26 to 50 of 52 Remote Pandas Jobs

Experience delivering data science or data engineering solutions into production. You're comfortable writing production-grade code, not just notebooks. Strong Python and SQL skills, including the basic libraries (Pandas, Numpy, ScikitLearn). You value writing clean, maintainable, and tested code. Proven ability to design, build, and maintain data pipelines and tools from scratch that are reliable, maintainable, and scalable. More ❯

Well-versed in Python. Strong team player. Strong communication skills. Software Developer tech stack: Python > 3.5 with type hints, data classes, and Flask REST API. Postgres for relational data, Pandas for data analysis, and Google Cloud Pub/Sub for messaging. Cloud Build for automated builds, and Cloud Run/Docker for containerisation. Google Cloud Platform is used for infrastructure. More ❯

experience in data science or a quantitative academic field. Strong programming skills, with the ability to quickly become fluent in Python. Deep knowledge of core data science libraries (NumPy, Pandas, Scikit-Learn) and at least one deep learning framework (TensorFlow, PyTorch, or similar). High mathematical and statistical competence, with the ability to design new algorithms when needed. Experience leading More ❯

A proactive approach to problem-solving and collaboration, with the ability to work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale More ❯

and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you 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 ❯

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 ❯

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 ❯

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 ❯

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 Strong 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 ❯

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 Strong 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 ❯

Shape key product and business metrics The Person Experience in a data/product/business analyst role (ideally in tech 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 ❯

years' experience in a hands-on data science or advanced analytics role. Proven experience with Microsoft Fabricand Power BIin a production environment. Strong skills in Python (e.g. Pandas, scikit-learn, NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At this point More ❯

in a senior data science or quantitative academic position Strong Python programming skills, with the ability to write production-grade code Proficiency in core data science libraries (e.g. NumPy, Pandas, Scikit-learn) and familiarity with at least one deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised learning More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not a comprehensive More ❯

or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not a comprehensive More ❯

working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch More ❯

working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch More ❯

Strong interest in data science, statistics, or analytics. Good problem-solving and communication skills. Preferred Qualifications: Prior coursework, certification, or personal projects in data analytics. Familiarity with libraries like Pandas, Matplotlib, or tools like Excel. Understanding of basic machine learning or data visualization concepts. Internship Details: Duration: 3 months Hours: 15–20 hours/week (flexible timing) Stipend: This is More ❯

analytical thinking. Ability to work independently in a remote setup. Preferred Qualifications: Exposure to visualization tools like Power BI, Tableau, or Looker. Experience with Python for data analysis (e.g., Pandas, Matplotlib). Previous academic or personal projects involving data interpretation. Internship Details: Duration: 3 months Hours: 15–20 hours/week This is a paid internship. A stipend will be More ❯

pricing strategy alongside product and business teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently on complex mathematical problems. - Research-led mindset with a passion for optimisation. Desirable: - Experience with More ❯

pricing strategy alongside product and business teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently on complex mathematical problems. - Research-led mindset with a passion for optimisation. Desirable: - Experience with More ❯