4028 R Jobs - Page 44

As a Marketing Analytics Specialist at Trimble, you will be crucial in supporting the Trimble Demand Generation Teams by playing a pivotal role in shaping the future of Marketing analytics. Your primary responsibility will involve defining and driving a clear vision for the team while ensuring successful implementation. You will focus on building the technical foundation and analytics framework to support Marketing and Publishing initiatives, optimizing processes, and aligning data strategies with broader business goals. Your key responsibilities will include defining, developing, and implementing the technical foundation and analytics framework for Marketing and Publishing initiatives. This will involve collaborating with cross-functional teams to define data requirements, objectives, and key performance indicators (KPIs) for user acquisition campaigns and broader publishing strategies. Moreover, you will work closely with the Marketing Operations team to create and implement data collection strategies for capturing key marketing data from various sources. As a Marketing Analytics Specialist, you will also be responsible for developing and maintaining data models & dashboards to organize and visualize marketing data, providing actionable insights to stakeholders. Your role will entail conducting in-depth analysis of user acquisition campaigns, including cohort analysis, attribution modeling, and A/B testing to identify trends, patterns, and opportunities for optimization. To excel in this role, you should have 5-8 years of proven experience in marketing analytics, with a focus on customer acquisition in both B2B and B2C industries. Strong analytical skills and proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar platforms are essential. Additionally, proficiency in developing visually compelling and insightful dashboards within Domo to track key marketing performance indicators is required. You should be adept at translating complex marketing data into easily understandable and actionable insights through data visualization best practices. Proficiency in statistical analysis, data visualization tools, and a deep understanding of digital marketing channels and attribution models are crucial for this role. Moreover, excellent communication, collaboration skills, and strong project management skills are essential to effectively manage multiple priorities and deadlines in a fast-paced environment. In this role, you will have the opportunity to stay informed about industry trends, best practices, and emerging technologies in marketing analytics and user acquisition, incorporating new techniques and tools as appropriate. Your ability to mentor and guide junior analysts will foster a culture of data-driven decision-making and continuous improvement within the team. Trimble, a leading provider of advanced positioning solutions, offers an exciting and entrepreneurial environment with a focus on growth and innovation. As a Marketing Analytics Specialist at Trimble, you will be part of a dynamic team that is changing the way the world works through sophisticated positioning technologies.,

As a Geospatial Statistician and Analyst at our company, you will play a crucial role in supporting various geospatial activities and initiatives. Your expertise and skills will contribute to addressing geographic disparities in heart disease and stroke morbidity, mortality, risk factors, and prevention efforts. To excel in this role, you must hold a minimum of a Master's Degree in Statistics, Biostatistics, Epidemiology, Sociology, or Applied Mathematics. Pursuing or possessing a PhD in any of these fields would be advantageous. Your responsibilities will include analyzing spatial and spatio-temporal data, managing large datasets, and utilizing statistical software such as SAS, R, or GeoDa. Your daily tasks will involve providing administrative support for staff meetings related to Geospatial activities. This includes coordinating meeting logistics, preparing agendas, and documenting meeting minutes. Additionally, you will use Geographic Information Systems (GIS) to create maps showcasing geographic variations in heart disease and stroke indicators, cost data, and healthcare access. Furthermore, you will offer technical guidance on GIS and cartography to health department staff involved in the GIS Capacity Building Project. You will also contribute to the production of reports, presentations, and the Interactive Atlas of Heart Disease and Stroke, highlighting key findings and prevention strategies. Join our team and be part of a dynamic work environment that values integrity, commitment, and excellence. Together, we will continue to grow and make a difference in the field of geospatial analysis and public health. If you are passionate about utilizing statistics and GIS to address critical health challenges, we invite you to apply for this exciting opportunity.,

As the Manager of Value Enablement & Optimization at our organization, you will play a crucial role in leading the development of data-driven frameworks, tools, and strategies to enhance value delivery across Pricing, Pre-Sales Enablement, and Customer Success. Your responsibilities will include designing and implementing value enablement frameworks, collaborating with global and regional stakeholders, providing data-driven recommendations, and developing advanced analytics tools to quantify and communicate value to clients. You will leverage your technical expertise in programming languages such as Python, R, and SQL for data analysis, modeling, and tool development. Additionally, you will utilize business intelligence platforms to create dynamic dashboards and visualizations that drive decision-making. By integrating AI/ML models and advanced analytics, you will drive automation and scalability to enhance the accuracy and efficiency of tools and insights. Your role will involve building frameworks to measure and track customer value realization, partnering with cross-functional teams to design tailored customer solutions, and developing self-service analytics tools to empower customers and internal teams with actionable insights. Furthermore, you will identify and implement revenue optimization opportunities through strategic analysis, monitor performance metrics, and drive post-sale optimization efforts. Collaboration and team enablement are essential aspects of this role, as you will work closely with cross-functional teams to ensure seamless execution of initiatives. You will foster a collaborative and innovative environment, encourage knowledge sharing, and support training and enablement for internal teams on analytics tools and methodologies to improve efficiency and impact. The ideal candidate for this position will have a proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes. Expertise in programming languages and experience building scalable analytics solutions are required, along with proficiency in business intelligence tools for creating dashboards and data visualizations. Experience integrating AI/ML models is considered a strong advantage. To qualify for this role, you should hold a Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred. Strong technical acumen, exceptional analytical and problem-solving skills, excellent communication and stakeholder management skills, and a deep understanding of pricing strategies, customer success enablement, and revenue optimization principles are also essential for success in this role.,

