9 Rpython Jobs

We are looking for a skilled actuary interested in an exciting opportunity within the Property and Casualty (P&C) insurance sector, particularly in Home/motor insurance. If you are a talented P&C Pricing Actuary, we invite you to join our dynamic team to contribute to driving our pricing strategies to new heights. The available roles are as follows: - Pricing Analyst: 1 to 3 years of experience - Senior Pricing Analyst: 3 to 6 years of experience - Principal Pricing Analyst: 6 to 12 years of experience The location for this opportunity is remote, providing flexibility for your work environment. To qualify for this position, you should hold a Masters or Bachelor's degree in Actuarial Science, Statistics, Mathematics, or B.Tech with a strong academic background. Key mandatory skills for this role include expertise in core/technical pricing, RADAR/EMBLEM, R/Python, and SAS. Additionally, having an actuarial qualification is desirable along with significant pricing experience and solid knowledge of statistical modeling methods, particularly GLMs, and machine learning techniques, particularly GBMs. Candidates should also possess experience in working with extensive data sources, proficiency in coding languages like Python, SQL, SAS, or similar, and familiarity with software such as Radar or Emblem. Strong stakeholder management skills, the ability to convey technical concepts to a non-technical audience, and a comprehensive understanding of Technical Price elements are essential for this role. Desired skills include proficiency in Excel and MS Office, experience in insurance pricing roles, knowledge of modeling techniques, price optimization, and general insurance regulatory environment, as well as the ability to manage projects within business timelines and mentor junior team members. Your responsibilities will include assisting in risk model updates, collaborating with different teams and stakeholders to understand their needs, analyzing data, interpreting results for non-technical audiences, building and testing statistical models and machine learning algorithms, and working with data enrichment teams to enhance models using third-party data sources. Join us at Allianz, a trusted insurance and asset management company, where we value a diverse and inclusive workforce. We are committed to being an equal opportunity employer and encourage individuals from all backgrounds to bring their unique perspectives to our team. Let's work together to shape a better future for our customers and the world around us.,

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. Collaborating with cross-functional teams, including data engineers, front-end developers, and security specialists, you will integrate AI models into business solutions. Additionally, you will conduct research and experiments to enhance AI models and algorithms, staying updated on the latest AI/ML technologies and trends. To excel in this role, you must possess at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on expertise in areas such as Linear Regression, Classification Techniques, Logistic Regression, and Unsupervised Learning techniques like k-means/hierarchical clustering. Proficiency in Optimization methods, working in R/Python, T-SQL, and graph-based models is essential. Hands-on experience with Python, Azure Machine Learning, and other Azure AI tools is highly desirable. Your role will involve developing and deploying machine learning models for various use cases, optimizing models through advanced feature engineering, working with large-scale datasets, and collaborating with stakeholders to design data science solutions that address organizational needs. Strong problem-solving skills, solid understanding of statistical analysis and machine learning algorithms, and excellent communication skills are key attributes for success in this position. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are advantageous. Join Dark Matter Technologies to be at the forefront of data science innovation and contribute to reshaping the future of loan origination through advanced AI technologies and solutions.,

You will be joining Dark Matter Technologies, a company leading the tech-driven revolution in loan origination with cutting-edge AI and origination technology solutions. As a Senior Data Scientist, your role will involve building machine learning models, using various algorithms for regression, prediction, and deep learning. You will be responsible for identifying data sources, analyzing data, writing machine code in Python (or Azure ML), and creating models. The job location is in Hyderabad and Bhubaneswar. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. You will collaborate with cross-functional teams to integrate AI models into business solutions, conduct research to improve AI models and algorithms, and stay updated with the latest AI/ML technologies and trends. Additionally, you will implement and deploy AI models using cloud AI services while ensuring the quality and scalability of AI solutions. To qualify for this role, you should have at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on experience in various areas such as linear regression, classification techniques, logistic regression, unsupervised learning techniques, feature reduction methods, and optimization methods. You must be proficient in working with R/Python, T-SQL, and graph-based models, with hands-on development experience in Python. Understanding of Azure Machine Learning and other Azure AI tools is essential, along with proficiency in data modeling, design, SQL development, and deploying machine learning models for key use cases. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for managing data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are also advantageous. You should possess strong problem-solving skills, the ability to work independently and as part of a team, excellent communication skills to convey complex technical concepts to non-technical stakeholders, and a solid understanding of statistical analysis and machine learning algorithms. Your role will involve working with large-scale datasets, ensuring efficiency and scalability in data processing, collaborating with stakeholders to design data science solutions, and presenting analytical findings and business insights to project managers and senior leadership. Keeping abreast of new statistical and machine learning techniques is crucial to improve predictive performance.,

