Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯
Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯
and have in-depth knowledge of how they work. Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn . DevOps: You have experience working with DevOps tooling, such as Kubernetes, Terraform, CI/CD tools and Docker. Cloud: You have worked with cloud-based environments More ❯
and have in-depth knowledge of how they work. Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn . DevOps: You have experience working with DevOps tooling, such as Kubernetes, Terraform, CI/CD tools and Docker. Cloud: You have worked with cloud-based environments More ❯
You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯
You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Church International Limited
years’ experience in a hands-on data science or advanced analytics role. Proven experience with Microsoft Fabric and Power BI in a production environment. Strong skills in Python (e.g. Pandas, scikit-learn, NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At More ❯
pros. 💰 Perks that pop – up to £35 k, 25 days holiday, private medical, EV lease, wellness stipend & 10 % pension. 🛠️ What You’ll Do 🔍 Query, cleanse & model datasets with Python (pandas, NumPy, SQLAlchemy). 📊 Build slick Excel dashboards that make insights jump off the screen. ⚙️ Automate reporting pipelines, spot trends, boost revenue decisions. 🤝 Team up with engineers to surface data in More ❯
years’ experience in a hands-on data science or advanced analytics role. Proven experience with Microsoft Fabric and Power BI in a production environment. Strong skills in Python (e.g. Pandas, scikit-learn, NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At More ❯
analysis of microscopy images Hands-on experience integrating and analysing multi-modal biological data, such as transcriptomics, proteomics, or single-cell data. Proficiency in Python, including libraries such as Pandas, NumPy, scikit-learn Experience analysing deep learning model outputs, especially from vision models and working with biological image embeddings. Ability to evaluate model performance, interpret model outputs, and connect them More ❯
analysis of microscopy images Hands-on experience integrating and analysing multi-modal biological data, such as transcriptomics, proteomics, or single-cell data. Proficiency in Python, including libraries such as Pandas, NumPy, scikit-learn Experience analysing deep learning model outputs, especially from vision models and working with biological image embeddings. Ability to evaluate model performance, interpret model outputs, and connect them More ❯
robustness, interpretability, and business relevance. Requirements Extensive experience in building and deploying Marketing Mix Models, with a strong focus on Bayesian methods. Expert-level proficiency in Python, especially with pandas, NumPy, and probabilistic programming libraries such as PyMC. Experience with R is a bonus, particularly for MMM-related workflows. Deep understanding of regression modelling, Bayesian inference, hierarchical models, and MCMC More ❯
RE LOOKING FOR: 2+ years of experience as a Data Analyst or Data Scientist in IT companies. Proficiency in SQL (BigQuery experience is a plus). Solid Python knowledge (pandas, numpy at least intermediate level). Strong knowledge of statistics and probability theory. Experience with A/B testing analysis. Experience building analytical models. Understanding of cohort analysis approaches. Analytical More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
experienced team members Drive platform improvements through DevOps and Infrastructure-as-Code (ideally using Terraform) Take ownership of system observability, stability, and documentation Requirements Strong experience in Python (especially Pandas and PySpark) and SQL Proven expertise in building data pipelines and working with Databricks and Lakehouse environments Deep understanding of Azure (or similar cloud platforms), including Virtual Networks and secure More ❯
experienced team members Drive platform improvements through DevOps and Infrastructure-as-Code (ideally using Terraform) Take ownership of system observability, stability, and documentation Requirements Strong experience in Python (especially Pandas and PySpark) and SQL Proven expertise in building data pipelines and working with Databricks and Lakehouse environments Deep understanding of Azure (or similar cloud platforms), including Virtual Networks and secure More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
Strong understanding of data warehousing concepts, data modeling techniques, and data mining principles. Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Pandas, Scikit-learn, TensorFlow). Experience with data visualization tools such as Tableau or Power BI. Familiarity with Agile methodologies and MBSE principles is a plus. Excellent communication, interpersonal, and presentation More ❯
a data-driven sector analyst in finance; Working proficiency in Python or R; Proficiency in data analysis, data manipulation, and working with large unstructured datasets. Experience with SQL, Spark, Pandas, or other data analysis libraries; Strong mathematical and statistical skills; In accordance with New York City’s Pay Transparency Law, the base salary range for this role is More ❯
multiple projects on MMM analytics. Experience in pricing and promotion analytics is a plus. Must have experience with Databricks. Implemented Bayesian regression on Python. Exposure to libraries like numpy, pandas, sklearn, pymc3. Hands-on experience in PowerPoint/Excel is a must. Strong logical, analytical, and problem-solving skills. Adept at report writing and presenting findings. Excellent verbal and written More ❯
