London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience. This is a unique opportunity to join a visionary team redefining More ❯
Employment Type: Full-Time
Salary: £140,000 - £160,000 per annum, Inc benefits
etc.), state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit-Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data) Solid understanding of statistics; hypothesis testing, probability distributions, sampling techniques Private Health More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series More ❯
West London, London, England, United Kingdom Hybrid / WFH Options
Bond Williams
scripts and visualizations to explore and summarize biological experiment data. Apply statistical techniques (e.g. descriptive statistics, t-tests, ANOVA, regression) to help interpret experiments Create reproducible analysis workflows using Jupyter, Python, and associated libraries. Work with scientists to understand experimental goals and tailor analyses accordingly. Document analyses and communicate findings in a clear, concise manner. Collaborate with the data engineering … statistics: distributions, hypothesis testing, confidence intervals, regression. Experience working with structured datasets Ability to produce clear, well-commented code and visual outputs (e.g. plots, dashboards). Comfortable working in Jupyter Notebooks and collaborating with experimental teams. A degree (BSc or MSc) in a quantitative field such as Biology, Bioinformatics, Statistics, Data Science, or related discipline. There is an excellent salary More ❯
