Senior Data Scientist - Personalisation

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

• We're looking for a deeply investigative and creative Senior Data Scientist to uncover opportunities and define the models that power our next generation of intelligent personalization systems. This role is for a true practitioner who is comfortable with ambiguity and excels at translating complex business problems into rigorous, data-driven solutions.

• You will be the team's expert in algorithmic design and statistical modeling, with a strong focus on prototyping novel approaches for Next Best Action (NBA) and sophisticated feed/collection ranking. You will explore, analyze, and model complex datasets within the GCP ecosystem to validate hypotheses and create the blueprints for production-scale models.

What You'll Do:

• Lead the exploratory analysis and data investigation to identify new features and modeling opportunities for personalization, ranking, and contextual nudges.
• Design, prototype, and validate a wide range of machine learning models, with a deep focus on algorithms for Next Best Action (NBA) and Learning to Rank (LTR).
• Apply your expertise in statistical analysis, causal inference, and experimental design to build and interpret robust A/B testing frameworks, ensuring model improvements are statistically significant.
• Formulate and test hypotheses in an ambiguous problem space, demonstrating a "fail-fast" and iterative approach to model development.
• Collaborate closely with ML Engineers to define model requirements, feature needs from feature stores, and scalable serving logic.
• Research and adapt cutting-edge academic techniques in machine learning, recommendation systems, and optimization to solve real-world business challenges.
• Prototype models for marketing technology use cases, leveraging customer attributes from diverse sources (like Oracle) to prove potential uplift.
• Communicate complex findings and model mechanics clearly to both technical and non-technical stakeholders.

What We're Looking For

• Advanced degree (MSc or PhD) in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist, applying advanced statistical and machine learning techniques to complex business problems.
• A deeply investigative and curious mindset, with a proven ability to navigate ambiguous problems and deliver concrete, data-driven insights.
• Expert-level theoretical and practical knowledge of ML algorithms, including a strong understanding of the mathematics behind models used for ranking (e.g., LTR), recommendations (e.g., collaborative/content filtering, matrix factorization), and decisioning (e.g., uplift modeling, reinforcement learning concepts).
• Mastery of Python and its core data science/ML ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Jupyter).
• Strong experience with SQL and data manipulation, ideally within a cloud environment like GCP BigQuery.
• Experience in designing and analyzing large-scale A/B experiments.
• A proactive, self-starting mentality and exceptional problem-solving skills.

Nice to Have

• Familiarity with the GCP cloud stack, particularly Vertex AI.
• Experience with Datadog or other monitoring tools for analyzing model performance.
• Published research in relevant ML, IR (Information Retrieval), or RecSys (Recommender Systems) conferences.
• Experience applying LLMs for personalization or search tasks.
• Experience with reinforcement learning (RL), especially for NBA or dynamic systems.
• Familiarity with Oracle databases as a data source.

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 exp