At PwC, individuals working in data and analytics are dedicated to utilizing data to derive insights and facilitate informed business decisions. By employing advanced analytics techniques, they aid clients in optimizing operations and accomplishing strategic objectives. As a data analyst at PwC, your primary focus will involve leveraging advanced analytical methods to extract insights from extensive datasets and steer data-driven decision-making processes. Your responsibilities will entail utilizing skills in data manipulation, visualization, and statistical modeling to assist clients in addressing intricate business challenges. Your role emphasizes establishing meaningful client relationships while also developing the ability to lead and inspire others. As you navigate through increasingly complex scenarios, you are encouraged to enhance your personal brand, deepen technical expertise, and cultivate an acute awareness of your strengths. You are expected to anticipate the requirements of both your teams and clients, ensuring the delivery of high-quality results. Embracing ambiguity and uncertainty, you remain comfortable in situations where the path forward may not be clear, seeking opportunities for growth through inquiry and learning. To excel in this position, you are required to possess a diverse skill set, including but not limited to the following capabilities: - Effectively responding to varying perspectives, needs, and emotions of others. - Employing a wide array of tools, methodologies, and techniques to generate innovative ideas and resolve complex problems. - Applying critical thinking to deconstruct intricate concepts. - Grasping the broader objectives of your projects or roles and understanding how your efforts contribute to the overall strategy. - Enhancing your comprehension of the evolving business landscape. - Reflecting on your experiences to cultivate self-awareness, enhance strengths, and address areas for development. - Analyzing data to derive insights and formulate recommendations. - Adhering to professional and technical standards, the firm's code of conduct, and independence requirements. Candidates with a minimum of 4 years of practical experience are preferred for this Senior Associate position in the Telecom / Network Analytics / Customer Analytics industry. The successful candidate must exhibit the following skills and traits: Must Have: - Demonstrated experience with telco data such as call detail records (CDRs), customer churn models, and network analytics. - Profound understanding of predictive modeling for customer lifetime value and usage behavior. - Previous exposure to telco clients or telco data platforms (e.g., Amdocs, Ericsson, Nokia, AT&T, etc.). - Proficiency in machine learning techniques, statistical analysis, and programming in Python or R, including SQL for telco data manipulation. - Familiarity with big data technologies commonly used in telco environments (e.g., Hadoop, Spark). - Experience in telecom industry domains like customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics. - Strong communication skills for effective interactions with technical and business teams. Nice To Have: - Familiarity with cloud platforms like Azure ML, AWS SageMaker, GCP Vertex AI. - Experience with telecom OSS/BSS systems or customer segmentation tools. - Knowledge of network performance analytics, anomaly detection, or real-time data processing. - Excellent client communication and presentation abilities. Key Roles And Responsibilities: - Collaborate on analytics projects within the telecom sector, contributing to the design, development, and delivery of data science solutions. - Develop and implement project and analysis plans under the guidance of a Project Manager. - Serve as a subject matter expert to consultants/clients in the US, advising on data sources, datasets, and use case clarifications. - Perform analysis using advanced analytics tools and provide guidance to junior team members. - Establish quality control measures to ensure the integrity of deliverables, including data quality and model robustness. - Validate analysis outcomes and recommendations with stakeholders, including the client team. - Create presentations for the client team and PwC project leadership, outlining key findings. - Contribute to knowledge-sharing and firm-building initiatives. Professional And Educational Background: - BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Master's Degree / MBA from a reputable institute.,

The Ad Sales Technology Specialist position at Culver Max Entertainment Pvt. Ltd. (formerly known as Sony Pictures Networks India) in India is seeking a highly skilled and innovative individual to join their Enterprise Technology Group. The ideal candidate will have a strong background in data analytics, AdSales, and digital technologies within the entertainment industry. With over 12 years of experience, the candidate will be instrumental in driving the company's digital transformation initiatives by utilizing advanced technologies such as Generative AI (GenAI), Artificial Intelligence (AI), and automation. This role will be crucial in leveraging data for informed decision-making processes. The candidate should hold a Bachelor's or Master's degree in computer science, Information Technology, Data Science, or a related field. They should have at least 5 years of experience in data analytics, AdSales technology, and digital innovation within the entertainment industry. Proficiency in SalesForce technologies, especially Vlocity/SalesForce Industries for AdSales, as well as extensive experience with AWS datalake and related data management tools, is required. A strong understanding of GenAI, AI, and automation technologies and their application in data analytics is essential. Preferred skills include experience in the entertainment and broadcast industry, familiarity with data visualization tools, knowledge of advanced analytics platforms and programming languages such as Python, R, or SQL, and certifications in SalesForce, AWS, or other relevant technologies. The position is based in Mumbai and requires full-time work from the office. The Ad Sales Technology Specialist will report to the Head of the Enterprise Technology Group and will be responsible for various key tasks related to data analytics, AdSales innovation, technology leadership, AdSales technology management, data management, and integration. The candidate should possess excellent analytical, problem-solving, and decision-making skills, as well as the ability to lead and inspire teams. Exceptional communication and collaboration skills are necessary for effective interaction with diverse stakeholders. At Culver Max Entertainment Pvt. Ltd., employees have the opportunity to work with leading entertainment channels and the promising streaming platform Sony LIV. The company focuses on creating an inclusive and equitable workplace, celebrating diversity with the Bring Your Own Self Philosophy. It has been recognized as one of India's Best Companies to Work For, among the 100 Best Companies for Women in India, and has received the UN Women Empowerment Principles Award, ET Human Capital Awards, and ET Future Skills Awards. Joining Culver Max Entertainment Pvt. Ltd. offers employees the chance to tell stories beyond the ordinary in a dynamic and innovative environment.,

