- Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
- Collaborate with other data scientists to ideate and solve complex issues pertinent to data ingestion /curation, modality integration, model performance, model generalization
- Stay up-to-date with latest industry trends and advances in data science, machine learning and generative AI
- 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
- 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
- Experience with Big Data technologies a plus —PySpark, H20.Must have proven ability to merge and transform disparate internal & external data sets together to create new features
Data Science Data Science Senior Data Scientist - City of London, Greater London, United Kingdom - Element Materials Technology
Found in: Jooble UK O L C2 - 2 weeks ago
Description
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 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.
Build and deploy advanced machine learning models & design robust analytics engines for high-end digital products
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.
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. Diversity Statement
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.