate: £23.39 PAYE or £30.86 UMBRELLA (INSIDE IR35) Location : Barrow (Remote flexibility – occasional on-site) Contract : 12 months (Potential for permanent role based on performance) Working Hours : 37 hours per week Role Overview : BAE Systems Marine Limited to seeking a Data Scientist – AI & Statistical Modelling to support the SSNA Contract Management program within the Submarines business unit. This role offers flexible remote working options and the potential to transition into a permanent position. The ideal candidate will use advanced statistical methods, AI, and machine learning to analyse large datasets and provide key insights for complex scenario planning. Key Responsibilities : Conduct statistical modelling, scenario analysis, and machine learning on large data sets. Apply AI techniques to improve decision-making and project outcomes. Utilize tools like Tableau, SAP, and Term-centre for data analysis and visualization. Present complex data insights and findings in a clear, actionable format. Skills & Qualifications : Proficient in mathematics, statistics, and AI methodologies. Experience with machine learning, statistical modelling, and data analysis….
Data Analyst - AI & Statistical Modeling employer: outsource uk ltd
Contact Detail:
outsource uk ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - AI & Statistical Modeling
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Tableau and SAP. Having hands-on experience or even a project showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your statistical modeling and machine learning techniques. Consider working on personal projects or contributing to open-source projects that involve AI and data analysis to demonstrate your expertise.
✨Tip Number 3
Prepare to discuss real-world applications of your data analysis skills. Think of examples where you've used advanced statistical methods to solve problems or improve outcomes, as this will show your practical understanding of the role.
✨Tip Number 4
Network with professionals in the field of data science and AI. Engaging with communities on platforms like LinkedIn can provide insights into the industry and may lead to referrals or recommendations for the position.
We think you need these skills to ace Data Analyst - AI & Statistical Modeling
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position at BAE Systems. Understand the key responsibilities and required skills, especially in AI, statistical modeling, and data analysis.
Tailor Your CV: Customize your CV to highlight relevant experience in statistical modeling, machine learning, and data analysis. Include specific projects or achievements that demonstrate your proficiency in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background with the requirements of the role. Emphasize your experience with tools like Tableau and SAP, and how you can contribute to the SSNA Contract Management program.
Highlight Your Technical Skills: In your application, clearly list your technical skills related to mathematics, statistics, and AI methodologies. Provide examples of how you've applied these skills in previous roles or projects.
How to prepare for a job interview at outsource uk ltd
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in mathematics, statistics, and AI methodologies. Highlight specific projects where you've successfully applied machine learning and statistical modeling techniques.
✨Demonstrate Data Visualization Expertise
Since the role involves using tools like Tableau and SAP, be ready to share examples of how you've used these tools to present complex data insights. Consider bringing a portfolio or examples of your work.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to conduct scenario analysis. Think of past experiences where you had to analyze large datasets and make decisions based on your findings.
✨Communicate Clearly and Effectively
Practice explaining complex data insights in a clear and actionable format. The interviewers will be looking for your ability to communicate technical information to non-technical stakeholders.