The Assistant Manager - Content Analytics, Digital Business will play a crucial role in supporting the business growth by utilizing sharp data insights and analysis. This position involves consolidating data insights from various sources to aid in the development of comprehensive, data-driven business strategies. Key Responsibilities: - Utilize data analytics to evaluate the performance of content on the platform - Conduct detailed analysis of important viewership metrics and provide regular reports to stakeholders - Create and manage data dashboards for daily insights - Assist the business in enhancing viewership and maximizing revenue - Generate reports and automate key business performance metrics for all significant launches - Collaborate on target setting and tracking of viewership goals for upcoming launches The ideal candidate should possess the following critical competencies for success: - Strong analytical skills and a data-driven approach - Strategic thinking mindset - Ability to simplify and present complex data insights effectively to cross-functional teams - Proactive in taking ownership and independently forming data-driven perspectives in a dynamic, cross-functional setting - Proficient in Advanced Excel, SQL, and basic knowledge of R or Python - Desirable experience with at least one BI tool like Looker, Tableau, PowerBI, etc. Education Requirement: Masters or equivalent degree Experience: - years of relevant experience Essential Expertise: Proficiency in data analytics, including knowledge of SQL, Advanced Excel, and basic Python Desirable Experience: - Years Location: Mumbai Reporting Relationship: Manager - Content Analytics, Digital Business This role is pivotal in contributing to the business's success through data-driven decision-making and strategic insights.,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Senior Data Engineering Advisor on our Data Engineering Team in Bangalore. As a Senior Data Engineering Advisor, you will be responsible for developing technical tools and programs to automate the data management process, integrating medium to large structured data sets. You will have the opportunity to partner with Data Scientists, Architects, or Businesses to design strategic projects and improve complex processes. You will: - Design and build analytics solutions that deliver transformative insights from extremely large data sets. - Design, develop, and implement web applications for self-service delivery of analytics. - Design and develop APIs, database objects, machine learning algorithms, and necessary server-side code to support applications. - Work closely with team members to quickly integrate new components and features into the current application ecosystem. - Continuously evaluate industry trends for opportunities to utilize new technologies and methodologies, and implement these into the solution stack as appropriate. Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements: - Bachelor's or advanced degree in Computer Science, Applied Mathematics, Engineering, or related field with 8 to 12 years of experience in using data technologies to deliver cutting-edge business intelligence solutions. - Strong communications and presentation skills, with the ability to articulate big data platforms and solution designs to both technical and non-technical stakeholders. - Knowledge in key data engineering technologies, including Big Data Tools, Cloud Services, Object-Oriented or Object Function Scripting Languages. - Working knowledge of statistics and machine learning concepts. - Demonstrated ability to write, tune, and debug performant SQL. - Experience with related technologies such as C#, .Net, HTML5, JavaScript, SQL Server, TeraData, Hadoop, Spark, and R. - Demonstrated ability creating rich web interfaces using a modern client-side framework. - Strong knowledge of computer science fundamentals, and demonstrated ability in applying these effectively in the real-world. Desirable Requirements: - Bachelor's degree. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live, and play. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Join us to build a future that works for everyone because Progress Takes All of Us.,

You are a Junior Data Analyst Associate joining an immediate project for PMC Elections 2025 in Pune. Your role involves handling and ensuring accuracy of large-scale political and voter data through cleaning and validation. You will present actionable insights via visual dashboards, requiring a strong understanding of political dynamics and data interpretation. Your responsibilities include collecting, cleaning, and validating datasets on voter behavior, booth-level trends, and campaign outreach. Analyzing data to identify patterns, outliers, and correlations relevant to the PMC election. Creating visual reports and dashboards using tools like Excel, Tableau, Power BI, etc. Collaborating with political consultants and field teams to convert insights into campaign strategies. Maintaining confidentiality and handling sensitive data responsibly. Presenting findings clearly and concisely for internal stakeholders. You must be fluent in Marathi and hold a Bachelor's degree in Data Science, Statistics, Computer Science, Political Science, or related field. Previous experience in data cleaning, analysis, and visualization is required. Proficiency in Excel, optional Python/R, and visualization tools like Power BI/Tableau is essential. Strong attention to detail, critical thinking, and communication skills are necessary for this role. Immediate availability and commitment to project timelines are also expected.,

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. Must have hands-on experience in Adobe Experience Platform / AEP. Experience in Adobe Analytics and Adobe Launch. Good to have experience in Adobe target. Hands-on with Google SQL / Big Query. Experience in Adobe experience Platforms, Google Analytics, Adobe Omniture site catalyst, and Adobe data workbench. Efficient in blending various data sources using Big Query / SQL. Good understanding and experience in JavaScript, Python or R Proficient with debugging tools like dataslayer. You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for combining deep data science expertise with supply chain domain knowledge. Your role will involve engaging with Supply Chain Leaders globally to define analytical solutions that drive process optimization, predictive insights, and strategic decision-making across the supply chain ecosystem. You will lead 1-3 client engagements simultaneously, ranging from high-intensity pilots to full-scale solution implementations. This will involve interfacing with global Supply Chain Leaders to identify analytical needs and solution requirements, building and maintaining strong client relationships, and translating complex supply chain challenges into data-driven analytical frameworks. In terms of team leadership and project management, you will lead and mentor teams of Analysts, Senior Analysts, and Engineers, maintain command over project status and deliverables, actively contribute to technical solutions, and drive last-mile adoption through effective change management strategies. Your responsibilities will also include designing and implementing advanced analytics solutions for supply chain optimization, building predictive models for demand forecasting and inventory optimization, developing machine learning algorithms for procurement analytics and transportation optimization, and creating repeatable analytical tools and data models to solve specific business problems. You will apply statistical methods and operations research techniques to address complex supply chain challenges. Additionally, you will design sustainable, scalable, and self-serve analytical solutions for clients, oversee the development of data pipelines and ETL processes for supply chain data, ensure the integration of analytical solutions with existing supply chain software, and drive the adoption of cloud-based analytics platforms and modern data architectures. To be successful in this role, you should have a Master's degree with 6+ years of relevant experience in Supply Chain Analytics/Data Science or a Graduate degree with 7+ years of relevant experience. You should also possess deep expertise in at least one supply chain function, advanced proficiency in programming languages like Python/R, strong database management skills, experience with machine learning, and proficiency in data visualization tools. In summary, this role offers a tremendously impactful opportunity to join the Supply Chain Practice Leadership team, with independence in design and execution, opportunity for career growth, access to cutting-edge analytics tools, global exposure, and substantial performance-based compensation. As an Associate Manager, you will be expected to demonstrate expertise in analytical thinking, technical design, process consulting, program management, product management, and growth leadership.,

