

Data Scientist (with Engineering Experience)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (with Engineering Experience) on a contract basis, offering a pay rate of "X" for "Y" months. Key skills required include machine learning, knowledge graphs, LLMs, Python, SQL, and MLOps, with Adtech experience preferred.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
July 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United Kingdom
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π§ - Skills detailed
#Distributed Computing #Clustering #Data Engineering #Data Extraction #Datasets #Python #SQL (Structured Query Language) #AI (Artificial Intelligence) #Deployment #Data Mapping #Knowledge Graph #Model Deployment #Data Modeling #"ETL (Extract #Transform #Load)" #Supervised Learning #Data Analysis #Visualization #Databases #Data Science #GCP (Google Cloud Platform) #PyTorch #ML (Machine Learning) #Scala #Strategy #TensorFlow #Data Manipulation #Graph Databases #Unsupervised Learning #HBase #Monitoring #Cloud #Neo4J
Role description
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Beyond is a technology consultancy helping organizations thrive in a rapidly changing world.
We build, modernize, scale, and operationalize technology, creating Cloud and AI solutions to unlock productivity and drive customer growth.
Role Overview
β’ We are seeking a highly skilled and pragmatic Data Scientist with a strong foundation in machine learning, statistical analysis, and a crucial 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
β’ Key Responsibilities will involve: Data modeling, advanced analytics, recommendation systems, and leveraging AI for enhanced reasoning and data understanding
Essential Skills & Capabilities:
Core Data Science & Machine Learning:
β’ Expertise in statistical modeling and a wide range of machine learning algorithms: This includes supervised, unsupervised learning, and particularly recommendation systems.
β’ Proficient in Python for data analysis, machine learning (e.g., scikit-learn, TensorFlow/PyTorch), and data visualization
β’ Skilled in data preprocessing, feature engineering, model training, validation, and evaluation, with a focus on delivering robust and reliable predictions
β’ Experience with model clustering and segmentation techniques
Knowledge Graphs & Graph Analytics:
β’ Strong understanding of graph data modeling and the ability to leverage graph structures for analytical insights
β’ Familiarity with common graph algorithms and their practical application
β’ Ability to interact with and extract insights from graph databases (e.g., Neo4j or similar)
β’ A keen interest in researching and applying novel graph-based technologies and algorithms.
Large Language Models (LLM) & Advanced AI Integration:
β’ Hands-on experience with integrating and leveraging LLMs for tasks such as reasoning, text analysis, and data mapping
β’ Proficient in prompt engineering to effectively guide LLM behavior
β’ Ability to design and implement hybrid inference systems that combine LLM outputs with other data sources (e.g., knowledge graphs, statistical models) to fuse confidence and improve predictions
β’ Experience with data vectorization techniques (for both text and graph data) and exploring emerging vector/graph-based technologies
Data Engineering & MLOps Acumen:
β’ Solid experience with data manipulation and transformation on large datasets, ideally using distributed computing frameworks
β’ Proficiency in SQL for data extraction and manipulation
β’ Understanding of MLOps principles: familiar with concepts like model deployment, monitoring, versioning, and ensuring solutions can scale to production.
β’ Familiarity with cloud platforms (GCP preferred) for data and ML services
Research & Problem-Solving Mindset:
β’ A proven track record of independently researching, evaluating, and applying new technologies and methodologies to solve complex business problems
β’ Strong analytical and critical thinking skills, with an iterative approach to solution development
Favorable Experience:
β’ Prior experience in the Adtech industry is a plus
Your Impact as an engineer at Beyond;
As a senior engineer, your influence extends beyond technical expertise. We're looking for individuals who embody these crucial ways of working:
β’ See the Bigger Vision: You don't just solve immediate problems; you understand how your work fits into the larger company strategy and anticipate future needs
β’ Deliver Through Ambiguity: You thrive in dynamic environments, tackling complex challenges even when the path forward isn't entirely clear
β’ Express Strong Opinions: You're comfortable sharing well-reasoned perspectives and engaging in constructive debate to drive the best outcomes
β’ Contribute to Broader Discussions: You actively participate in conversations across teams and departments, sharing insights and influencing strategic decisions
Having been named among the Sunday Times Best 100 Companies, we believe culture plays a large role in what we offer as an organization. We actively promote diversity in all its forms across our Studios, and we proudly, passionately, and proactively strive to create a culture of inclusivity and openness for all our employees.
Beyond is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions in a space of belonging. It is not about race, gender, or age, it is about people. And without our people being their most creative and innovative selves, we are nothing.