Beyond is a technology consultancy that helps organizations thrive in a rapidly changing world by building, modernizing, scaling, and operationalizing technology.
The company creates Cloud and AI solutions to unlock productivity and drive customer growth.
They are seeking a highly skilled and pragmatic Data Scientist with a strong foundation in machine learning, statistical analysis, and the ability to work with knowledge graphs and Large Language Models (LLMs).
The ideal candidate will bridge the gap between advanced analytical insights and practical, scalable implementation.
Key responsibilities include data modeling, advanced analytics, recommendation systems, and leveraging AI for enhanced reasoning and data understanding.
Requirements:
Expertise in statistical modeling and a wide range of machine learning algorithms, including supervised and unsupervised learning, with a particular focus on recommendation systems.
Proficiency in Python for data analysis, machine learning (e.g., scikit-learn, TensorFlow/PyTorch), and data visualization.
Skilled in data preprocessing, feature engineering, model training, validation, and evaluation, focusing on delivering robust and reliable predictions.
Experience with model clustering and segmentation techniques.
Strong understanding of graph data modeling and the ability to leverage graph structures for analytical insights.
Familiarity with common graph algorithms and their practical application.
Ability to interact with and extract insights from graph databases (e.g., Neo4j or similar).
Hands-on experience with integrating and leveraging LLMs for tasks such as reasoning, text analysis, and data mapping.
Proficient in prompt engineering to effectively guide LLM behavior.
Ability to design and implement hybrid inference systems that combine LLM outputs with other data sources to improve predictions.
Solid experience with data manipulation and transformation on large datasets, ideally using distributed computing frameworks.
Proficiency in SQL for data extraction and manipulation.
Understanding of MLOps principles, including model deployment, monitoring, versioning, and ensuring solutions can scale to production.
Familiarity with cloud platforms (GCP preferred) for data and ML services.
A proven track record of independently researching, evaluating, and applying new technologies and methodologies to solve complex business problems.
Strong analytical and critical thinking skills, with an iterative approach to solution development.
Prior experience in the Adtech industry is a plus.
Benefits:
Beyond promotes a culture of inclusivity and openness for all employees, actively encouraging diversity in all its forms.
The company has been named among the Sunday Times Best 100 Companies, highlighting its commitment to a positive workplace culture.
Employees are encouraged to be their most creative and innovative selves, contributing to a collaborative environment.
The organization values the importance of seeing the bigger vision, delivering through ambiguity, expressing strong opinions, and contributing to broader discussions across teams and departments.
