46 to 70 of 88 Pandas Jobs

proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We’re Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation More ❯

or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools, with some exposure to web scraping tools More ❯

or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools, with some exposure to web scraping tools More ❯

large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯

users Present findings and recommendations to non-technical stakeholders 3. Ideal Qualifications 5+ years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong communication skills for More ❯

or related pricing/trading systems Solid understanding of algorithms, data structures, and design patterns Experience with relational and NoSQL databases (PostgreSQL, Redis, MongoDB) Proficiency in data processing using pandas, NumPy , and working with APIs Understanding of CI/CD pipelines and DevOps practices Preferred: Quantitative analysis, financial modeling, or experience with trading systems Familiarity with distributed systems and event More ❯

or related pricing/trading systems Solid understanding of algorithms, data structures, and design patterns Experience with relational and NoSQL databases (PostgreSQL, Redis, MongoDB) Proficiency in data processing using pandas, NumPy , and working with APIs Understanding of CI/CD pipelines and DevOps practices Preferred: Quantitative analysis, financial modeling, or experience with trading systems Familiarity with distributed systems and event More ❯

key strategic initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge More ❯

kinetics. Interest in simulation, modeling workflows, and their application in real-world pharma/biotech contexts. Basic to intermediate Python programming skills, especially with scientific libraries (e.g., NumPy, SciPy, pandas). Nice to Have Experience with Pyomo or CasADi. Familiarity with bioprocesses or pharma case studies. Curiosity about AI, workflow automation, or cloud-based platforms. Soft Skills Proactive, reliable, and More ❯

if you: Have over 3+ years of professional experience in data science or applied analytics. Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have More ❯

experience in ML Engineering or a related field (we value diverse backgrounds!) Strong foundation in software engineering principles and best practices Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, PyTorch) Familiarity with version control systems and CI/CD principles Understanding of statistical models and their evaluation methodologies We encourage applications from candidates of all backgrounds. If More ❯

recommendation. Familiarity with state-of-the-art practice in these domains Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Solid written and spoken communication More ❯

GIS, ArcGIS), remote sensing techniques, and the application of data science in the IC. Expert proficiency in Python (or similar languages) and experience with data science libraries (TensorFlow, PyTorch, Pandas, NumPy). Strong experience with big data processing tools (e.g., Spark, Hadoop, AWS or Azure cloud platforms). Expertise in working with geospatial data formats (e.g., GeoTIFF, Shapefiles, WMS, WFS More ❯

to full time after the internship. Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R. Are an ambitious entrepreneur with a track record of exceptional intellectual achievement. Are a self starter, comfortable taking initiative and working independently in a past faced and dynamic environment. More ❯

practical application (e.g., regression, classification, clustering, time-series forecasting, survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling skills. You can build strong More ❯

house applications for the Derivatives trading desk using Python Implement automated testing with PyTest and ensure code quality through peer reviews Process, analyse, and manipulate data using NumPy and Pandas Manage CI/CD pipelines to ensure stable production environments Utilise Git-based workflows for collaborative development Work closely with team members and stakeholders to deliver user-focused solutions Provide More ❯

Preferred Skill Sets Familiarity with Oracle Exadata Familiarity with SingleStore/Mysql is a big plus Experience with Python, exposure to DB connect libs and others like requests, json, pandas etc Oil and Gas Industry experience Important Point to be Noted: We are specifically looking for candidates with a strong focus on PL/SQL development. Those with extensive experience More ❯

Conduct statistical analysis and hypothesis testing Build and deploy predictive ML models Mentor junior team members What you'll bring 4+ years' experience in data science Strong Python skills (pandas, numpy, PyTorch etc.) Experience with traditional ML techniques and statistical analysis Solid consulting skills - communication, problem-solving, stakeholder engagement Eligible for SC Security Check clearance Benefits: Private medical insurance More ❯

experience setting up CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or GitLab CI, targeting Azure environments. Experience with popular Python libraries and frameworks such as Pandas, NumPy, and PySpark. Benefits Full-time, permanent contract. Competitive salary up to £60,000 per annum, depending on experience. Hybrid working model based in Aberdeen (2 days per week in More ❯

experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI More ❯

experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI More ❯

approaches. Supporting business development and pitch materials. What You’ll Bring Degree in a STEM field (Maths, CS, Engineering). Experience in data science or consulting. Strong Python/Pandas skills. Entrepreneurial mindset and proactive problem-solving. Hands-on machine learning experience. Nice to have: large datasets, data engineering, pricing/optimisation, client presentations, banking/FS experience, plus any More ❯

experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code using advanced data science, ML, and analytics libraries (eg, Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face Transformers, Pydantic ). Document and communicate AI designs, decisions, and experiment outcomes to both technical and non-technical stakeholders. Lead the design and deployment More ❯

Intel AI tools an advantage. Digital Support/IT Support: Windows/macOS, O365/M365, ticketing, troubleshooting, networking basics, hardware/peripherals, customer service. Data: Excel, SQL, Python (Pandas), data cleaning, visualisation, basic analytics; Power BI/Tableau a plus. Confident online facilitator with excellent communication and pacing; able to engage beginners and upskill returners. Prior teaching/training 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 ❯