GenAI Data Scientist

MBDA; Stevenage; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

Join MBDA as a generative AI-focused Data Scientist specializing in Natural Language Processing (NLP). You'll develop cutting-edge AI algorithms, collaborate with internal teams on vital projects, and contribute to a data-driven culture. Enjoy a competitive salary alongside excellent benefits, dynamic working conditions, and the opportunity to shape the future of GenAI within a leading defense organization.

Benefits

Company bonus up to £2,500 based on performance

Pension contribution up to 14%

Flexible working arrangements

Enhanced parental leave up to 26 weeks

Subsidised meals and free car parking

Qualifications

• Proficiency in Data Science techniques and statistical models.
• Expertise in NLP with understanding of LLM and RAG technologies.
• Strong development capabilities in Python.

Responsibilities

• Capture internal client needs and apply NLP techniques for data handling.
• Design and develop NLP algorithms, ensuring relevance and robustness.
• Lead project delivery using Agile methodologies.

Skills

Data Science techniques

NLP

Python

Agile development methodologies

Strong database skills

Excellent teamwork and communication skills

Tools

Docker

SQL

NoSQL

Parquet

Job description

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.

Salary: Circa £50,000 depending on experience

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.

Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.