Remote Data Jobs · Python

This role sits at the intersection of data analysis, machine learning operations (MLOps), and client insight delivery — combining technical depth with analytical storytelling. You’ll work end-to-end across the ML lifecycle: from data collection and cleaning, through model monitoring and deployment, to developing analytical dashboards that drive meaningful client insights. The role offers the perfect balance of impact and autonomy.

We are looking for a Senior Data Engineer to join our team to help us power up the traveller's journey for millions of holidaymakers. If you are passionate about using data to improve business performance and enjoy challenging projects, you might be the perfect fit for this job.

At Enveda, this Data Science Intern role drives impact by delivering hope to patients. Your expertise in data analysis, machine learning, and computational biology will be critical in accelerating our mission to develop data-driven solutions tailored toward the drug discovery industry.

Design, implement, and maintain optimal database schemas for relational (MariaDB) and NoSQL (MongoDB) databases. Monitor and tune performance across all platforms to ensure optimal performance. Implement access controls, encryption, and database hardening techniques. Support and optimize ETL pipelines between MongoDB, MariaDB, and Databricks. Troubleshoot incidents, resolve outages, and perform root cause analysis.

We are seeking a skilled and motivated Artificial Intelligence Engineer to join our team. This role offers the opportunity to design, build, and deploy advanced artificial intelligence solutions across a variety of projects. You will work with large datasets, machine learning models, and cloud technologies to deliver innovative, high-impact results.

Pinpoint the key opportunities for optimizing costs and reducing carbon impact, teaming up with Engineering to propel them forward. This role provides insights that directly influence Procurement and Technology Infrastructure strategies, shaping how Spotify invests in and scales its infrastructure. You'll take ownership of our cloud carbon emissions reporting methodology and tooling, ensuring it continues to evolve in close collaboration with the Head of Climate and Sustainability.

The Data Platform Engineering team is building the foundation for a best-in-class decision engine—empowering data scientists, machine learning engineers, and analytics teams to deliver insights and intelligence at scale. As a Data Platform Engineer, you’ll design, build, and evolve the infrastructure and tooling that enable our internal teams to move fast, work efficiently, and make data-driven decisions.

The Analytics Engineer II is responsible for building, maintaining, and optimizing data pipelines, models, and analytics frameworks that enable data-driven insights and strategic decision-making. This role will focus on integrating and analyzing key operational and customer experience data from Salesforce (SF), survey platforms, communication tools and Learning Management Systems (LMS). The Analytics Engineer II will work across medium-complexity data sets that support singular product lines.

Fetch is looking for a Senior Data Scientist to develop and scale its data science capabilities. This role involves architecting and operationalizing production-ready models that influence Fetch’s product strategy, personalization systems, and business outcomes. The role requires partnering cross-functionally with Product, Engineering, Marketing, and Data Product teams to transform complex datasets into measurable business impact through experimentation, predictive modeling, and data-driven decision-making.

You’ll lead a high-caliber team building and operating large-scale, production AI systems that power critical business functions, acting as a player-coach who pairs deep technical execution with ownership of strategy, architecture, and standards. You’ll work directly with the Chief Data Officer and senior leadership at one of the most advanced organizations applying AI to consumer lending.