As a BI Analyst, you’ll be working with our fast-moving AI team that's building an intelligent assistant to transform how medical professionals work. The primary objective is to assist business in making decisions based on data, with a particular emphasis on producing global reports as the primary and most reliable source of information. You will be part of a Data Analytics team of 12 experts providing support to various departments.
Lead and oversee complex statistical analyses, provide high-level strategic recommendations, and guide junior analysts in the execution of observational research. This leadership position combines technical expertise with client-facing responsibilities, allowing the successful candidate to influence key decisions within our client’s RWE and cross-functional teams.
You will be responsible for using data to answer strategic questions and support our business strategy and rapid growth. With a strong analytical and data-driven approach you’ll help our team organize, visualize and understand large data sets relating to various performance marketing channels. This is an exciting opportunity that will allow you to run deep-dive analysis, create regression or segmentation models, build dashboards and generate reporting to drive business growth and draw strategic insights from product, user, and operational data.
The AI Intern Analyst will assist the IT team in leveraging artificial intelligence technologies to enhance data analytics processes, focusing on data collection, analysis, and the application of machine learning techniques to solve business challenges and documentation. This internship involves gathering, analysing and creating documentation and contributing to measuring the usage and adoption of these AI tools within the organization.
As a Pythian Data Scientist, you will be responsible for leveraging your expertise in data analysis, machine learning, and statistical modeling to deliver insights and build predictive models. You will work on both internal IP development and client projects, applying a variety of techniques to solve complex business problems. Additionally, you will use and fine-tune pre-trained models, such as Large Language Models (LLMs), to accelerate development and enhance model performance.
Seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.
Rackner is seeking an experienced and visionary Principal Data Scientist to lead our talented and dynamic team. In this senior leadership role, you will combine technical expertise, business acumen, and leadership capabilities to collaborate with senior stakeholders. Your focus will be to understand and define client needs in Big Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML).
Deliver recommendations and actionable insights to key stakeholders to help drive revenue. Use strong technical and business intuition to optimize GTM motions, ensuring data-driven approaches drive efficiency, revenue growth, and customer acquisition. Solve difficult open ended up problems through novel data solutions and analytics.
Lead the development of data-driven analytics solutions for credit risk, portfolio performance, and investor reporting. Oversee the architecture and development of our data infrastructure, analytics tools, and automated solutions. Collaborate with analysts, data scientists, engineers, and business stakeholders to drive data initiatives. Ensure data integrity, scalability, and compliance with regulatory and investor requirements.
As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart’s success. Partnering closely with our Servicing product management, operations, engineering, and ML teams, you’ll work directly with key stakeholders, helping drive understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy.