engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services More ❯
Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or Geography. Relevant industry sector knowledge ideal but not essential. A strong communicator More ❯
Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator More ❯
to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity More ❯
JS), and TypeScript (TS). Statistical Knowledge: Solid understanding of statistical concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
JS), and TypeScript (TS). Statistical Knowledge: Solid understanding of statistical concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for More ❯
in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for More ❯
using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau/PowerBI Lead the presentation of findings to clients through written documentation, calls, and presentations More ❯
using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau/PowerBI Lead the presentation of findings to clients through written documentation, calls, and presentations More ❯
using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Actively seek out new opportunities to learn and develop Be an example of data science best-practice e.g. Git/Docker/cloud deployment More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
of the strengths and weaknesses of Generative LLMs. Fundamental knowledge of ML, AI, NLP, and Large Language Models (LLMs). Proficiency with Python and Jupyter Notebooks. In-depth knowledge of cloud platforms such as AWS, GCP, and Azure. Technical Skills – Good to have Expertise in frameworks like TensorFlow, Pytorch, or More ❯
weaknesses of Generative LLMs. Fundamental knowledge of ML, and basic understanding of AI, NLP, and Large Language Models (LLMs). Proficiency in Python and Jupyter Notebooks. In-depth knowledge of cloud platforms like AWS, GCP, and Azure. Technical Skills – Good to have: Expertise in frameworks such as TensorFlow, PyTorch, or More ❯
science roles or similar Strong coding ability across Python and SQL, with a proven experience of analysing data in a corporate environment Experience using Jupyter notebooks and version control within a team using Git. High understanding and extensive experience using machine learning techniques e.g. regression, classification, clustering, graphing networks Experience More ❯
science roles or similar Strong coding ability across Python and SQL, with a proven experience of analysing data in a corporate environment Experience using Jupyter notebooks and version control within a team using Git. High understanding and extensive experience using machine learning techniques e.g. regression, classification, clustering, graphing networks Experience More ❯
Collections, and Operations teams What You'll Need Excellent SQL skills Problem-solving drive using data Proficiency in Python data science tools (pandas, NumPy, Jupyter, Plotly/matplotlib) Bonus skills include familiarity with Git, data visualization tools (Tableau, Looker, PowerBI), DBT, and 2-5 years of experience in consumer credit More ❯
in Spark, SQL, and programming languages like Python, Scala, or Java. Experience in building Lakehouse architectures using open-source table formats and tools like Jupyter notebooks. Knowledge of security best practices in cloud environments, including Azure Key Vault, IAM, and RBAC. Ability to integrate and transform data from various sources More ❯
others. Proficiency in Spark, SQL, and Python/Scala/Java. Experience in building Lakehouse architecture using open-source table formats and tools like Jupyter Notebook. Understanding of security best practices, including Azure Key Vault, IAM, RBAC, and monitoring tools. Ability to integrate, transform, and consolidate data from various sources More ❯
series analysis, econometrics, and machine learning techniques Strong Python and SQL skills with experience in numerical computing and statistical analysis Experience using notebooks (e.g. Jupyter), Tableau or other data science tools for analysis and visualization A self-starter, with a track record of working independently and achieve targets in a More ❯
NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) 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, such as standardisation, normalisation, and handling missing data Solid understanding of summary More ❯
the ability to deliver timely solutions to portfolio and risk managers within the firm. Mandatory Requirements 3+ years Python development experience (pandas, numpy, polars, jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database technologies BA or More ❯
