Role Description Wir suchen zum 01.06.2026: Praktikant*in im Bereich Scouting von Fußballspieler*innen. Du willst im Fußball arbeiten, Talente erkennen und aktive Spieler rekrutieren? Dann bekommst du hier die Möglichkeit, echtes Scouting in der Praxis umzusetzen. - Identifikation und Bewertung von Talenten auf regionalen Sportplätzen - Direkte Ansprache von geeigneten Spielern - Teilnahme an Turnieren und Auswahlverfahren Qualifications - Du bist kommunikativ und kannst Menschen mit deiner aufgeschlossenen Art begeistern - Auf fremde Menschen zuzugehen und sie in ein Gespräch zu verwickeln, schreckt dich nicht ab - Regionale Reisebereitschaft ist für dich überhaupt kein Problem - Du arbeitest selbstständig, strukturiert und zielorientiert - Du bist verantwortungsbewusst Benefits - Die Möglichkeit dein Scoutingplan selbstständig zu organisieren - Eine umfangreiche & individuelle Einführung – wir lassen dich nicht im Regen stehen - Einen Teamleader, der dich aktiv unterstützt und deine Stärken fördert Company Description Beratung und Betreuung von Sportlern sowie die Zertifizierung angehender Talent Scouts.

• Develop and lead machine learning and generative AI solutions • Design and implement applications using LLMs and agent-based architectures • Translate business problems into scalable analytical and AI solutions • Build and validate statistical and machine learning models • Apply advanced feature engineering techniques • Develop data pipelines in partnership with engineering • Implement RAG strategies and tool orchestration • Evaluate, monitor, and optimize model and LLM performance • Ensure quality, reliability, and continuous improvement of solutions • Work with multiple models, balancing cost and performance • Collaborate with engineering, data, and product teams • Communicate results and insights clearly to stakeholders.

The job profile for this position is Business Analytics Senior Advisor, which is a Band 4 Senior Contributor Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. The Clinical Analytics team is expanding how data analytics improves health care—making it more personalized, transparent, and affordable. As a Senior Data Scientist, you will lead health services research that shape clinical programs, inform strategy, and demonstrate measurable value for customers and patients. This role is ideal for an experienced analytics professional who enjoys translating complex healthcare data into clear insights that influence real-world decisions. Responsibilities - Lead complex analytic initiatives that evaluate clinical programs and solutions, delivering clear proof of value in cost, quality, and outcomes. - Design and execute rigorous evaluation approaches, including systematic literature review, meta-analysis, matched case-control studies and experimental or quasi-experimental designs. - Develop and apply statistical and predictive models to stratify risk, assess behavior change, and identify improvement opportunities. - Translate large-scale healthcare data into actionable insights and recommendations for business and clinical leaders. - Partner with stakeholders across clinical, operations, product, pharmacy, and behavioral health teams to shape analytic strategy and testing plans. - Communicate results clearly to non-technical audiences, influencing decisions through compelling data storytelling. - Uphold analytic standards, methods, and rigor to ensure results can be confidently used to drive material improvements. Qualifications Required - Master’s degree or PhD in biostatistics, epidemiology, health economics, health services research, or a related field. - 3+ years of experience in healthcare analytics, data science, or outcomes research. - Strong foundation in statistical modeling, evaluation research design, and applied analytics. - Proficiency in at least one major programming or analytic language such as Python, R, or SQL. - Experience working with healthcare data sets, including claims, utilization, and diagnostic codes. - Ability to work independently on complex problems while collaborating effectively in a matrixed organization. - Clear communication skills and comfort influencing stakeholders at multiple levels. Preferred - Recent experience with program evaluation, outcomes research, or health services research methods. - Background presenting findings through publications, presentations, or internal thought leadership. - Growth mindset, curiosity, and enthusiasm for continuous improvement in how analytics drives impact. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 112,800 - 188,000 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

• Data Analysis & Modeling: Utilize advanced statistical methods and machine learning techniques to analyze large, complex datasets, uncovering insights and trends that inform business strategies. • Predictive Analytics: Build predictive models to forecast business outcomes, optimize processes, and drive decision-making across various departments. • Feature Engineering: Design and implement feature engineering techniques to improve the accuracy and performance of machine learning models. • Collaboration: Work closely with cross-functional teams (business, product, engineering, etc.) to identify key business problems and translate them into data science solutions. • Data Preparation: Clean, preprocess, and organize raw data from different sources to ensure it is suitable for analysis and modeling. • Machine Learning Model Development: Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems. • Evaluation & Optimization: Evaluate the performance of models using various metrics (e.g., accuracy, precision, recall, F1 score) and optimize them for real-world performance. • Data Visualization & Reporting: Create clear, insightful visualizations and reports to communicate findings to non-technical stakeholders. • Automation: Automate repetitive data processing and reporting tasks to increase efficiency and reduce manual effort. • Research & Innovation: Stay up-to-date with the latest developments in data science, machine learning, and AI, and bring new ideas and techniques to the team. • Deployment & Monitoring: Implement models into production environments and monitor their performance over time to ensure they meet business requirements.