As a Sales Excellence - COE - Advanced Modeling Specialist at Accenture, you will be part of the team that empowers individuals to compete, win, and grow by providing the necessary tools to enhance client portfolios, optimize deals, and nurture sales talent through sales intelligence. In this role, you will utilize your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, Finance or related fields, familiarity with Salesforce Einstein Analytics, and understanding of optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar would be advantageous. Your responsibilities will include generating business insights to enhance processes, increase sales, and maximize profitability for Accenture. You will develop models and scorecards to aid business leaders in comprehending trends and market drivers, collaborating with operations teams to transform insights into user-friendly solutions, and managing tool access and monitoring usage. To excel in this role, you should have a Bachelor's degree or equivalent experience, exceptional English communication skills, a minimum of four years of experience in data modeling and analysis, proficiency in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools, project management experience, strong business acumen, and meticulous attention to detail. Furthermore, a sound understanding of sales processes and systems, prior experience with Google Cloud Platform (GCP) and BigQuery, working knowledge of Salesforce Einstein Analytics, familiarity with optimization techniques and packages, and experience with Power Apps would be beneficial. This position requires a minimum of 2 years of relevant experience and a Master's degree in Analytics or a similar field. Join us at Accenture, where we are committed to driving sales excellence and enabling you to leverage your analytical skills to make a meaningful impact.,

A career in the Advisory Acceleration Centre is the natural extension of PwC's leading-class global delivery capabilities. The team provides premium, cost-effective, high-quality services that support process quality and delivery capability in client engagements. Our Management Consulting team collaborates with global clients to design and implement growth, operational, and customer-focused strategies for sustainable competitive advantage. Leveraging our thought leadership and extensive experience, we assist clients in transforming challenges into market advantages across the value chain and worldwide. We specialize in various industries to offer consulting services that focus on enhancing the most profitable elements of the value chain, fostering scalable businesses that yield increased sustainable profits. As a Management Consultant, you will engage with clients and project teams to support global engagements from India. Your responsibilities will include conducting analyses, developing insights, preparing excel models, analyzing large datasets, capturing as-is processes, designing to-be processes, supporting project leads, collaborating with client teams, facilitating decision-making meetings, organizing recommendations on client issues, and actively participating in new business development, thought leadership, and firm building activities. Within the Health Transformation (HT) team, you will collaborate with healthcare clients to drive strategic vision and objectives, assess market expansion and growth strategies, research market trends, drive operational and process improvements, evaluate cost transformation alternatives, and enable technology-driven success. Your role will involve providing client solutions in areas such as Pharma & Life Sciences and Provider segments. For the Capability of R&D Operations and Strategic Planning, essential knowledge includes a strong understanding of the US Pharmaceutical and Life Sciences landscape, R&D operations, clinical trial data management systems, and qualitative/quantitative benchmarking. Preferred knowledge comprises experience in decision analytics, clinical systems validation, data tabulation models, ETL data processes, project/portfolio management tools, and more. In the Clinical Trial Strategy Capability, essential knowledge encompasses understanding the clinical trials landscape, experience in trial design/strategy, strategic recommendations for trial efficiency, knowledge of therapeutic areas, and working with databases like ClinicalTrials.gov. Preferred knowledge includes understanding GCP guidelines, industry standards, regulatory requirements, and contributing to study process improvement. The required skill sets include an analytical mindset, strong quantitative and problem-solving skills, proficiency in tools like Python, SQL, MS Office, and G-Suite. Preferred skills involve research ability, data integration, expertise in visualization tools like Tableau, PowerBI, and proficiency in programming languages and SaaS. Additional skills applicable across capabilities include effective communication, storytelling, hypothesis-based problem-solving, flexibility in adapting to changing needs, and global delivery model experience. Educational background preferences include an MBA/MHA from a premium B-School, MPharm, MBBS/BDS + MBA, or MS in Biotechnology/Pharmaceutical Sciences. The role is for an Experienced Associate in Pharma and Life Sciences, requiring 12 to 36 months of relevant work experience with travel to client locations and flexible work hours. The office location is in Bangalore (Preferred).,

As a Data Scientist specializing in Machine Learning and Artificial Intelligence (ML & AI), your primary responsibility will be to tackle business challenges by leveraging data-driven solutions. Your role will involve collaborating closely with product teams to extract insights from complex data sources and steer the direction of our products based on data-driven recommendations. Being a Subject Matter Expert in data science, you will have a crucial role in shaping our analytics strategy and ensuring that our decisions are well-supported by rigorous data analysis. Your key responsibilities will include: - Problem Solving: Translating intricate business issues into machine learning solutions driven by data. - Model Development: Creating, managing, and designing machine learning and advanced analytics models to generate actionable insights. - Data Analysis: Analyzing data from various sources to maintain integrity, accuracy, and relevance. - Insight Sharing: Communicating findings and insights to stakeholders to facilitate data-driven decision-making. - Subject Matter Expertise: Serving as the go-to expert in the field of data science, offering guidance and knowledge to other teams and stakeholders. - Product Leadership: Influencing product teams with data-based recommendations and ensuring alignment with business objectives by conveying business status, experiment outcomes, and other pertinent insights. Desired Technical Skills: - Proficiency in programming languages such as Python, R, or other relevant data science languages. - Experience working with machine learning libraries like TensorFlow, Keras, Scikit-learn, or similar. - Competence in utilizing data manipulation tools like Pandas, NumPy, or equivalent. In addition to a challenging and rewarding work environment, some of the perks and benefits of this role include: - 5 Days Working - Flexible Timings Please note that we are currently not hiring for the Data Scientist (ML & AI) position. Kindly check back later for any updates on the hiring status.,

