Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Behavioural Insights Team
in data-centric projects. Experience in developing and maintaining pipelines and infrastructure for products or applications, at scale. Strong knowledge of the Python Data Science stack (e.g., pandas/polars, scikit-learn). Ability to independently develop and maintain robust Python-based ETL/ELT data pipelines. Ability to independently develop LLM-based tools/products (e.g., RAG workflows). More ❯
data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack Includes: Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data More ❯
data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack Includes: Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data More ❯
and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and follow More ❯
and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and follow More ❯
interest in mentoring junior engineers. Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow). Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, or data.table/R. Experience working with AWS or other cloud platforms. Knowledge of building and monitoring high-performance, concurrent services. Additional Information We offer a Friends of Voleon Candidate More ❯
Proficiency in Git, including knowledge of branching strategies, merge mechanisms, and repository management Demonstrated ability to build and maintain test automation frameworks and CI/CD pipelines Experience with Polars Perks & Benefits Benefits package including Restricted Stock Units (RSUs), family health insurance, and contributions to private pension plans Fitness reimbursement Work anywhere Veeva's headquarters is located in the San More ❯
level experience Advanced skills in Python and strong fluency in SQL Experience working in cloud-based environments (preferably Azure) Hands-on experience with tools such as Postgres, Langchain, Ollama, Polars, GitLab CI/CD, and Unix-based systems Proven track record of deploying ML models into production and managing lifecycle Comfortable designing data services/APIs and supporting self-serve More ❯
and spoken English) - experience leading meetings or sessions would be ideal. An understanding of appropriate communication styles for different client seniorities. Experience with Python (and pyspark/pandas/polars), or another programming language would be beneficial. Differentiators We would particularly like to see applicants who: Can demonstrate a strong proactive attitude towards learning, developing, and improving their skillsets. We More ❯