At Barclays, we dont just adapt to the future we shape it Embark on a transformative journey as Strategic Adoption Senior Engineer, where you'll lead design of Agentic AI tools solving mission critical migration problems, providing technical guidance, mentorship, and support the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives, To be successful as a Strategic Adoption Senior Engineer, you should have: Expert level proficiency in programming languages such as Python, R, or Java Utilize key technologies such as Gitlab Duo, AWS Bedrock, to Design build and deploy AI solutions, Provide technical leadership to resolve complex issues, Experience with Python and machine learning frameworks and libraries (e-g , TensorFlow, PyTorch, scikit-learn) Hands-on experience on Agentic AI development & deployment utilizing IaaC models will be an added advantage, Well versed with some of the industry wide solutions & large learning models (LLMs) such as GTP, Claude, Deepseek, Gemini, Experience of using NLP Techniques, AI platforms and designing Agentic AI agents will be an added advantage, Ability to convey complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to work independently and as part of a team, Collaborate with cross-functional teams to integrate AI solutions into products and services, Conduct research to advance the state-of-the-art in AI and machine learning Analyse and interpret complex data sets to drive decision-making and optimize and fine-tune AI models for performance and scalability, Some Other Highly Valued Skills May Include A self-starter with good communications skills, You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills, The location of the role is Pune, IN, Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues, Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools Ensuring that code is scalable, maintainable, and optimized for performance, Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives, Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing, Stay informed of industry technology trends and innovations and actively contribute to the organizations technology communities to foster a culture of technical excellence and growth, Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions, Implementation of effective unit testing practices to ensure proper code design, readability, and reliability, Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures, If managing a team, they define jobs and responsibilities, planning for the departments future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements, If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions, Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment, Manage and mitigate risks through assessment, in support of the control and governance agenda, Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does, Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies, Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions, Adopt and include the outcomes of extensive research in problem solving processes, Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

You will be responsible for building growth product experiences and infrastructure to enhance the business across Mobile APP & Web platforms. Your role will involve owning the strategy, roadmap, and execution of key growth product initiatives that aim to provide exceptional experiences for existing customers based on data-driven customer insights. Your primary accountabilities include: - Developing a product vision and roadmap for driving X-Sell/Up-Sell of Financial Services through APP & Web Channels, in alignment with DMI's cross-sell strategy. - Collaborating with cross-functional teams to design, develop, and launch new products to drive higher X-Sell/Up-Sell/retention. - Ensuring end-to-end delivery of products as per the roadmap. - Strategizing customer engagement across various channels to address awareness gaps and friction points effectively. - Writing clear User Stories & product requirements and collaborating with the team on design/wireframe creation. - Prior experience in Mobile APP is a prerequisite. You will also focus on optimizing the product for customer and business needs through Funnel Optimization by: - Defining and improving relevant metrics to drive outcomes. - Setting and achieving specific KPIs related to product metrics such as activation, acquisition, conversion, retention, referrals, and revenue. - Conducting detailed product analysis throughout the product management funnel. - Enhancing various aspects of customer experience and monitoring metric optimization effects. - Implementing retention strategies and increasing engagement metrics. Additionally, you will be responsible for P&L Management by: - Maximizing customer lifetime value and managing the lifecycle for increased retention. - Improving the X-Sell ratio for Credit & Fee products. - Managing marketing budgets across channels to maintain blended CAC within the target range. - Overseeing the P&L for specific business lines. Stakeholder Management is crucial, involving interactions with cross-functional teams to drive Growth agenda and ensure proper implementation of product growth strategies. Qualifications include an MBA from a reputed institute with 5-7+ years of experience as a product manager, familiarity with various tools, and strong analytical skills. Your work experience should showcase proven experience in numbers-driven and analytical marketing environments, preferably in Fintech or banking sectors. You should be adept at iterative hypothesis-driven product development, stakeholder collaboration, and possess strong communication skills. An ownership mindset, problem-solving skills, and strategic insights are essential, along with expertise in testing methodologies and analytical tools. Proficiency in SQL, Advanced Excel, and optional R/Python is beneficial for this role.,

