3 Python Pandas Jobs

As the Analytics and Modeling Manager at Accenture, you will play a crucial role as the Team Lead within the Sales Operations Transformation - Data Analytics, Reporting & Visualization team. Your responsibilities will include leading a cross-functional team of Data Scientists and Visualization experts to drive the design, development, and deployment of data science models and visualization solutions that support sales strategy, performance tracking, and revenue optimization. You will collaborate across functional, technical, and global teams to ensure the alignment of solutions with business needs and drive measurable outcomes. Additionally, you will be responsible for managing project timelines, resource planning, and risk mitigation while upholding high standards of quality and delivery. Your role will also involve serving as a subject matter expert in Sales Operations analytics, providing thought leadership, mentorship, and guidance to technical and non-technical stakeholders. We are seeking a candidate with a strong background in Sales Operations, CRM data, and sales process optimization. The ideal candidate will possess proven experience in data analytics, data science, and business intelligence, as well as a track record in leading teams that deliver advanced statistical models and interactive dashboards. Proficiency in Python (Pandas, NumPy, Scikit-learn), Power Query, Power Pivot, Power BI, SQL, and Microsoft Excel is essential. Excellent stakeholder management, communication skills, and experience working with global, cross-functional teams are highly desired. In this role, you will lead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams. You will align team objectives with Sales Excellence and Sales Transformation strategy, drive solution design, data strategy, and execution, and oversee solution scalability, reusability, and integration into business processes. Additionally, you will manage, mentor, and grow a high-performing team, provide technical and functional guidance, conduct regular performance reviews, and oversee capacity planning and work allocation. Furthermore, you will collaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics. You will serve as the client-facing SME for all analytics and visualization needs in the sales domain, ensuring effective communication of findings, models, and visualizations through storytelling. You will also ensure the high-quality delivery of data science models and dashboards, review and validate model outcomes, and encourage best practices in code management, versioning, and model documentation. Moreover, you will ensure data quality, governance, and secure access across platforms. This position requires a candidate with 9+ years of experience and a passion for transformation, strategic thinking, and operational expertise. If you are ready to leverage your skills in analytics, modeling, and leadership to drive sales operations transformation through AI-powered innovation, we invite you to apply for this exciting opportunity at Accenture.,

As a Credit Manager at Revolut, you will be responsible for providing analytics services to credit teams globally. Your role will involve managing portfolios within risk appetite, optimizing credit strategies, supporting the development of credit strategies for new products, forecasting and external data gathering, improving automated credit decisioning capabilities, designing champion-challenger strategies, building analytical tools, ensuring approval from regulators, and onboarding new data suppliers. To excel in this role, you should have proven experience in credit risk management, making data-driven decisions, working with large datasets using Python, and holding a bachelor's degree in a quantitative/analytical subject. Additionally, you should possess the ability to simplify complex matters, fluency in English, understanding of credit policy governance framework, planning skills, forward-thinking approach, and knowledge of credit scoring models. It would be advantageous to have knowledge and experience working with SQL, SAS, and other data languages. Revolut values diversity and inclusivity, as demonstrated by the launch of the D&I Framework in 2021 to foster a positive workplace environment. Candidates are reminded to beware of job scams and only apply through official Revolut channels to ensure authenticity.,

Data Scientist Experience: 4 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Python Pandas, Scikit Learn, TensorFlow, Pytorch, Neural Networks, Transformers, LLMs Good to have skills : Docker, Kubernetes TatvaCare (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Description: Position: Data Scientist Business Division: AI Labs Reporting To: Chief Technology Officer Location: Bangalore Company Website: www.tatvacare.in TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. TatvaCare is a full-spectrum technology solution that solves across various aspects of both patients and doctors needs and their interactions to significantly improve health positives. Guided by a fundamental principle of connecting the patient care continuum to ultimately provide positive outcomes. As a digital system TatvaCare empowers both healthcare professionals and individuals with chronic conditions to create healthy habits leading to positive health outcomes. Role Overview Responsible for designing and implementing machine learning models to solve critical business challenges, including tasks such as classification, regression, clustering and recommendation systems. Develop and manage end-to-end data science pipelines, handling data preprocessing, feature engineering, model development, evaluation, and deployment. Collaborate with cross-functional teams to integrate machine learning models into production systems and ensure alignment with business objectives. Monitor and improve model performance continuously, staying up to date with the latest advancements in AI/ML to optimize solutions. Work with a variety of data types, including structured datasets and unstructured data (text, images, voice, sensor data), to develop robust machine learning models. Ensure that all models are scalable, accurate, and provide actionable insights, delivering measurable business value. Requirements: 4+ years of hands-on experience in data science and machine learning, with a solid track record of delivering successful projects. Strong analytical and problem-solving skills, with the ability to manage large, complex datasets. Proficient in Python, with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience in Convolutional Neural Networks, Transformers, Transfer Learning from LLMs to SLMs (Smaller Language Migration). Experience with NLP techniques and deep learning models, including CNNs, RNNs, Transformers, and LLMs, especially in tasks like classification and sentiment analysis. Proven experience in deploying machine learning models in production environments. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies like Docker and Kubernetes is a plus. Excellent communication skills and the ability to work effectively in collaborative team environments. Bachelors or masters degree in computer science, or a related field. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: TatvaCare is transforming care practices to deliver positive health outcomes. TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. Our product portfolio includes TatvaPractice, an advanced EMR and Knowledge platform for healthcare professionals, and MyTatva, a Digital Therapeutics application designed to manage chronic diseases like Fatty Liver, COPD, and Asthma. Through these initial solutions and more to come, we aim to bridge the gap in healthcare, connecting professionals and patients. We are committed to revolutionizing healthcare in India, promoting efficient, patient-centric care, and optimizing outcomes across the healthcare spectrum.] About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!