126 to 150 of 210 Pandas Jobs in the UK

and successfully. You're confident in owning the process independently, from problem formulation to monitoring impact in production Technical Proficiency: Strong Python and experience with ML libraries (e.g., Scikitlearn, Pandas, LightGBM), plus working knowledge of cloud infrastructure and data tools (Snowflake, DBT, Omni) Structured Thinking: You use a clear and repeatable process to approach ML problems, including problem formulation, KPI More ❯

systems, with strong understanding of RAG workflows, including indexing, retrieval, and integration with language models. Technical Proficiency : Advanced proficiency in Python and experience with data manipulation and analysis libraries (Pandas, NumPy, SciPy), along with strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Commercial Acumen : Deep understanding of product dynamics, market needs, and commercial considerations essential for More ❯

requirements for data pipelines and feature engineering Promote best practices in data science, model validation, documentation, and reproducibility Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A More ❯

not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

and vice versa. Proven experience of change management skills. Core technical skills: Strong knowledge of data science fundamentals (Machine Learning methods, Statistics). Fluent in common analytics tools (Python, Pandas, Numpy, ScikitLearn, SQL, etc.) Comfortable to use data visualization libraries (e.g. Seaborn, Matplotlib) Demonstrated initiative, judgment and discretion while handling sensitive information Preferred Qualifications: If you have the following characteristics More ❯

engineers, data analytics/scientists on the development of analytics, insight and marketing model development. Data manipulation, cleaning and analysis : Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in data processing to enable accurate analytics as well as effective model creation. Ability to More ❯

engineers, data analytics/scientists on the development of analytics, insight and marketing model development. Data manipulation, cleaning and analysis : Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in data processing to enable accurate analytics as well as effective model creation Ability to More ❯

Qlik Sense. Experience in Sales & Underwriting KPI delivery or working understanding of performance indicators within Commercial Insurance. Has professional experience with data engineering Any Dataframe API (like Spark or Pandas) and SQL Knows Java and/or Scala well, functional programming experience is a plus Knowledge of scripting languages, such as Python, R, bash Experience working on all stages of More ❯

deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of various backgrounds, levels, and functions. Experience in conducting and analyzing AB tests in an More ❯

you We believe that no one is the finished article, however, some experience in the following is important for this role: Strong Python skills and experience with data pipelines (pandas, SQLAlchemy, Airflow) Deep understanding of modern AI (RAG, agentic AI, MCP, vector databases) Skilled in designing scalable data architectures and working with structured/unstructured data How We Work (This More ❯

you We believe that no one is the finished article, however, some experience in the following is important for this role: Strong Python skills and experience with data pipelines (pandas, SQLAlchemy, Airflow) Deep understanding of modern AI (RAG, agentic AI, MCP, vector databases) Skilled in designing scalable data architectures and working with structured/unstructured data How We Work (This More ❯

insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to translate complex insights for non-technical More ❯

insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to translate complex insights for non-technical More ❯

and compliance to drive data-informed decisions What we're looking for: 4-8 years experience in data science, ideally in fintech, payments, or crypto Strong SQL + Python (Pandas, NumPy, scikit-learn) and experience with BI tools Ability to analyze complex datasets - from internal ledgers to on-chain activity Stablecoin or crypto analytics experience is a big plus Strong More ❯

to display the following: At least 3 years commercial experience in a similar role - Data Analyst or Engineer Excellent SQL skills including (CTEs and window functions) Excellent Python skills (Pandas) Demonstrable knowledge of warehouses (tables, views & databases) Experience of Power BI Good relationship builder Ability to communicate well with both technical and non-technical colleagues Able to set own agenda More ❯

hands-on, end-to-end, and you'll be working with both structured and unstructured data in a fast-moving, collaborative team. What we're looking for Strrong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Solid understanding of ML algorithms (not just how to run them) Clear communicator across tech and non-tech teams More ❯

experience in machine 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 data science teams. Deep knowledge of media More ❯

experience in machine 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 data science teams. Deep knowledge of media More ❯

Shape key product and business metrics The Person Experience in a data/product/business analyst role (ideally in Product or SaaS) Strong SQL and Python skills (e.g. Pandas, NumPy) and confidence handling large, complex datasets Proficiency with BI tools (e.g. Tableau, Looker, Metabase) Excellent communication and data storytelling skills Comfortable working cross-functionally with technical and commercial teams More ❯

Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯

Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯

Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯

You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯

You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