data literacy, preferably with experience as either Business Analyst, BI Analyst, Data Analyst or Process Analyst Strong Data Skills: SQL, spreadsheets, data visualisation/BI tools (e.g. Looker), and Python/R for more advanced analysis. Business Acumen: Understanding of business processes, financial concepts, macroeconomic trends, and industry-specific trends. Analytical Thinking: Ability to identify problems, ask the right questions More ❯
in recommendation and learning-to-rank, and stay current with emerging techniques. You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions. You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch ), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker). Accommodation requests If you need assistance More ❯
to develop almost all of our applications in-house, which gives us unique flexibility and innovative strength. Our tech stack includes modern technologies such as Java, Kotlin, TypeScript and Python, CI/CD pipelines, containers, Kubernetes as well as Azure Cloud, Azure SQL Database and Oracle Database with PL/SQL. Your Role in the team We are seeking a More ❯
Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. Data Tools: Prior experience with tools such as Excel, SQL, Python, Azure, Splunk and WireShark are highly beneficial for this role. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting More ❯
supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and production-ready pipelines Solid experience with SQL for data manipulation Deep understanding of data modelling, ETL processes, and relational databases Experience with big data More ❯
and integrity of data. Happy to contribute and share knowledge amongst their own team and Tes Engineering via knowledge sharing meetings. What You Need to Succeed Strong skills in Python and SQL Demonstrable hands-on experience in AWS cloud Data ingestions both batch and streaming data and data transformations (Airflow, Glue, Lambda, Snowflake Data Loader, FiveTran, Spark, Hive etc.). More ❯
Enjoy working with a diverse group of people with different areas of expertise. You are comfortably organized amongst chaos. Be familiar with our tech stack: TypeScript, React, styled-component Python PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytes AWS, GCP Kubernetes, Docker, Terraform, GitHub, CircleCI Next.js (Preferred) AR/VR (Preferred) Embrace differences and know that when we can More ❯
data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing. Understanding of data privacy, consent management, and regulatory compliance. Excellent communication More ❯
decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google. Know More ❯
Qlik Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Demonstrated ability taking a logical approach and applying critical thinking skills in order More ❯
data modelling skills, including dimensional modelling and handling slowly changing dimensions. Strong CI/CD skills to automate the development lifecycle: proficiency with Github Actions preferred. Advanced proficiency in Python for data engineering tasks. Experience with data orchestration tools such as Airflow, Dagster, or similar. Solid understanding of data governance, security principles, and privacy best practices, ideally in regulated or More ❯
experience in a hands-on technical role, such as software engineering, data engineering, technical consulting, or data science. Strong programming proficiency in at least one general-purpose language (e.g., Python, Java, C++, Go). Top-tier consulting experience preferred with technical expertise. Proven ability to deconstruct complex, unstructured problems and design elegant, technical solutions. Exceptional communication and interpersonal skills, with More ❯
or engineering or equivalent experience 6 to 7 years of professional experience in a data engineering/analytics role Experience with building and managing KDB based data.analytics Experience with Python/Java/C++ based large scale streaming data analytics and storage solutions Experience with Equities transaction and market data, Transaction Cost Analytics Strong communication skills and the ability to More ❯
for prescriptive and predictive modelling Explore ways to enhance data quality and reliability Collaborate with data scientists and analysts on several projects Requirements Knowledge of programming languages (e.g. Java, Python) Hands-on experience with relational databases (like PostgreSQL) and data warehouses (like AWS Redshift) Familiar with data modeling and data governance concepts, and agile methodologies Familiarity with industry toolsets: Stitch More ❯
performance against business goals • Deliver training sessions for the Data Science community in your specialist area Requirements of the Role TECHNICAL SKILLS REQUIRED • Have very strong programming skills in Python, SQL and PySpark • Intermediate Knowledge of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement More ❯
into a better-rounded professional. BASIC QUALIFICATIONS - 10 + years of strong hands-on experience in technical consulting and experience with at least one Programming language such as Java, Python , C# with solid foundations in OOAD and system design - Past experience of independently leading a team that delivers working software systems consisting of multiple features spanning the full software lifecycle More ❯
you're missing any particular tooling experience; we have plenty of incredible developers at Octopus Energy who are willing to teach if you're willing to learn! Required experience: Python Git Nice to have: SQL dbt Github CircleCI Airflow Kubernetes Terraform A Cloud warehouse provider e.g. Databricks, GCP, Snowflake AWS We aren't necessarily looking for someone who is More ❯
or demonstrated competence in OLTP systems along with one of Azure, AWS or GCP cloud providers Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL Excellent communication skills; both written and verbal Experience in pre-sales selling highly desired About Databricks Databricks is the data and AI company. More than 10,000 organizations More ❯
and large scale project management experience - Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - Experience with automation and scripting (e.g., Terraform, Python) - Expertise in performance optimization and cost management for cloud environments - Ability to manage multiple projects and priorities in a fast-paced environment - AWS Professional level certifications (e.g., Solutions Architect Professional More ❯
development lifecycle. Experience with APIs or working with different data sources. Desirable: Experience with Azure technologies . Certification in Power BI/Data Engineering , Azure fundamentals . Familiarity with Python, Pandas, or ML concepts (a plus, but not required ). Worker Type: Employee About Us Cubic creates and delivers technology solutions in transportation that make people's lives easier by More ❯
/ML technologies and evaluating their strategic value Qualifications Experience Extensive experience in data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency More ❯
Service - Familiarity with containerization of Spring Boot applications using Docker - Exposure to Generative AI coding assistants such as Amazon Q Developer, GitHub Copilot - Experience with automation and scripting (e.g., Python, Shell scripting) - Experience in mainframe database migration to cloud databases (e.g., DB2 to Amazon Aurora) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Conduct technical workshops, training sessions, and More ❯
What You'll Bring 5+ years of experience in data science experience . Experience with supervised learning , unsupervised anomaly detectio n , or similar quality assurance domains. Strong proficiency with python or a similar language. Proven experience of automating model training pipelines using cloud services . Working experience/knowledge of CI/CD pipelines , IAC and git version control. Excellent More ❯
yourself apart: Deep understanding of PAM principles and best practices. Strong knowledge of identity and access management (IAM), security frameworks, and regulatory requirements. Proficiency in scripting and automation (PowerShell, Python, etc.) for PAM tasks. Excellent problem-solving skills and ability to work under pressure. Strong communication and documentation skills. What's in it for you At Accenture in addition to More ❯