The Risk division at Goldman Sachs is responsible for managing credit, market, operational risk, model risk, independent liquidity risk, and insurance across the firm. Analytics & Reporting (A&R) is a team within Risk Engineering in the Risk Division of Goldman Sachs. A&R ensures that the firm's senior leadership, investors, and regulators have a comprehensive understanding of the positional, market, and client activity drivers of the firm's risk profile. This enables them to make informed and timely decisions regarding risk management. Risk Engineering is a diverse group of quantitative experts who are the authoritative producers of independent risk and capital metrics for the firm. They model, produce, review, interpret, explain, and communicate risk and capital metrics and analytics to ensure that the firm adheres to its Risk Appetite and maintains the appropriate level of Risk Capital. Risk Engineering provides these insights to the Chief Risk Officer, senior management, regulators, and other stakeholders within the firm. As part of the A&R team, your role will involve delivering crucial regulatory and risk metrics and analytics across various risk domains such as market, credit, liquidity, operational, and capital. This includes providing regular reporting, customized risk analysis, systematically generated risk reporting, and developing risk tools. You will have a unique perspective on the firm's risk data flows, allowing you to build scalable workflows, processes, and procedures that deliver actionable risk insights. Your responsibilities will include delivering reliable risk metrics and insights based on a deep understanding of the firm's businesses and client activities, building efficient workflows for risk analytics production, and ensuring the quality, timeliness, and completeness of underlying data used for analytics. To be successful in this role, candidates are expected to have a Masters or Bachelors degree in a quantitative discipline, such as mathematics, physics, econometrics, computer science, or engineering. Additionally, you should possess analytical creativity, be self-motivated, and have strong written, verbal, and team-oriented communication skills. Experience with programming languages like Python, Java, C++, SQL, and R, as well as knowledge of data visualization tools and business intelligence solutions, are preferred. A working knowledge of the financial industry, markets, and products, along with expertise in mathematics, statistics, and numerical algorithms, is also essential. Candidates with at least 5 years of experience in financial or non-financial risk industries will be preferred. Goldman Sachs is committed to diversity and inclusion, providing opportunities for professional and personal growth to all individuals within the firm. They offer a range of benefits, wellness programs, and training opportunities to support their employees. The firm is dedicated to accommodating candidates with special needs or disabilities during the recruiting process. The Goldman Sachs Group, Inc., 2023. All rights reserved.,

As a Director of Data Science based in Noida, Uttar Pradesh, India, you will play a crucial role in developing problem statements and high-quality quantitative models for business insights within the Banking, Capital Markets, and Insurance sectors. Your responsibilities will involve utilizing your strong knowledge and skills in statistics, mathematics, and computer science to design and deliver cutting-edge analytics solutions. By leveraging your expertise in R, SAS, or Python, along with a comprehensive understanding of leading Analytics techniques and tools, you will address priority issues and enhance performance through Advanced Analytics. You will be tasked with defining analytic strategies, technical requirements, and data requirements for various analytic solutions. Additionally, you will refine credit scoring models across different credit products, integrate advanced analytics into business intelligence solutions, and engage in technical problem-solving across multiple technologies. Your role will also encompass collaborating with cross-functional teams to develop frameworks for analyzing information, situations, and data, emphasizing the importance of separating critical insights using the 80/20 principle. The ideal candidate for this position should hold a PHD or M.S. in statistics, economics, mathematics, or a related field. It is essential to be an expert in Credit scoring models and possess a minimum of 5 years of relevant experience, although exceptions may be made for exceptional candidates. Proficiency in R is required, while familiarity with Matlab, SQL, SAS, and Python would be considered advantageous. A proactive problem solver with a positive attitude, you should excel at independently researching and resolving partner queries promptly. Collaboration and teamwork are highly valued in our environment, where developing high-level relationships with partners is essential for fostering new business opportunities. In terms of compensation, the package offered will be competitive and aligned with industry standards. Additionally, you will have the opportunity to receive ESOPs from one of the most successful fintech companies in India, enabling you to make a significant impact on people's lives and drive positive change within the banking services sector.,

You will be responsible for the operations of new platform which will be a key enabler for field force engagement and for the other functions including medical, market access and marketing as an integrated CRM system. Ownership of Commercial Data Platform which integrates all Customer Engagement data and Commercial data. Data Stewardship and maintain MDM solution to manage HCP golden card and ensure seamless data integration across platforms. Work on identifying data, system gaps and actively work with Go-Cart team to mitigate the gaps by initiating short-term projects. Closely collaborate with commercial effectiveness teams in the affiliates for day-day operational needs and process development of the new CRM platform. Will be responsible for driving continued adoption of the systems and business processes alignment. Furthermore, you will be responsible for Support the new customer engagement journey within India in collaboration with MCE/Marketing/Medical/Market Access units. Define & Drive Operational governance for Customer Engagement Platforms & data in collaboration with Cross-Functions. Close collaboration with Digital Data & IT teams in maintaining existing systems and identifying future use cases for maturity of Customer Engagement platform ecosystem. Ensure the effective training and capability buildings within the organization around CRM, for affiliate teams. Engage with stakeholders across India to anchor new processes and competencies. You will champion the continued improvement of the system and business processes to drive continuous process alignment, partnering with affiliates (cross-functional teams) to understand and manage needs which includes process ownership and governance. Qualifications: - B.Tech or Degree in Computer Science, or a related quantitative field. - Hands-on experience with Admin & Operations around Salesforce based CRM tools like IQVIA OCE with a good knowledge. - Good understanding of Salesforce (OCE) data model. - Excellent analytical and problem-solving skills and ability to work with copious amounts of information to see bigger picture. - Passion, drive and confidence to work within technical and business teams in a collaborative, creative way. - Extensive experience in developing intuitive and attractive, static and interactive data visualizations using both internal company datasets and external datasets. - Knowledge of graphics and visualization tools such as Adobe CS 5 Suite incl. Illustrator, Photoshop, InDesign, Flash etc. - Good understanding of database design, modelling for data warehouse. - Good understanding of Scripting (PL SQL, stored procedure etc.). - Exposure to Python or R would be an added advantage. About The Department: Novo Nordisk is a Denmark based multinational with leadership in diabetes. Novo Nordisk India affiliate office is in Bangalore & has more than 1400 people working across the country in various functions. The BI Analyst reports directly to the Manager CRM & Data Science. Working at Novo Nordisk: Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with an unconventional spirit, a rare determination and a constant curiosity. For over 100 years this unordinary mindset has seen us build a company unlike any other. One where a collective passion for our purpose, mutual respect and a willingness to go beyond what we know delivers extraordinary results. Contact: To submit your application, please upload your CV and motivational letter online (click on Apply and follow the instructions). Internal candidates are kindly requested to inform their line Managers before applying. Deadline: 25th Jul 2025 Disclaimer: It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Novo Nordisk and/or its affiliate companies. The individuals or organizations sending these false employment offers may pose as a Novo Nordisk recruiter or representative and request personal information, purchasing of equipment or funds to further the recruitment process or offer paid trainings. Be advised that Novo Nordisk does not extend unsolicited employment offers. Furthermore, Novo Nordisk does not charge prospective employees with fees or make requests for funding as a part of the recruitment process. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we're life changing.,

