field. • 5+ years of experience as a Data Engineer or in a similar role. • Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and more »
field. 8+ years of experience as a Data Engineer or in a similar role. Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and more »
or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes: Candidates must have more »
trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic more »
and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various data sources within enterprise tools (python, pandas, or SQL) to enable application of Data Science methods Create metrics and analytical reports to ensure data quality and business value. Clean, structure and normalize more »
Influencer Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and insight more »
analysis within an e-commerce or online business context. Commercially minded, thinking about ways to increase revenue & profitability. Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel. Grasp of pricing strategies, market dynamics, and consumer behaviour in more »
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Eden Scott
iOS App development using SwiftUI. Desirable experience C/C++ or other OO programming language Signal processing Image processing algorithms Data processing libraries e.g. Pandas, NumPy, SciPy ML & Big Data libraries e.g. TensorFlow or SKLearn Data communication with external devices using UDP/TCP sockets on POSIX compliant systems. TDD more »
experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology more »
on the core analytics and dependency graph services. Requirements Very Strong Python Experience (expected minimum 3+ Years) Strong Experience With Numerical Python (NumPy/Pandas) Experience with Distributed Systems Strong AWS experience (Lambdas ideally) STEM degree (preferred) On Offer Salary up to £90,000 Hybrid working arrangement bonus structure more »
using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of quantitative finance concepts, including asset pricing, risk management, and portfolio optimization. Excellent problem-solving skills and the ability more »
working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes around pricing, promotions more »
degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
planning by defining and owning the machine learning backlog as well as providing estimates for your work. Minimum Criteria Solid programming experience in Python (Pandas), SQL, NoSQL - TDD Previous experience in building large scale data transformation from structured, un-structured and streaming data sources using Python, SQL Experience in any more »
Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling more »
Bedford, Bedfordshire, United Kingdom Hybrid / WFH Options
Understanding Recruitment
CD pipelines alongside architecting and managing cloud infrastructure using TerraformWe'd love to see these skills from you:Proficiency in PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have 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 »
GIS and AI. Strong programming skills in Python and demonstrated experience with ESRI products like ArcGIS. Experience with data-centric Python libraries such as Pandas and GeoPandas for data analysis and geospatial data manipulation. Advanced AI and computer vision expertise, with practical knowledge in using C++, TensorFlow, PyTorch, and OpenCV more »
Bristol, England, United Kingdom Hybrid / WFH Options
Adecco
collaboration, and continuous improvement. Apply today and take the next step in your data science career! KEYWORDS: Python/Cyber Reinsurance/Distribution/Pandas/DataBricks/Quantitative Risk Modelling/Monte Carlo/Copular/Probabalistic/Marginal Modeling 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 »
make a tangible impact in our organization. What experience you’ll need to apply: Solid Python skills with exposure to libraries such as NumPy, PANDAS, spaCy, HuggingFace. Exposure to SQL Experience working in start-up/scale up businesses or small teams. Data visualization experience with either Tableau, Looker or more »
