Senior Data Scientist - Personalisation

Work where work matters.

Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA.

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.



Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.



Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.



We look for people who embody:

Innovation to solve the hardest problems.

‍Accountability for every result.

‍Integrity always.

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.

Requirements

As a Senior Data Scientist, you’ll:

• 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.

Things that will make you stand out:

• 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.

Benefits

Diversity and Inclusion

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.