Are you seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment Here is a unique chance for you to collaborate with the Business Intelligence team to offer a comprehensive perspective. The Business Intelligence team is focused on leveraging data-driven and advanced analytical approaches to identify, prioritize, and accelerate high-value revenue growth opportunities within the Global Banking business. By utilizing both existing and new data sets, including JPMC-proprietary and third-party market research, the team determines the most profitable opportunities for acquiring new clients and enhancing existing relationships. The team aims to develop actionable business insights and assist business intelligence leads in identifying the most optimal growth prospects. As a Strategy & Business Intelligence Associate within our Global Banking Intelligence team, you will be at the forefront of data analytics and business problem-solving. Your responsibilities will involve defining, refining, and achieving set objectives for our firm through the application of relevant, timely, and effective data-driven strategies. Job Responsibilities: - Ownership and management of workstreams within strategic projects in the business intelligence portfolio - Acting as an internal consultant by framing problems, structuring analysis, and providing actionable insights to stakeholders - Engaging with JPM senior leadership and bankers on progress updates, steerco meetings, data gathering exercises, etc. - Communicating actionable insights to business stakeholders using various delivery mechanisms such as dashboards, email alerts, PowerPoint presentations, etc. - Adapting to a fast-paced environment with multiple projects and potentially conflicting priorities Required qualifications, capabilities, and skills: - Minimum of 3 years" experience in Strategy, Data Analytics, or Consulting - Demonstrated ability in business problem-solving to extract actionable insights supporting business growth objectives from diverse data and research resources - Strong business acumen and a quantitative/analytical mindset - Ability to interact with senior leadership and global stakeholders, possessing strong presentation, communication, and collaboration skills - Proficiency in any of the following software packages: Python, R, or SQL, along with familiarity with relational database concepts, and a keen interest in continuous learning Preferred qualifications, capabilities, and skills: - Prior experience in management consulting is preferred - Background in financial services is advantageous - MBA/M.Tech from a top-tier school; additional qualifications in data/business analytics are a plus - Expertise with tools such as Alteryx, Tableau, and Qliksense - Strong quantitative background or experience in statistics and machine learning is desirable,

As a Data Scientist at WAC, you will play a crucial role in transforming intricate data into actionable insights that drive business strategies and foster innovation. Your primary responsibility will involve collaborating with diverse teams to create and implement data science solutions that align with our business objectives. Your tasks will include data exploration, where you will gather, cleanse, and preprocess data from a variety of sources to ensure its quality and reliability. Leveraging advanced statistical and machine learning techniques, you will conduct in-depth analyses to derive meaningful insights. Additionally, you will be responsible for developing, refining, and optimizing predictive models that tackle specific business challenges and opportunities. Creating visually engaging reports and dashboards to present findings to technical and non-technical stakeholders will be a key aspect of your role. You will also be involved in formulating and testing hypotheses, as well as designing and executing A/B tests to evaluate the impact of changes and enhancements. Your ability to communicate complex technical findings in a clear and understandable manner will be vital in supporting decision-makers. Collaboration will be integral to your work, as you will liaise with teams across the organization to grasp business goals and provide data-driven insights and recommendations. Continuous learning is encouraged, and staying abreast of the latest trends in data science, machine learning, and analytics will enable you to apply cutting-edge techniques and tools effectively. To qualify for this role, you should hold a Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines. With a minimum of 4 years of experience in a Data Scientist or similar position, you must demonstrate proficiency in data analysis tools and languages like Python or R. A strong grasp of machine learning techniques and libraries, coupled with familiarity with data visualization tools such as Tableau or Power BI, is essential. Your problem-solving abilities, critical thinking skills, and aptitude for effective communication, especially in simplifying complex technical concepts for non-technical stakeholders, will be crucial. An understanding of data ethics and the responsible use of data is also expected from potential candidates. Thank you for your interest in joining Webandcrafts. We eagerly anticipate delving deeper into your application to assess your suitability for this role.,

