analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a more »
analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a more »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a hybrid position. Candidates who cannot travel to City of London location 2 times more »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication skills, Fluency in English is required more »
Ability to work effectively in a fast-paced, collaborative environment. Strong communication and interpersonal skills. Preferred Qualifications: Experience with financial modeling libraries (e.g., QuantLib, pandas, numpy). Knowledge of regulatory requirements such as Basel III, Dodd-Frank, and CCAR. Familiarity with database systems and querying languages (e.g., SQL). Demonstrated more »
one or more relevant database technologies e.g. Oracle, MongoDBProficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, ReactFamiliarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patternsPersonal Attributes:Candidates must have a strong more »
limit, or sponsorship Analytical background, as evidenced by a STEM degree in a technical subject Competencies in Python and the Python data science ecosystem (pandas, numpy, scikit-learn etc.) or highly transferable skill analogues Experience developing and evaluating models using at least one of the following technologies: —- Gradient-boosted decision more »
skills have experience of working with data related topics such as, but not limited to: Workflow Orchestration platforms (Such as dagster.io) Data Engineering R Pandas Snowflake Data Catalogs Data Dashboarding SQL AI/ML Distributed/Parallel processing We welcome all levels of expertise, from junior to experienced professionals, to more »
to the development of robust and maintainable research software. Some recent projects include a framework for epidemiologists to model disease dynamics in Malawi (Python, Pandas, Azure Batch, GitHub Actions), a dashboard for patients’ vital statistics in a hospital critical care ward (JavaScript, React, Python, FastAPI) and a framework to benchmark more »
and technology Apply knowledge of existing audit methodologies Liaison with audit teams and audit clients to develop innovative approaches Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python); Data visualisation experience (eg PowerBI, Tableau) Understanding of common data quality issues more »
. Database querying, load, update, and transformation using SQL . Substantial experience with using Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. more »
include designing and constructing robust data pipelines using the best of open-source data engineering and scientific Python toolset. Tech Stack: Airbyte AWS Glue Pandas Pyspark Delta Lake PostgreSQL The team follows agile ways of working and you engage with various stakeholders across the business. The role is Hybrid more »
of data engineering experience.Python and SQL.Cloud technologies, ideally AWS.Columnar database, ideally Redshift.ETL and related practices. Excellent communication skills. Other technologies such as Kubernetes, Terraform, Pandas, EMR. Must be fully eligible to work in the UK, cannot offer sponsorship. more »
Python and SQL. Cloud technologies, ideally AWS. Columnar database, ideally Redshift. ETL and related practices. Excellent communication skills. Other technologies such as Kubernetes, Terraform, Pandas, EMR. Must be fully eligible to work in the UK, cannot offer sponsorship. more »
Experience as a Data Analyst/Data Scientist working with vast quantities of raw data Experience with Python, including libraries such as NumPy, SciPy, Pandas etc. Any Medical Device Software experience and understanding of ISO 13485 would really set your application apart! What Next? If you’re a Data Analyst more »
performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and more »
with data in Excel or in a database such as MySQL. Working Python experience, including a strong understanding of common libraries such as numpy, pandas, and scipy. Comfort with Linux and command line tools is essential. Meticulous attention to detail to ensure that all aspects of our data are correct. more »
with data in Excel or in a database such as MySQL. Working Python experience, including a strong understanding of common libraries such as numpy, pandas, and scipy. Comfort with Linux and command line tools is essential. Meticulous attention to detail to ensure that all aspects of our data are correct. more »
optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested more »
methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python requiredunderstanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practiceswith a modern ML/Data/Cloud engineering technical stackIf you’re interested in this more »
Requirements: Minimum of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills more »
working with data in Excel or in a database such as MySQL.Working Python experience, including a strong understanding of common libraries such as numpy, pandas, and scipy.Comfort with Linux and command line tools is essential.Meticulous attention to detail to ensure that all aspects of our data are correct.Desirable Skills and more »
with data in Excel or in a database such as MySQL. Working Python experience, including a strong understanding of common libraries such as numpy, pandas, and scipy. Comfort with Linux and command line tools is essential. Meticulous attention to detail to ensure that all aspects of our data are correct. more »
in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one more »
React Conatinerisation and IaaC: Docker, Terraform Databases: PostgreSQL, TimescaleDB & NoSQL Databases At least one major cloud platform (GCP Preferred) Familiarity with Python including NumPy, Pandas The Company A well backed start up who bring together huge experience within their space and are delivering a game changing platform within the Green more »
