6+ years of experience in python scripting. Proficient in developing applications in Python language. Exposed to python-oriented Algorithms libraries such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc. Proficient in SQL programming, Postgres SQL. Knowledge on DevOps like CI/CD, Jenkins, Git. Experience working with AWS(S3) and Azure Databricks. Have experience in delivering project with Agile More ❯
with the ability to write ad-hoc and complex queries to perform data analysis. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). Hands on experience with developing data pipelines for structured, semi-structured More ❯
Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
BDO
with other data scientists to build and deploy production-level solutions Troubleshoot and debug code Work with other teams to understand and solve business problems About you: Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models Machine More ❯
experience and Vector DB experience * Proven experience in time series analysis and forecasting, preferably in a commercial or industrial setting. * Strong proficiency in Python, including libraries such as Pandas, NumPy, and scikit-learn for data manipulation and modelling. * Experience with machine learning algorithms. * Proficient in data visualization techniques to effectively communicate insights from time series data. * Strong problem-solving skills More ❯
