Utilize existing and new datasets to develop significant insights and decision support tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets more »
for improvement. Qualifications Maths/Computer Science/Engineering Masters or PhD from a top-ranked institution Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest more »
for improvement to implement practical solutions. Key Requirements Background in Python Development from an engineering or development environment Experience with Airflow, Cloud (AWS) and Pandasmore »
implementation of systematic strategies in production, build tools to monitor strategies, build research infrastructure - with a heavy focus on data engineering. Tech stack: Python, Pandas, AWS, Kafka Requirements: Bachelors or Masters in an engineering or quantitative subject Strong Python production coding skills (deployed to AWS) Strong data engineering skills (e.g. more »
Python Experience using front-office pricing libraries Comfortable with relational and timeseries databases Exposure to distributed systems and messaging (e.g. Kafka) Comfortable with Numpy, Pandas and Jupyter Highly self-motivated, willing to take initiative and make technical decisions 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 »
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 »
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 »
Ability to create and implement both logical and physical data models. Mapping Specifications : Competence in creating detailed mapping specifications. Python : Knowledge of Python, particularly Pandas, for data analysis. Looker Core/LookML : Experience with Looker Core or LookML (not Looker Studio). User Acceptance Testing (UAT) : Proficiency in planning and more »
and MSCI Significant experience with building robust data-oriented solutions in Python, including web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience more »
Senior Data Scientist you will have: At least 4 years Python programming experience At least 4 years experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) Experience applying models to Big Data 2 years experience building CI/CD pipelines using Kuberentes Exerience deploying to cloud (We use GCP more »
Senior Data Scientist you will have: At least 4 years Python programming experience At least 4 years experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) Experience applying models to Big Data 2 years experience building CI/CD pipelines using Kuberentes Exerience deploying to cloud (We use GCP more »
do for insurers, you don’t have to be an actuary though! You’re happy working in Python, ideally you have significant experience using Pandas in Python. Experience using R and R’sTidyverse packages would be beneficial but is not essential Track record of applying statistical and machine learning techniques more »
Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform are in … deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could … please apply below and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary more »
Regression, Random Forest, XGBoost) and modern deep learning algorithms (e.g., BERT, LSTM). Strong knowledge of SQL and Python's data analysis ecosystem (Jupyter, Pandas, Scikit-Learn, Matplotlib). Advanced Techniques : Familiarity with ensemble methods like bagging and boosting. Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling more »
microservices, workflow orchestration, relatively straightforward but with an unusual set of constraints). Knowledge of one of more of the following technologies: Python (sqlalchemy, pandas, fastapi); Typescript (React, Vue); SQL (MSSQL). more »
Birmingham, West Midlands, West Midlands (County), United Kingdom Hybrid / WFH Options
Akkodis
solutions working closely with clients to help them achieve their perfect solution! Tech wise you'll love coding in Python and have exposure to Pandas and NumPy. Your database experience will be in MySQL and you'll also be a Cloud enthusiast using AWS as a platform (Lambda and CloudTrail more »
Birmingham, Dickens Heath, West Midlands (County), United Kingdom Hybrid / WFH Options
Big Red Recruitment Midlands Limited
fortnight ideally. What we want from you. A minimum of one year of experience Python coding expeirence Experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Experience using GIT, or other codebases. Dat Science or Mathematics degree would be beneficial, but more »
