Imagine having the opportunity to contribute to the build of high-impact digital products with a world-class tech team, all while working towards a greater purpose of making the world a better and safer place. Element, a well-established organization that touches billions of lives, is searching for a Data Scientist in London (hybrid) to help build a startup within their organization.

You will design and train performant models from scratch and create a powerful analytics engine fueled by cutting-edge technology and generative AI. You will be responsible for building, validating, and deploying machine learning models that drive our product's analytics engine. Operating in an Agile setting, you will be part of a cross functional team, collaborating closely with other Data Scientists, Data Engineers, Software Engineers, Product Owners and UX /UI Designers, to innovate and drive our product to new heights

Why Work with Us?

At Element, you'll be part of a cross-functional team at the heart of the action, enjoying autonomy and responsibility. Our stunning office, conveniently located near Covent Garden, fosters collaboration and creativity. We expect in-person collaboration Monday to Thursday, but trust you to work from home as needed. No worries about jumping from one Zoom call to another — our team's ensemble approach minimizes meetings and eliminates individual tasks.

• Build and deploy advanced machine learning models & design robust analytics engines for high-end digital products
• Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
• Document code, results, and details of the approaches in a systematic way to promote knowledge sharing and code re-use
• Collaborate with other data scientists to ideate and solve complex issues pertinent to data ingestion /curation, modality integration, model performance, model generalization
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners (both technical and non-technical audiences)
• Stay up-to-date with latest industry trends and advances in data science, machine learning and generative AI
• Actively contribute to a culture of transparency, learning, and innovation, promoting an open mindset across the organization
• Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
• Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
• Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
• Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
• Collaborate, coach, and learn with a growing team of experienced Data Scientists

• Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR MS or PhD in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
• Extensive knowledge and expertise in building, testing, and deploying complex machine learning models that demonstrate high accuracy and robustness
• Strong proficiency in Python, PostgreSQL and Azure Cloud Stack
• Experience with tuning, deployment, monitoring and maintenance of models in production desired
• Expertise in using and implementing cutting-edge machine learning algorithms, frameworks, and libraries, such as PyTorch, Keras, Tensorflow to solve clustering, classification, regression, and optimization problems on large scale data sets
• Hands-on experience with modern NLP methods required. Specifically:
• Transformers models (ex. BERT), LLMs, RAG & Fine-Tuning, OpenAI Stack, Langchain etc.
• Experience with Big Data technologies a plus —PySpark, H20.ai, Cloud AI platforms, Kubernetes
• Must be able to translate business requirements into analytical problems
• Must have proven ability to merge and transform disparate internal & external data sets together to create new features 

What We Offer:

• Meaningful work alongside great colleagues.
• The opportunity to experience real agile modern software development practices.
• A flat organization that values your contributions to the codebase, the processes, and the products.
• Private medical insurance, 25 + 8 days of holidays, and employee discounts in various shops.
• Stunning offices near Covent Garden, with coffee, tea, soft drinks, and fruit.
• A competitive base salary.

Our Hiring Process:

Expect a friendly, remote video call to get to know each other, followed by a face-to-face or remote live coding round — no tricky questions or algorithms. The process typically takes a week from initial contact to offer, depending on your availability.

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Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access.

While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development.

Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization.

At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming “the world’s most trusted testing partner”.

All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.