GenAI Data Scientist

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

Job summary

Join a leading defence organisation as a generative AI-focused Data Scientist specializing in Natural Language Processing (NLP). You'll design and enhance cutting-edge AI algorithms, empowering teams with robust solutions while being part of a dynamic, hybrid working environment. Your role will involve understanding client needs and developing production-ready NLP algorithms that keep our organization at the forefront of innovation.

Benefits

Company bonus: Up to £2,500

Pension: up to 14%

Enhanced parental leave: up to 26 weeks

Flexible working arrangements

Subsidised meals and free car parking

Qualifications

• Proficiency in Data Science techniques and statistical models.
• Expertise in NLP and LLM technologies.
• Strong development skills in Python.

Responsibilities

• Capture client needs and develop robust NLP solutions.
• Design and implement algorithms focusing on NLP.
• Ensure algorithms are production-ready and aligned with business needs.

Skills

Data Science techniques

Natural Language Processing (NLP)

Algorithm development

Python

SQL

NoSQL

ETL

Agile methodologies

Communication skills

Tools

Docker

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.