726 to 750 of 2,526 Python Jobs in England

approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data ...

clients and collaborate with internal teams. Experience with SQL, monitoring tools, or Grafana is a plus. Some engineering experience would also be advantageous (i.e. Python). ...

fast-paced environment Strong analytical, strategic and problem-solving mindset Highly detail-oriented, curious and commercially aware Confident communicating insight to senior stakeholders Python experience is desirable, particularly for reporting or alerts, but not essential. Additional benefits and information for the role of Finance Analyst: 24 days annual leave + ...

TeamCity and CodeDeploy. You'll also need: A good understanding of machine learning approaches and algorithms Experience using programming and scripting languages, including Python and Bash Financial services knowledge and the ability to identify wider business impact and risk opportunities and to make connections across key outputs and processes Good ...

8+ years of experience in data modeling in the property and casualty insurance industry. Proficiency in SQL, data modeling tools and languages such as Python and UML. Strong analytical thinking is essential for creating efficient and scalable data models that meet business needs. Proven experience as a Data Modeler preferably ...

Physics Excellent logical reasoning and problem-solving ability Experience applying data science or modelling techniques in a commercial environment, or strong academic project experience Python experience is essential, with openness around other tools and technologies Ability to communicate complex ideas clearly and reason through problems out loud Motivated, curious ...

candidate should have the following essential skills A minimum of 11 years of deep Linux experience (20+ years preferred) Advanced proficiency in Bash and Python, with the ability to write bespoke tools to improve system efficiency. Practical experience with AWS or Azure migrations and managing virtualised environments via VMware. ...

Computer Science, Data Science, or a related field (or equivalent experience) Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills ...

maintaining production-grade product features. Data & Pipelines: Experience building ingestion workflows and connecting disparate internal data sources. Stack Versatility: You are highly proficient in Python ( FastAPI ) and TypeScript ( React/Next.js ), with a solid grasp of SQL and GCP . The Profile The Practical Automator: You have a track record ...

engineering or hands-on data architecture, with at least 3 years in a leadership position. Expert level proficiency in Databricks, Azure and SQL/Python, with GCP and BigQuery experience highly desirable. A proven track record of refactoring legacy data estates and migrating them to modern platforms without disrupting business ...

/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools ...

complex technical challenges in a scale-up setting. YOUR SKILLS AND EXPERIENCE Required: 5+ years' experience in data engineering or software engineering roles Strong Python and SQL capability Experience building data platforms in AWS Excellent data modelling fundamentals (non-negotiable) Experience working in smaller companies or growing environments Engineering-first ...

deliver under pressure Comfortable juggling multiple projects and 'controlled chaos' at pace Nice to have Experience integrating Azure AI Services or OpenAI APIs Python exposure, particularly in AI or data-driven contexts Low-code/no-code tools (e.g. Webflow) for rapid prototyping Client-facing experience presenting technical roadmaps ...

teams Ability to operate independently and take ownership of complex problems Strong communication skills, with the ability to explain technical concepts clearly Technical Environment Python (e.g. pandas, scikit-learn, TensorFlow/PyTorch where relevant) SQL and large-scale data processing Cloud-based environments (e.g. AWS, Azure, or similar) Experience with ...

protocols Championing strong development practices, including version control, testing, CI/CD, and documentation Core requirements Proven commercial experience with a modern programming language (Python, Rust, Go, or similar), and the willingness to skill up in languages you're less familiar with Experience building software for the modern web, including ...

Data Engineering Clear, demonstrable experience leading engineers at Lead/Principal level Deep, hands-on GCP experience (this is essential) Strong SQL and Python expertise Experience building cloud-native data platforms end-to-end Strong background in Data Lake/Warehouse architecture Proven experience implementing CI/CD and infrastructure ...

Vault), and secure SDLC integration - PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments - Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them - MITRE ATT&CK coverage mapping; threat hunting, adversary emulation ...

critically assess methodology, limitations, and real-world implications of analytical outputs Confidence communicating complex findings clearly to both technical and non-technical stakeholders Python experience for statistical analysis and reproducible research workflows A PhD or advanced academic background in a relevant field is advantageous, but not essential if you bring ...

their ML infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model ...

models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic AI systems and integrating models with external services Comfortable ...

following: videogame engine technology (e.g., Unreal Engine, Godot), entity or event-based simulation, robotics, and autonomous systems Proficiency in C/C++, familiarity with Python, C#, Zig. Willingness to learn new technologies and programming languages Ability to apply mathematical or statistical methods to scientific or applied challenges Confidence working with ...

container environments Proven experience with tools such as Splunk and Nessus Knowledge of SIEM, observability, and vulnerability management practices Scripting or automation capability (Python, Bash, or similar) Understanding of container security and DevSecOps principles Familiarity with threat frameworks and security best practices Experience with tools such as Microsoft Defender ...

following: videogame engine technology (e.g., Unreal Engine, Godot), entity or event-based simulation, robotics, and autonomous systems Proficiency in C/C++, familiarity with Python, C#, Zig. Willingness to learn new technologies and programming languages Ability to apply mathematical or statistical methods to scientific or applied challenges Confidence working with ...

Private Equity, Venture Capital, or high-growth startups Understanding of SaaS metrics (ARR, churn, NDR, unit economics) Exposure to AI tools, automation, or coding (Python, SQL, JavaScript basics) Ability to bridge technical and business perspectives Interest in buy-and-build/software roll-up strategies What You’ll Get Direct ...

analytics, data science, or growth analytics • Proven experience working across multiple channels (PPC, SEO, content, digital PR) • Advanced skills in data analysis and modelling (Python, SQL essential) • Experience with GA4, BigQuery, Looker (or similar BI tools) • Understanding of ad platform mechanics and APIs (Google, Meta, etc.) • Commercial mindset - able ...