Remote Data Jobs · Python

Join a role for dynamic financial institution where your core aim is to unlock business insights from large datasets, empowering decision-makers across trading, investment, and research teams with robust analytics and data-driven projects. You will play a pivotal role in improving operational efficiency, developing scalable reporting frameworks, and enhancing performance tracking through advanced financial modeling and dashboard automation.

This crucial role involves managing and mentoring a team of professionals in Data Analytics and Business Intelligence. You will set the data strategy for the organization, driving business growth by transforming data into actionable insights. This role will oversee our analytics and BI ecosystem, built on both Google and Microsoft data solutions, with a clear roadmap to incorporate and lead the Data science and engineering skillsets in the future.

At Vattenfall, the mission is to help customers power their lives in climate smarter ways and enable a fossil free future. As a Data Engineer in the Data Science team, you will join a collaborative and skilled team that drives automation of real business cases through data-driven and Machine Learning-based intelligence. You will design, maintain, and monitor real-time and batch data pipelines, ingest and process external data feeds, and collaborate with Data Scientists and ML Engineers to build and maintain feature pipelines.

As Vanna continues to grow, they’re looking for a Senior Data Engineer to build and mature the data platform capabilities that are foundational to Vanna’s success across several key domains. You’ll work closely with our engineering, product, operations, and clinical teams to develop the technology that enables our community-based teams to provide compassionate care to our members living with severe mental illness.

This role centers on analyzing large-scale research and clinical datasets, developing and validating deep learning models for wearable sensor data, and collaborating with cross-functional teams to translate findings into production features and scientific publications. Your work will directly contribute to improving health outcomes for Oura members.

Come to work each day with an inclusive and collaborative business technology team. As a Senior Business Intelligence and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. Foster strong relationships with key business stakeholders and clients and work with cross-functional teams.

We are seeking a Data Scientist to join our team at BMG Money. This role is crucial for transforming large, complex datasets into strategic insights that drive decision-making across various functions. The successful candidate will be responsible for independently developing, validating, and supporting the implementation of predictive models, machine learning algorithms, and advanced dashboards. This role requires strong technical mastery and the ability to work collaboratively to deliver solutions.

As a Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success efforts. You will collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.

As a Product Analyst, you'll use data to improve product KPIs and enhance both customer experience and business results. You'll work cross-functionally to deliver impactful, value-driven solutions. You'll own and structure data, define and track meaningful Product KPIs, and drive strategic decisions. You'll also design and maintain dashboards in Tableau to monitor performance of the metrics that matter.

Support development and maintenance of data systems used in healthcare and TPA claims processing. Assist with building and troubleshooting data pipelines while ensuring data accuracy across on-prem and cloud environments. Split time between pipeline development (50%) and operational support tickets (50%) for well-rounded experience.