role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of More ❯
Excel and Python, SQL. Knowledge of agile methodologies/principles is a plus. Working knowledge and comfort level in using Python (inc. Numpy/Pandas) for data analysis. Job Responsibilities: Carry out data analysis using SQL (and Python as needed) for future feature requests. Support day to day application related More ❯
skills in Python and SQL, with the ability to query databases and manipulate large datasets. Proficiency in key Python libraries for data science, including Pandas, Scikit-learn, Statsmodels, NumPy, SciPy, Matplotlib, TensorFlow, and Keras. Solid understanding of machine learning techniques, such as clustering, tree-based methods, boosting, text mining, and More ❯
and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯
and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯
such as recommendation engines or automated lead scoring systems. They should also be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but by year 3 should be quite proficient with at More ❯
skills and a good understanding of software engineering principles and clean code practices. Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy). Advanced experience with SQL for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine More ❯
to mentor colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully More ❯
to mentor colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully More ❯
and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯
and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯
convolution, attention). Proficiency in Python programming language Expertise in a programming language (Python preferred) Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc. Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc. Experience with applying machine More ❯
growth, marketing, or product-focused roles. Deep understanding of LTV modeling, forecasting, and experimental design. Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Advanced SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing More ❯
and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯
actionable insights. Capability to manage projects end-to-end and produce good outcomes without much supervision. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing More ❯
actionable insights. Capability to manage projects end-to-end and produce good outcomes without much supervision. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing More ❯
skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. More ❯
execute trades in commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯
execute trades in commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯
management. Minimum Requirements: 2+ years of experience as a data scientist. Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. Strong statistical and modeling skills. Strong communication and collaboration skills. Experience in the energy industry is a plus. Benefits: Competitive salary and More ❯
Machine Learning, Data Scientist role, or similar Commercial experience with Machine learning, Deep Learning or Advanced Analytics, and relevant tools Strong background in Python, Pandas/Jupyter and AWS or GCP Good communicator, able to work across multiple teams Desirable skills and technologies Commercial experience in an ecommerce or marketplace More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Spectrum IT Recruitment
Machine Learning, Data Scientist role, or similar Commercial experience with Machine learning, Deep Learning or Advanced Analytics, and relevant tools Strong background in Python, Pandas/Jupyter and AWS or GCP Good communicator, able to work across multiple teams Desirable skills and technologies Commercial experience in an ecommerce or marketplace More ❯
for 'ARIMA models.' Qualifications: A strong background in mathematics, statistics, or a related field Proficiency in Python, with experience using libraries such as NumPy, Pandas, and Scikit-Learn Familiarity with high-frequency trading strategies and market microstructure A passion for solving complex problems and generating profits through clever trading strategies More ❯
Senior Quantitative Analyst – Sports betting Hedge fund – London Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. More ❯
Factory, Synapse Analytics). Proven experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and More ❯
