At a Glance
- Tasks: Design innovative data architectures and AI solutions to drive business success.
- Company: Join LGC, a leader in life sciences tools with a commitment to innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity and encourages curiosity and integrity.
- Why this job: Make a real impact by shaping the future of data and AI in a global organisation.
- Qualifications: Experience in data architecture and AI solutions, with strong technical and communication skills.
The predicted salary is between 63000 - 77000 £ per year.
LGC is an international life sciences tools company, building leading positions in sustainably growing markets. It provides reference materials, genomics solutions and analytical testing products and services, based on its innovation and intellectual property. It works with customers in the pharmaceuticals, agricultural biotechnology, food, environment, and sports sectors as well as with governments and academia to achieve excellence in investigative, diagnostic and measurement science.
Are you passionate about turning complex data into powerful business solutions? Do you enjoy designing innovative technology, solving big challenges and influencing how organisations use data and AI? We’re looking for an experienced Senior Data & AI Architect to help shape our data and AI landscape, building the platforms, capabilities and foundations that will support our future. This is an exciting opportunity to make a real impact, combining hands-on technical expertise with strategic thinking to influence how data and AI are used across our global organisation.
You’ll be responsible for:
- Shaping our data future: Designing and delivering enterprise-wide data architecture strategies that support our business ambitions.
- Building smarter platforms: Architecting scalable, secure and high-performing data solutions across cloud and on-premises environments.
- Bringing AI to life: Designing AI and machine learning solutions that tackle real business challenges and deliver measurable value.
- Making data work harder: Improving existing infrastructure, optimising performance and identifying opportunities to increase efficiency.
- Setting the standards: Establishing strong data governance, quality, security and compliance frameworks.
- Connecting people and technology: Partnering with business leaders, engineers and data scientists to turn complex requirements into practical solutions.
- Driving innovation: Exploring emerging technologies, challenging existing approaches and helping our teams stay ahead of the curve.
- Sharing your expertise: Mentoring technical colleagues and helping build a culture of collaboration, learning and innovation.
Qualifications
What we’re looking for: We’re looking for someone who combines deep technical expertise with the ability to see the bigger picture. You’ll be comfortable getting into the detail, but equally confident influencing stakeholders and shaping long-term technology decisions. Ideally, you’ll bring:
- Significant experience in data architecture, data engineering or enterprise technology architecture, including leading large-scale initiatives.
- Strong experience designing data platforms using AWS, Azure or Google Cloud.
- Expertise in data modelling, SQL, NoSQL and modern database technologies.
- Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks.
- Programming knowledge in Python, Scala, Java or similar languages.
- Experience architecting AI and machine learning solutions, including deploying models into production.
- A solid understanding of data governance, security, quality and compliance.
- Strong problem-solving skills and the ability to communicate technical ideas clearly to a wide range of stakeholders.
Our values:
- Passion: Pride in our achievements engenders passion for our work and it translates into our ambition to make the world a safer place.
- Curiosity: We constantly look forward to what’s next: our curiosity for today’s discoveries makes tomorrow’s innovations possible.
- Integrity: A commitment to high ethical standards has been at the heart of LGC since we started testing the integrity of products in 1842.
- Brilliance: We strive to be the very best in everything we say and do. We exceed customers’ expectations through innovation and pioneering science.
- Respect: We respect gender, age, nationality, religion and individuality - our diversity is our strength.
We are committed to ensuring that every job applicant and employee is valued for their individual talents. We strictly prohibit discrimination on the basis of age, disability, race, colour, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or parental status, religion, or belief. We proudly support an inclusive work environment where everyone can compete and succeed based on their merits.
Senior Data & AI Architect employer: LGC
LGC ASSURE is an exceptional employer that prioritises a culture of quality and collaboration, making it an ideal place for professionals passionate about scientific excellence. Located in a dynamic environment, employees benefit from comprehensive training and development opportunities, fostering personal and professional growth while contributing to impactful projects. With a commitment to innovation and compliance, LGC ASSURE offers a rewarding career path for those looking to make a meaningful difference in the field of quality assurance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LGC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data & AI Architect at LGC.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LGC.
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When you find a suitable opening like Senior Data & AI Architect at LGC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data & AI Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LGC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LGC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LGC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LGC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