Job Description: As a Data Scientist, you will collaborate with cross-functional teams to identify business problems and opportunities where data can be leveraged to drive insights and impact. Your responsibilities will include developing and implementing statistical and machine learning models to extract insights from data. You will conduct exploratory data analysis to uncover patterns, trends, and anomalies, as well as develop algorithms and tools to preprocess, clean, and transform large datasets. Additionally, you will be responsible for developing predictive models and machine learning algorithms to forecast trends and predict outcomes. Moreover, you will work on implementing data-driven solutions for business problems, collaborating with software engineers and data engineers to deploy and scale data models and algorithms. Your role will involve communicating findings and insights to stakeholders using data visualization tools and techniques. It is essential to continuously learn and stay up to date with the latest trends, technologies, and frameworks in data science and machine learning. Basic Qualifications: - Bachelors or masters degree in computer science, Statistics, Mathematics, or a related field - 1-4 years of experience in data science or a related field - Strong knowledge of statistical and machine learning techniques - Proficiency in programming languages such as Python, R, or Java - Experience with data visualization tools and techniques using BI dashboards - Familiarity with SQL and relational databases - Experience with data preprocessing, cleaning, and transformation - Strong analytical and problem-solving skills - Good communication and collaboration skills Employment Type: Full-time Workplace Type: On-site Salary: Commensurate with experience and skills Experience Required: Minimum 1-4 years of experience in software development Job Location: Kolkata/Durgapur/Jaipur/Madurai,

This position requires a seasoned professional as a Senior Manager with specialized knowledge of credit risk management. You will be overseeing the development, enhancement, and validation of credit risk models, ensuring compliance with regulatory standards, and driving innovation in risk management practices. The ideal candidate should have hands-on experience in Credit Risk Model Validation or Development with SAS and Python. You should also possess good hands-on experience in Regulatory Models such as AIRB, CECL, CCAR, Basel, IFRS9. You will primarily work as a consultant for the centralized advanced analytics team of a banking or financial firm focusing on Credit Risk Model Development/Validation and Researcher Specialist. Your responsibilities will include interacting with various business units including risk, finance, controllership stakeholders, and coordinating with auditors and model development or validation teams to ensure adherence to Enterprise Modeling Governance standards. Your activities will involve providing thought leadership, developing and executing modeling strategies, designing, developing, and validating predictive models, conducting testing and validation methodologies, providing analytical support for risk mitigation, assessing data quality, leading and mentoring junior team members, proposing monitoring system improvements, conducting in-depth research on credit risk modeling policies, and contributing to white-paper creation. Minimum Qualifications: - Experience in developing, validating models and risk management of credit risk models. - Knowledge of various statistical techniques and proven skill in regulatory and non-regulatory credit risk modeling. - Understanding and experience with regulatory risk model development/validation guidelines such as SR 11-7, Basel IRB, CCAR, CECL, IFRS9, etc. - End-to-end development or independent validation of credit risk and regulatory models (PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML, counter fraud models, etc.). - Expertise in developing statistical/mathematical and machine learning based models, working with large data sets using SQL, ETL, SAS, Python, R. - Master's degree in a quantitative discipline (Statistics/Economics/Finance/Data Science, etc.). - Strong client management, communication, presentation skills. - Self-driven, proactive, with a "can-do" attitude, able to work under ambiguity and minimal supervision. - Strong project management experience, ability to communicate and coordinate across multiple business units. - Lead projects, provide thought leadership, technical guidance, training, and oversight. Preferred Qualifications: - Strong networking, negotiation, influencing skills. - Knowledge of credit risk management for retail and wholesale lending products. - Hands-on experience in Machine Learning modeling techniques. - Prior Project Management and People Management expertise. Required Skills And Certifications: - Model Validation. - SAS. - Python. - Regulatory Model. - Model Development. - Credit Risk.,

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. The Business Intelligence team has the mandate to use data-driven and advanced analytical approaches to identify, prioritize, and accelerate high-value revenue growth opportunities for the Global Banking business. Leveraging existing and new data sets, both JPMC-proprietary and third party market research, the team identifies the best opportunities for the business to profitably add new clients and deepen existing relationships, to develop actionable business insights and support business intelligence leads to articulate the most optimal growth opportunities. As a Strategy & Business Intelligence Senior Associate in our Global Banking Intelligence team, you will work at the intersection of data analytics and business problem solving. You will spend each day defining, refining, and delivering set goals for our firm through the use of relevant, timely, and effective data-driven strategy. Own and drive workstreams within broader strategic projects within the business intelligence portfolio Act as an internal consultant framing problems, structuring analysis, and providing actionable insights to stakeholders Engage with JPM senior leadership and bankers on progress updates, steerco meetings, data gathering exercises, etc. Communicate actionable insights to business stakeholders through appropriate delivery mechanisms such as dashboards, email alerts, PowerPoint presentations, etc. Adapt to a fast-paced environment with multiple projects and often competing priorities Minimum of 5 years" experience in Strategy or Management Consulting Demonstrated business problem-solving capability to draw actionable insights to support business growth objectives from a variety of data and research assets Strong business understanding and quantitative analytical skills Strong communication and collaboration skills; Ability to engage with senior leadership and global stakeholders with strong presentation, MBA/ M.Tech from a top tier school; additional qualification in data/business analytics preferred Knowledge of any of the following software packages: Python, R, or SQL and familiarity with relational database concepts, and a passion for learning Financial services experience preferred Expertise with tools like Alteryx, Tableau, and Qliksense Background in using statistics and machine learning for business problem solving preferred,

