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- Tasks: Design and enhance AI algorithms for NLP, empowering teams with robust solutions.
- Company: MBDA is a leading defence organisation supporting Armed Forces to protect our nations.
- Benefits: Enjoy flexible working, a company bonus, enhanced parental leave, and fantastic site facilities.
- Why this job: Shape the future of GenAI in a dynamic team while driving innovation in critical missions.
- Qualifications: Proficiency in Data Science, NLP expertise, strong Python skills, and Agile methodology experience required.
- Other info: British citizenship needed; security checks apply. Join us in making a difference!
The predicted salary is between 42000 - 58000 £ per year.
As a generative AI-focused Data Scientist specialising in Natural Language Processing (NLP), you will drive innovation by designing and enhancing cutting-edge AI algorithms tailored for our diverse internal customer. Your primary mission is to empower our teams with maintainable and robust NLP solutions, fostering a data-driven culture throughout the organization.
Dynamic (hybrid) working: 2 days per week on-site due to workload classification.
Security Clearance: British Citizen. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.
What we can offer you:
- Company bonus: Up to £2,500 (based on company performance and will vary year to year)
- Pension: maximum total (employer and employee) contribution of up to 14%
- Flexible working: We welcome applicants who are looking for flexible working arrangements
- Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave - enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
- Facilities: Fantastic site facilities including subsidised meals, free car parking and much more...
The opportunity: Within MBDA's IM department, we seek a NLP Data Scientist who can architect and code algorithms that harness the power of our internal data. Your role is pivotal in understanding and catering to the unique needs of our internal clients engaged in critical missions such as missile design, weapon systems engineering, IoT integration in manufacturing, and more.
Your responsibilities will encompass the full spectrum of the data science lifecycle: from data exploration and cleaning to algorithm design and implementation, ensuring these algorithms are production-ready and future-proof. Additionally, you will steer our technology roadmap through meticulous tech scouting, delivering state-of-the-art solutions to our internal stakeholders, and keeping our organization at the forefront of innovation. It is a good opportunity to take part in shaping the future of GenAI within MBDA with your insights and experiences in this newly formed international team.
Key Responsibilities:
- Capture internal client needs and requirements across diverse business functions.
- Employ NLP techniques to extract and clean data, ensuring relevance and accuracy.
- Design and develop algorithms with a focus on NLP, applying the latest LLM and RAG technologies.
- Validate algorithm performance and complexity against business needs, ensuring durability and responsiveness.
- Collaborate with internal clients to understand and deliver on their unique data challenges.
- Stay abreast of the latest advancements in generative AI and NLP, guiding our technology strategy.
- Ensure smooth data flow through various exchange and processing techniques (ETL, ESB, API).
- Lead the way in delivering Agile methodologies for successful and timely project delivery.
- Leverage strong database skills (SQL, NoSQL, and Parquet) for efficient data storage and management.
What we're looking for from you:
- Proficiency in Data Science techniques, including statistical models and ML algorithms.
- Expertise in NLP, with a keen understanding of LLM and RAG technologies.
- Strong development capabilities, particularly in Python.
- Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and Parquet).
- Comfort with Agile development methodologies.
- Excellent teamwork and communication skills, with a talent for translating technical concepts into actionable insights for non-specialists.
- Ability to influence company decision-makers and stakeholder engagement.
- Flexibility to travel to MBDA European sites when needed.
Skills Preferable to Have:
- Experience with containerization technologies (Docker).
- Knowledge of the industrial or defence sectors.
Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given. MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.
We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more...
We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.
GenAI Data Scientist employer: MBDA Missile Systems
Contact Detail:
MBDA Missile Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and generative AI. This will not only help you understand the technologies mentioned in the job description but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the defence and technology sectors. Attend relevant meetups or webinars to connect with individuals who can provide insights into the industry and potentially refer you to opportunities at MBDA.
✨Tip Number 3
Showcase your experience with Agile methodologies by discussing specific projects where you successfully implemented these practices. This will demonstrate your ability to adapt and thrive in a dynamic work environment, which is crucial for this role.
✨Tip Number 4
Prepare to discuss how you've tackled data challenges in previous roles. Be ready to share examples of how you've used NLP techniques to solve real-world problems, as this will highlight your practical experience and problem-solving skills.
We think you need these skills to ace GenAI Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science and Natural Language Processing (NLP). Focus on relevant projects, particularly those involving algorithm design and implementation, as well as any experience with LLM and RAG technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for generative AI and how your skills align with the role. Mention specific examples of how you've successfully tackled data challenges in previous roles, and how you can contribute to MBDA's mission.
Showcase Your Technical Skills: Be explicit about your proficiency in programming languages, especially Python, and your experience with data processing frameworks like SQL, NoSQL, and ETL. Highlight any familiarity with Agile methodologies and teamwork experiences that demonstrate your communication skills.
Research MBDA: Familiarise yourself with MBDA's work in the defence sector and their commitment to innovation. Understanding their projects and values will help you tailor your application and prepare for potential interview questions.
How to prepare for a job interview at MBDA Missile Systems
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with Natural Language Processing techniques. Highlight specific projects where you've successfully implemented NLP algorithms, especially those involving LLM and RAG technologies.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your ability to tackle data challenges. Use examples from your past work to illustrate how you approached complex problems and delivered effective solutions.
✨Familiarise Yourself with Agile Methodologies
Since the role involves Agile project delivery, brush up on Agile principles and practices. Be ready to discuss how you've applied Agile methodologies in previous projects and how they contributed to successful outcomes.
✨Communicate Clearly with Non-Technical Stakeholders
Your ability to translate technical concepts into understandable insights is crucial. Prepare to demonstrate how you've effectively communicated complex ideas to non-specialists in your previous roles.
