398 Predictive Jobs - Page 10

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...

We are seeking a skilled and dedicated Analytics Expert to join our team. The successful candidate should have robust proficiency in Excel 365, Power BI, SPSS, and SQL for data analysis and visualization. An understanding of statistics, including univariate, bivariate, and multivariate analysis, is essential. Additionally, the ability to conduct regression, predictive analysis, and Natural Language Processing (NLP) based text analytics using SPSS is crucial. Experience in Python will be a significant advantage. Candidates should be able to showcase previous projects demonstrating these skills. Key Responsibilities: • Leverage Excel 365, Power BI, SPSS, and SQL to analyze, interpret, and visu...

Responsibilities: Design, develop, and implement AI/ML models and algorithms. Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. Write clean, efficient, and well-documented code. Collaborate with data engineers to ensure data quality and availability for model training and evaluation. Work closely with senior team members to understand project requirements and contribute to technical solutions. Troubleshoot and debug AI/ML models and applications. Stay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI so...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Resourcing the project. The Project Manager will collaborate with the IA regional Operation Leads and her/his People Staffing Partner to assign named resources to the project in accordance with the Statement of Work, always accounting for correct margin and utilization. Be the single point of c...

Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success. If analytics is your game, then this team is just the right place for you. The technology that once promised to simplify patient care has br...

We are looking for a Data Scientist with industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. Healthcare background is a plus. Passion for travel can help you score some brownie points. THE THINGS YOULL BE DOING Design scalable solutions for real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Build intelligent systems to capture and model the vast amount of behavioral data to enrich the content understanding with behavioral information Work with the business leaders and customers to understand their pain-points and build large...

We are looking for a Lead Data Scientist As the Lead Data Scientist at Siemens Advanta, you will play a leading role in developing AI based solutions to address real world challenges. You will work closely with cross-functional teams to identify business challenges, deliver data-driven solutions, and provide actionable insights to optimize processes and drive innovation. Youll make a difference by: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise. Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Design, develop, and implement advanced machine learning and statis...

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visu...

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabora...

Your Career Were seeking an experienced Cloud SRE lead to lead high-severity incident and problem management across our GCP-centric platforms. This role combines deep technical troubleshooting with process ownership, ensuring rapid recovery, root cause elimination, and long-term reliability improvements. You will own L3 OnCall responsibilities, drive post-incident learning, and champion automation and operational excellence. Implement and lead post-mortem processes within SLAs, identify root causes, and drive corrective actions to reduce repeat incidents. Your Impact : In your technical and leadership capacity you will contribute to a seamless production site reliability operations , partner...

As a Senior Consultant in the IT Consulting team at EY, you will have the opportunity to work on various cloud implementation projects for clients worldwide. Your role will involve leading technical streams of projects, communicating with onsite coordinators, planning and monitoring project deliverables, mentoring project teams, and providing regular status updates. You will be responsible for building a quality culture, managing performance for direct reports, fostering teamwork, providing training and mentorship to project resources, and participating in organization-wide initiatives. Mandatory skills for this role include 3-7 years of experience, working knowledge in AS-ABAP on HANA, HANA...

Assistant Manager - Finance Projects and Systems - Finance Data Scientist Position Purpose The main mission of this position will be to leverage data analytics and machine learning techniques to enhance financial decision-making, optimise processes, and mitigate risks . This involves analysing large datasets to uncover insights, developing predictive models to forecast financial trends, and creating data-driven strategies to improve efficiency and profitability. This also includes a capacity to proactively propose axes of improvement of F&S processes through data-driven solutions. Responsibilities Analysing large datasets to identify trends, patterns, and insights that can inform business de...

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...