18 Pandas Jobs in East London

Job DescriptionPython Application DeveloperIndustries: Energy/Oil & Gas/Financial Services/Commodities/TradingLocation: LondonJob Type: Full-TimeSalary: Up to £120,000 base salary + benefits/bonusThe Role:We're delighted to have partnered with an industry-leading more »

ideal candidate should have the majority of the following:Bachelor's degree in Computer Science, Engineering, or a related field.Strong Python development. Experience with Pandas is desirable.3+ years of experience in data engineering.Experienced in building ETL data pipelines.Relational database experience w/PostgreSQL.Understanding of tech within our stack: AWS/ more »

and then turning those insights into practical modelling solutions that can deploy to production.About youStrong Python experience, including DS libraries such as NumPy, SciPy, Pandas, Seaborne/MatPlotLib etcExperience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial exploratory data more »

one or more relevant database technologies e.g. Oracle, MongoDBProficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, ReactFamiliarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patternsPersonal Attributes:Candidates must have a strong more »

of data engineering experience.Python and SQL.Cloud technologies, ideally AWS.Columnar database, ideally Redshift.ETL and related practices. Excellent communication skills. Other technologies such as Kubernetes, Terraform, Pandas, EMR. Must be fully eligible to work in the UK, cannot offer sponsorship. more »

with the following experience:Experience building enterprise systems in Python with a high level of Python fluency (mandatory)Core Python (mandatory) (mandatory)SQL (mandatory)Pandas, NumPy, SciPy etc (preferred)Cloud experience (preferred)TDD (mandatory)Experience writing clean, maintainable code (mandatory)Front office experience (preferred)This is an initial 12 month more »

working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask.Frontend: React, Next.js.Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases.Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect.Who you areMust haves:Experience using Python with one more »

SQL, working with large and complex data sets to extract insights and identify trendsAdvanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and GitA strong background in machine learning for customer and marketing purposes around pricing, promotions, recommendations more »

markets, trading dynamics, and market microstructure.Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow).Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data.Knowledge of trading platforms, order execution systems, and electronic trading protocols.Excellent more »

Influencer Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology”OUR DATA STACK:Our main technologies are:Python (ScikitLearn, Pandas, Numpy, Scipy)PostgreSQLGoogle CloudKEY REMIT:Your responsibilities will fall across two areas:Creating algorithms and using existing technology to generate reports and insight more quickly more »

understanding complex multi-layered "location" data.The Tools You'll Be Using:You'll be working in a cloud-first Google Cloud Platform environment.Using Python (Pandas) for Data Manipulation.Leveraging Python further for ML-based algorithms.The Experience You Need:You will bring 2-3 years of experience as a Data Scientist.Proficiency in more »

methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python requiredunderstanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practiceswith a modern ML/Data/Cloud engineering technical stackIf you’re interested in this more »

of experience developing AI-based productsExperience of developing using Computer Vision3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.),Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not an essential more »

or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deploymentExceptional communication skills, able to engage confidently with non-technical stakeholdersExperience resolving operational or customer more »

the officeSalary range: £50,000-£70,000 + benefitsPurpose: Design, build, and maintain scalable data architectures, including pipelines andcloud-based data warehouses.Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/TableauIndustry: Fintech, Maritime tradingImmersum are supporting the growth of a specialist consultancy who … machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech:Python: Strong proficiency, including experience with libraries like Pandas and NumPy.SQL: Advanced skills in complex querying and data manipulation.Data Modelling: Proven ability in designing efficient models for scalability and performance.ETL Processes: Deep expertise in more »

London, EC4M 8ADWorking Arrangements: Hybrid (2-3 days p/w in office)Salary: £120,000 – £130,000Industry: Consultancy/FinanceTech Stack: Python, SQL, Pandas, Numpy 👩🏻‍💻Great opportunity for a talented Developer (Python, SQL, Pandas, Numpy) to join a tech consultancy that deliver greenfield platforms for their clients.The Company 🚀Renowned … investment banks in the world, they operate across the globe and a renowned household name.The Role ✨They are seeking a skilled Developer (Python, SQL, Pandas, Numpy) to join a Front Office equity trading team.This is a great opportunity to join a Front Office team (Python, SQL, Pandas, Numpy), working directly … Python (Django or FastAPI a plus but not a requirement)SQLPandas, NumpyPostgres, MongoDBBenefits 🏖10% matched pensionHealth InsuranceIf you are a skilled Developer (Python, SQL, Pandas, Numpy) who is interested in this role then please apply below and I will be in touch with more details. more »

Job DescriptionData Scientist/Analyst - London - Hybrid - £50,000-£60,000SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, MatplotlibPlease note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be considered).I'm … making platform.They are on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python (Pandas, NumPy etc.), Machine Learning, client-facing skills - does that sound like you?The role involves hybrid working (every Monday and Tuesday in the office and … please apply above or get in touch at tom.hannah@opusrs.com.Data Scientist/Analyst - London - Hybrid - £50,000-£60,000SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib more »

production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly collaborative more »