Maersk is a global leader in integrated logistics and has been an industry pioneer for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. We believe in the power of diversity, collaboration, and continuous learning, working hard to ensure that our organization reflects and understands the customers we serve. With a presence in over 130 countries and a team of more than 100,000 employees, we are shaping the future of global trade and logistics. As a Supply Chain Development Sr. Analyst at Maersk, you will be part of the Global Supply Chain Development function within Maersk Sales. Reporting to the leader of the Mumbai office, you will contribute to logistics solution sales by identifying and quantifying opportunities and tailoring value propositions for priority customers. This role offers an exciting opportunity to work on cutting-edge areas of logistics and supply chain management services across various industries. It serves as a stepping stone for building a successful career in logistics within the global organization of Maersk, providing growth opportunities, mentorship, training, and on-the-ground learning experiences. Working closely with regional teams, you will collaborate on identifying and selling Maersk value propositions to customers, focusing on creating customized and innovative supply chain solutions. Your responsibilities will include executing analyses and modeling tasks, preparing reports, and demonstrating strong communication and presentation skills to drive high-impact customer engagement. You will be expected to contribute to innovation, standardization, and capability-building areas within the Supply Chain Development team. To be successful in this role, you should hold a Bachelor's degree in Engineering, Business Administration, Mathematics, Statistics, Economics, Science, or a related discipline. Additionally, 5-7 years of relevant customer-facing experience in supply chain consulting or supply chain solution sales is required, preferably in the logistics domain. Proficiency in supply chain analysis software such as Llamasoft Supply Chain Guru, strong quantitative and data analytics skills, and knowledge of MS Office are essential. Familiarity with R/Python is an advantage. You should possess a persuasive personality, the ability to connect with stakeholders, and a detail-oriented approach to problem-solving. Fluency in English, both oral and written, along with the flexibility to work in EU shifts, is necessary. If you require any adjustments during the application and hiring process, please contact us at accommodationrequests@maersk.com. Join us at Maersk as we sail towards a brighter, more sustainable future, harnessing cutting-edge technologies and unlocking opportunities on a global scale.,

The ideal candidate for the role of VP Data Science should have a strong background in data analytics, business intelligence, and management. As a visionary leader, you will drive the Data and Analytics, BI function to facilitate data-driven decision-making across the organization. Your responsibilities will include overseeing the development and implementation of machine learning predictive models, BI tools, and systems. It is crucial to ensure data accuracy and integrity while providing actionable insights to various departments. Effective communication, a strategic mindset, and the ability to collaborate with cross-functional teams are essential for success in this role, as you will play a critical part in helping the organization leverage data to achieve its business goals and objectives. Your key responsibilities will involve developing and implementing the overall Data and Analytics, BI strategy, as well as supervising the design, development, and maintenance of predictive models, BI tools, and systems. You will be accountable for ensuring data accuracy, integrity, and security, and providing actionable insights to support business decision-making. Collaboration with cross-functional teams to comprehend their data needs, managing and mentoring a team of data analytics professionals, setting performance goals, and conducting regular performance reviews are also part of your role. Staying updated with the latest trends and technologies, developing and maintaining data governance policies, and delivering presentations to senior management are critical responsibilities. Additionally, monitoring and reporting on key performance indicators (KPIs), identifying opportunities for process improvements, and ensuring compliance with data privacy regulations will be essential in this position. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Information Systems, or a related field, with a Master's degree being preferred. Prior experience in business intelligence/data analytics and a leadership role is required. Proficiency in R/Python, Machine Learning, Databases, Dashboards, as well as a strong understanding of Data Science, Machine Learning, and Data Analytics, are necessary. Familiarity with BI tools and systems, excellent analytical and problem-solving skills, and strong communication and presentation abilities are also essential. Experience with data warehousing, ETL processes, SQL, and other database query languages is expected. The ability to work collaboratively with cross-functional teams, strong project management skills, and knowledge of data governance and data privacy regulations are crucial. Experience in Banking and Financial services, particularly in predictive modeling of regulatory and non-regulatory credit risk domain, would be advantageous. In conclusion, the VP Data Science role demands a dynamic individual who can effectively lead the Data and Analytics, BI function, drive strategic decision-making through data insights, and contribute significantly to the organization's success in achieving its business objectives.,

