Data Science Consultant

Cove, Hampshire
3 weeks ago
Create job alert

Data Science Specialist

Data & System Integration Specialist

Use your expertise to integrate, analyse and visualise data from our Defence customers to make a real impact

Location: Farnborough, Hampshire

Join our dynamic UK Defence Services team and transform military data into actionable insights. Use your expertise in data integration, AI, and system optimization to support critical defence operations. Be part of a global team driving real-world impact-apply today!
Job Role
Help our customers bring value from their data, by making data integrations, data transformations and data visualisations. This will help our military customers to create powerful Common Intelligence Picture (CIP) outputs which will directly inform operational decision-making.
Conduct meetings with the customer. Build and overview of customer data sources / sensors, how to integrate it and present it.
Ma Get and include input from the client's Data Scientists about how to use AI to enrich the data. Integrate AI models into the data processing flows.ke data integrations and validate the outcomes with the customer.
Bring technical expertise in data and system integrations to support both contracted project delivery and business development activities to pursue new sales opportunities.

Key Stakeholders
External: Customers (existing and potential), military stakeholders, industry partners
Systematic: Project teams, Business Development teams, Insight Team, Data Science Team and Product Management.

Technical Knowledge
Advantage if you have worked with
Linux, Docker and Kubernetes
NodeRed or Apache Nifi
OpenSearch and OpenSearch Dashboards
Javascript / Python or similar
Expression Language
JSON / XML
Java and Gradle
PostgreSQL or other relational database
REST Services

Join our growing UK Defence Services team
Our Defence Services team in the UK works closely with military customers and front-line users of our client's software products. We are a small, multi-disciplinary team of technical experts, engineers, software architects, trainers and project managers, whose expertise is highly valued by our customers in the UK and across Western Europe. As a member of this team, you will support the delivery of our broad portfolio of projects, collaborate with colleagues in the other Defence Services teams around the world, and support business developers with new sales opportunities to help drive our continued growth.

Transform Defence Data info actionable insights: Integrate and streamline data for real-time operational success
Drawing on a strong technical skillset in data science, data analytics, and information systems, you will work directly with our Defence customers to help them extract valuable insights from their data, to inform critical operational decision-making. You will be responsible for integrating and processing data from multiple systems and ensuring it is accessible and actionable within our platform and meet the needs of military users. Your work will involve using low-code/no-code tools to design and manage data workflows, performing data transformations, and occasionally scripting in Python to handle more complex tasks.

As well as technical expertise, the ideal candidate will also have experience in external customer-facing or consultancy roles, working directly alongside users to understand their needs and challenges. You will have a strong focus on solving problems and delivering successful outcomes to customers.

Some of your key tasks will include:

  • Data Integration: Ingest data from various external systems and sources into our internal platform. Ensure seamless data flow between different systems, enabling real-time or scheduled data synchronization.
  • Data Processing and Transformation: Utilize low-code/no-code platforms to design and manage data pipelines. Transform raw data into structured formats suitable for reporting, analysis, and visualization. Apply business logic and data mapping to ensure data consistency and accuracy.
  • System Integration: Integrate and configure various software systems to work together, ensuring data is properly exchanged and utilized. Collaborate with IT and development teams to ensure integrations meet technical and business requirements.
  • AI Service Integration: Integrate AI services into data workflows to enhance data processing capabilities. Utilize AI/ML models for tasks such as data classification, prediction, or extracting insights from unstructured data.
  • Data Reporting and Visualisation: Ensure transformed data is properly indexed and made searchable within our systems. Display processed data in dashboards and reports.

    Qualified Data Science Consultant skilled in data integration, APIs, cloud platforms, and problem-solving with strong collaboration abilities

    To succeed in this role, we imagine the right candidate to have...
  • Technical Skills: Experience with data integration tools, such as NodeRed, Apache Nifi. Familiarity with APIs and AI services (e.g., using AI/ML APIs for data processing tasks). Knowledge of JSON, XML, and other data formats.
  • Experience: Proven experience in a data integration or system integration role. Experience with cloud platforms (e.g., AWS, Azure) is a plus.
  • Soft Skills: Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Ability to work independently and manage multiple tasks simultaneously.
  • Educational background: Bachelor's degree in computer science, Information Technology, Data Science, or a related field, or equivalent work experience.

    Please note that you must be eligible to live and work in the UK, and must meet the requirements for UK Security Clearance.

    Never stop developing
    Our client is truly international and uniquely people-centric. Together, we write intelligent and innovative code to drive progress and improve lives, delivering it to our many customers and supporting them in its use. We develop IT solutions that make a real difference where it matters most. This is why we never stop developing. Here, we are committed to being more than just a workplace - our client is a community where professionalism meets personal connection and provides a sense of belonging and pride

Related Jobs

View all jobs

Data Science Consultant

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Data Science Consultant - Gen-AI

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.