• Data privacy management: You will further develop the group-wide data privacy management system, ensure its reliable operation, manage the operational data privacy activities of the Proalpha Group, coordinate the data privacy coordinators of the group companies, and work closely with the external data protection officer. • Data privacy processes: You maintain the records of processing activities, support Data Protection Impact Assessments (DPIAs), and assist in defining, documenting, and reviewing technical and organizational measures. • Products and projects: You support software, cloud, AI and digitization projects, embed Privacy by Design into products and services, and advise business units on data protection requirements. • Compliance and advisory: You create and maintain privacy and compliance policies, processes and documentation, handle due diligence questionnaires from customers, and support compliance requirements related to suppliers. In data protection matters you also work collaboratively with the works council. • Governance and awareness: You monitor regulatory developments in data protection, derive necessary actions, conduct training and awareness measures, and support internal audits.

Title: Weed Scientist Location: Marysville Research (0205) Job Description: Full time job requisition id R26152 Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply! The Weed Scientist will work to design & support a diverse portfolio of lawn & landscape products for The Scotts Miracle-Gro Company. This person will be pivotal in defining and developing products and practices for the homeowner. Associates are expected to participate in our business segment as a hands-on researcher so that they may develop keen insights that contribute to the commercialization of novel products. Additionally, the Scientist will have broad experience in turfgrass cultural practices such as irrigation, establishment, nutrition, mowing, maintenance and pest control. The Scientist should have a working knowledge of temperature/humidity/dormancy/seasonal effects on both cool and warm season turfgrasses and be familiar with turfgrass industry standards. Ability to relate research and turfgrass management experience into both product development and consumer communications. It is vital that the incumbent possess practical skills in experimental design and analysis, report writing, and regulatory frameworks. Exceptional time management and organizational skills are desired. A strong scientific curiosity, excellent communication skills, initiative and independence are also essential characteristics. The scientist will also mine technologies and match them to both articulated and unarticulated consumer needs to drive the homeowner Lawn Care category. This position reports directly to the R&D Product Development Manager. Key Responsibilities: - Leads, plans and implements field and greenhouse biological research, including trial setup & initiation, data collection, data analysis, and preparation of reports to be used to support product claims for regulatory agencies. - Collaborate closely with colleagues in R&D, marketing, regulatory, sourcing, and manufacturing to ensure alignment on project goals, effective use of resources and explore innovation possibilities. - Provide technical assistance to R&D, marketing, regulatory, sourcing, quality, and manufacturing when appropriate. Contribute to the Product Development Team to raise overall team contributions and performance. - Interacts with industry and university collaborators to understand and mine new technologies, new biological research methods, and consumer trends and communicate this information to category leads and sales/ tech service. - Develops and follows R&D Standard Operating Procedures (SOPs). - Communicates scientific concepts and research to senior leadership (including Directors, GM’s VP’s, COO, CEO and Board Members); demonstrates outstanding written and verbal communication skills. - Critical in support of state and EPA registration dossiers, potential partnership or acquisitions, competitive analysis and cost-out initiatives. Requirements: - Ph.D. in Weed Science is preferred or a related field (agronomy, soil science, etc) is required. - Experience in a related field, such as sports/commercial turf, golf turfgrass maintenance, or academic research/extension program. - Demonstrated ability to design and lead research programs to answer specific questions and/or solve problems and experience in conducting biological research to commercialize turf products or technologies. - Possess a broad awareness of consumer lawn and garden products and practices; hands-on experience is desirable. - Strong aptitude for weed science/turfgrass management, chemistry, conversions and mathematics. - Experience performing Statistical Analysis using ARM, MiniTab, JMP or similar software programs. - A high degree of original thinking and intellectual curiosity is required. The scientist must design research protocols that address key questions and hypotheses for a combination of variables as Scotts Miracle-Gro attempts to optimize the complete solution for homeowners across all product categories. - Willingness to function as part of a hands-on scientific team and mentor/develop other team members (biology technicians/interns). The starting budgeted pay range for this role will generally fall between $77,200.00 - $90,800.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary. Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel… - Our Live Total Health program provides you with options to align to your personal needs. Selections range from medical, dental and vision coverage for you, your spouse/domestic partner and dependents to an outstanding wellness reimbursement program to an unbelievable 401K match (up to 7.5%) as well as a 15% discount on company stock and much more - We know our talent is our most precious asset and your unique development contributes to our organization’s success now and in the future. Career growth at our company is not always a ladder. It’s much more like a rock climbing adventure. Grow through exploration and experiences rather than a predictable linear path. - We value the importance of family. We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy. - Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability: Scotts Women’s Network, Scotts Black Employees’ Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards. - Join a company with a strong belief in giving back to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team. Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities. Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace. EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity Notification to Agencies: Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.

• Developing credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections • Design and run experiments to optimise approval rates, loss rates, and profitability • Partner with product squads to embed decision logic into real-time systems • Ensure data quality, compliance, and ethical use of models across all decisioning processes • Mentor product squads on best practices in experimentation and data-driven decision making • Provide models to optimise outcomes in collections, churn management and user retention

CAPCO POLAND *We are looking for Poland based candidate. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. We are seeking an experienced Data Scientist with strong expertise in Python and Time Series Modelling to join a strategic forecasting and model development programme. The successful candidate will play a key role in designing, developing, and enhancing predictive models while working across the full data science lifecycle, from data exploration through to deployment and model monitoring. The ideal candidate will bring strong analytical and statistical capabilities, hands-on machine learning experience, and the ability to collaborate effectively with both business and technical stakeholders. Experience with Azure Machine Learning, Databricks, and R programming is highly desirable. What You'll Deliver - Develop, validate, and optimize advanced time series forecasting and predictive models. - Utilize Python for data analysis, feature engineering, statistical modelling, and machine learning development. - Build and deploy machine learning solutions using Azure Machine Learning and Databricks. - Support and enhance existing forecasting models, including models developed in R. - Implement and maintain MLOps processes to enable efficient model deployment, monitoring, and lifecycle management. - Work closely with business stakeholders to understand requirements and translate them into scalable data science solutions. - Develop and maintain robust analytical datasets and data models to support forecasting and reporting needs. - Leverage Databricks for large-scale data processing and advanced analytics. - Ensure data quality, integrity, and governance standards are maintained throughout the modelling lifecycle. - Create clear documentation and communicate modelling outcomes and recommendations to technical and non-technical audiences. - Contribute to Agile delivery practices and continuous improvement initiatives. - Stay current with emerging trends and best practices in data science, machine learning, cloud technologies, and analytics. What We're Looking For - Strong commercial experience as a Data Scientist or Machine Learning Engineer. - Advanced proficiency in Python. - Demonstrable experience developing Time Series Forecasting Models. - Strong understanding of statistics, probability, and predictive modelling techniques. - Experience with machine learning frameworks and model validation methodologies. - Proven ability to work with large and complex datasets. - Experience collaborating with cross-functional business and technical teams.Strong communication and stakeholder management skills. Bonus Points For - Experience with Azure Machine Learning. - Experience with Databricks and distributed data processing. - Exposure to MLOps, CI/CD pipelines, and model monitoring. - Experience with R programming, including: - RStudio, tidyverse (dplyr, tidyr), caret, randomForest, xgboost, ggplot2, Shiny Experience developing and supporting data pipelines. - Knowledge of Git/version control and Agile delivery methodologies.Experience working with Geospatial Data and spatial analytics. We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. RECRUITMENT PROCESS: - HR interview with the recruiter - Technical interview with Capco Engineering team - Client interview - Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-HYBRID