As a Product Analyst at Landmark Digital, you will play a crucial role in championing data-driven decision-making for the digital function. Your responsibilities will include owning the Ecommerce KPIs of the squad, preparing, monitoring, and reporting them regularly to relevant teams. You will also be tasked with tracking and measuring the incremental value derived from every feature launched by the squad. Your role will involve proactively engaging with product owners to identify high-value impact items on the backlog through data-driven analysis. Additionally, you will interact with business stakeholders to troubleshoot data issues and collaborate with both business and technical teams for quick resolutions. You will lead hypothesis testing of business impact decisions, conduct AB tests for feature launches, and analyze and report their performance regularly. A key aspect of your role will be to deep dive into metrics and issues, present clear recommendations based on data discovery, and collate data from various sources to generate insights for different audience groups, ranging from senior management to tech teams. You will work closely with squads to address any data-related impediments and ensure smooth workflow. To be successful in this role, you should have at least 5+ years of experience in a Product Analyst role within the consumer goods ecommerce sector. You must possess a thorough understanding of customer journeys on ecommerce platforms and be adept at analyzing user funnels, dropouts, conversions, traffic, NPS, reviews, and ratings. Your track record should demonstrate the ability to drive value and influence key business metrics through data-informed product innovation. Proficiency in data analysis tools such as SQL, Big Query, MS Excel Advanced, and Power BI is essential. Experience in data mining, scripting with R/Python, and familiarity with data science and analytics platforms like SAS and Azure Data Bricks will be beneficial. Your communication skills should be top-notch, enabling you to effectively educate stakeholders and motivate them to act on your data-driven recommendations. As a part of the Landmark Digital team, you will work in a dynamic environment where collaboration, innovation, and continuous learning are encouraged. Your role will involve working with cross-functional teams, requiring excellent organizational, time management, analytical, and problem-solving skills. Attention to detail, the ability to prioritize tasks, and meet deadlines will be crucial for success in this position.,

SOTI is committed to providing you with endless possibilities; learning new things, working with the latest technologies, and making a difference in the world. In this role, you will be responsible for designing, developing, and deploying interactive Power BI reports and dashboards to meet the needs of various business units. You will also develop and maintain data models to support business requirements, ensuring efficient data retrieval and reporting. Integration of data from various sources into SQL Server and Azure Synapse will be crucial to ensure data accuracy and consistency. Collaboration is key in this role as you will work closely with stakeholders, including business analysts, data scientists, and management, to gather requirements and deliver solutions that drive business insights. Additionally, you will be required to create and maintain comprehensive documentation for data models, reports, dashboards, and processes. Monitoring and optimizing the performance of BI solutions and providing support to end-users on Power BI functionalities and best practices will also be part of your responsibilities. To be successful in this role, you should possess excellent analytical, troubleshooting, problem-solving, and research skills. The ability to multitask and interact with a diverse internal user/customer base is essential. You must have 3-5 years of experience in SQL using SQL Server and Azure Synapse Analytics and 2-3 years of experience with Power BI report development and deployment. Experience in BI development and data analysis, as well as with Data Warehouse concepts and ETL tools, is required. Additionally, experience using Cloud architecture, NoSQL databases, R/Python, and building data pipelines to integrate with unstructured data sources is a plus. A background in Sales/Marketing business is also beneficial. Strong written, verbal, and interpersonal communication skills are necessary for this role. If you are passionate about bringing your ideas to life, apply at SOTI today.,