The Portfolio Models and Alpha Model Validation Specialist, Associate role based in Mumbai, India is a part of the Model Risk Management (MoRM) team at Deutsche Bank. MoRM is responsible for managing model risk by independently validating internal models and monitoring and controlling model risk. The Portfolio Models and Alpha validation team within MoRM focuses on validating portfolio models developed for Credit Risk, Business Risk, Operational Risk, and Risk Type Diversification. As a Portfolio Models and Alpha Model Validation Specialist, your key responsibilities will include independent validation of models and model changes, performing quantitative analyses, enhancing validation concepts, and ensuring adherence to model risk standards like SR11-07. To be successful in this role, you should have an academic degree in Mathematics, Statistics, Physics, Econometrics, or a similar discipline. You should possess 2-7 years of professional experience in Operational risk and Portfolio Risk model development or validation. Strong mathematical abilities and proficiency in programming languages like Python, Matlab, R, C++, and experience in Machine Learning are essential. Additionally, you should have IT affinity, data analysis skills, and a good understanding of IT processes. The role offers benefits such as a best-in-class leave policy, gender-neutral parental leaves, reimbursement under childcare assistance benefit, sponsorship for industry relevant certifications, Employee Assistance Program, comprehensive insurance coverage, and health screening. Training and development opportunities, coaching, and a culture of continuous learning are provided to support your career growth. Deutsche Bank promotes a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They encourage a positive, fair, and inclusive work environment where all individuals are welcome. For more information about Deutsche Bank, please visit their company website at https://www.db.com/company/company.htm.,

Role Title: Manager, Cross Platform Strategy Analytics (09) Synchrony is a premier consumer financial services company that provides a complete digitally enabled product suite across various industries. Recognized as one of India's Best Companies to Work for and a leader in fostering a culture of innovation, we are committed to diversity and providing our employees with flexibility, choice, and top-notch benefits. As a Manager in the Cross Platform Strategy Analytics team within the India Analytics Hub, you will play an integral role as an individual contributor. Your primary focus will be on leveraging data and analytical tools to deliver solutions that enhance customer experience and drive business growth. You will be responsible for understanding business requirements, developing prototypes, and generating actionable insights to support Synchrony's growth and profitability. Key Responsibilities: - Independently solve a variety of problems using your expertise in Data and Analytical Tools - Collaborate on cross-platform initiatives and develop scalable solutions - Partner on strategic ideas and proof of concepts to drive revenue growth - Ensure timely delivery, accuracy, and documentation in alignment with Audit Procedures - Mentor and guide team members on tools and processes Required Skills/Knowledge: - BS or MS in Statistics, Economics, Mathematics, or a related quantitative field with 2+ years of hands-on Analytics experience - Proficiency in SQL, SAS, Tableau, or Open Source Tools with the ability to independently build queries for data extraction and aggregation - Understanding of key concepts in Retail Finance and the ability to translate them into quantitative attributes - Capability to define methodology, present insights, and influence decision-making Desired Skills/Knowledge: - 2+ years of analytics/data science experience in the Financial Services Industry - Proficiency in Python and R, preferably in a Linux-based cloud environment like AWS - Knowledge of multivariable calculus, linear algebra, and ML methods such as k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria: - BS or MS in Statistics, Economics, Mathematics, or a related quantitative field with 2+ years of hands-on Analytics experience - Flexible Shifts For Internal Applicants: - Understand the criteria and mandatory skills required for the role before applying - Inform your Manager or HRM before applying for any role on Workday - Ensure your Professional Profile is updated and upload your updated resume - Not under any corrective action plan - L4 to L7 Employees who have completed 12 months in the organization and 12 months in the current role are eligible - L8+ Employees who have completed 18 months in the organization and 12 months in the current role are eligible - L4+ employees can apply Grade/Level: 09 Join our dynamic team to drive innovation and growth through data-driven strategies in the Data Analytics domain.,

You will be responsible for supporting clients in capturing, validating, and curating cost data at various project stages, including two-stage award and project completion. Your duties will include reviewing cost data provided by contractors, validating correct allocation against the clients Work Breakdown Structure, and ensuring appropriate tags and yardsticks are attributed. Your key responsibilities will include managing the cost database to ensure it remains fit for purpose, normalizing for inflation, and supporting teams in analyzing trends, monitoring performance, and recommending efficiency improvements and risk mitigations. You will also analyze project data and technical drawings, allocate costs to various assets, develop databases for cost and carbon data, collaborate with stakeholders for accurate data collection, and prepare detailed reports and presentations. In order to qualify for this role, you should have a Bachelor's degree in engineering and a Master's Degree in Environmental Science (preferable) or equivalent. Strong communication, analytical, and problem-solving skills are essential. Proficiency in data analysis tools and software such as Excel, SQL, Python, PowerBI, and R is required. Attention to detail, accuracy, and the ability to establish effective working relationships are also important. Knowledge of industry standards and regulations related to cost and carbon reporting would be beneficial. Relevant experience in Water supply system, Wastewater drainage system, and sound knowledge in Cost and Contracts for large-scale Water supply projects are preferred. Proven experience in data analysis, cost allocation, and carbon reporting, as well as the ability to follow prescriptive processes, are desired qualities for this position.,

As an AI/ML Developer, you will be an integral part of our team of researchers, data scientists, and developers. Your primary responsibility will be to work on cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. This will involve developing and optimizing machine learning and generative AI models to address real-world challenges effectively. Your key responsibilities will include developing and optimizing ML, NLP, Deep Learning, and Generative AI models. You will be expected to research and implement state-of-the-art algorithms for both supervised and unsupervised learning. Working with large-scale datasets in distributed environments will be a crucial aspect of your role. It is essential to have a deep understanding of business processes to select and apply the most suitable ML approaches and ensure the scalability and performance of ML solutions. Collaboration with cross-functional teams, including product owners, designers, and developers, will be essential for the success of projects. You will be required to solve complex data integration and deployment challenges and effectively communicate results using data visualization techniques. As part of a global team, you will collaborate across different time zones. The ideal candidate will have strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers is crucial. Experience with Large Language Models (LLMs), model fine-tuning, and prompt engineering is highly desirable. Proficiency in Python, R, or Scala for ML development is required, along with knowledge of cloud-based ML platforms such as AWS, Azure, or GCP. Experience with big data processing tools like Spark, Hadoop, or Dask is a plus. The ability to scale ML models from prototypes to production, coupled with strong analytical and problem-solving skills, will be key to excelling in this role. If you are passionate about pushing the boundaries of ML and Generative AI, we are excited to hear from you!,