3930 R Jobs - Page 18

Key Responsibilities: Customer Success Leadership: Serve as a trusted advisor to customers, influencing their outcomes and accelerating Data Cloud & Agentforce consumption. Strategic Engagement: Partner with strategic customers to understand their business and technical goals, and create tailored plans to drive adoption and ROI. Cross-functional Collaboration: Work closely with sales, product, engineering, and support teams to ensure a seamless customer experience. Onboarding & Enablement: Lead customer onboarding, ensure successful go-lives, and guide continuous consumption post-sale, ensuring full integration of Data Cloud & Agentforce into their operations. Value Realization: Develop and execute strategies that deliver business value, helping customers achieve their goals while driving scalable consumption and growth. Technical Guidance: Provide deep product expertise to customers, including hands-on guidance on Data Cloud & Agentforce architecture and best practices. Risk Mitigation & Problem Resolution: Proactively identify and address potential risks, working with customers and internal teams to mitigate challenges and keep projects on track. Executive Relationships: Build strong, long-lasting relationships with customer executives and key decision-makers to ensure sustained success and value from the Salesforce platform. Feedback Loop: Collaborate with Salesforce Product teams to provide customer feedback, advocate for product improvements, and contribute to future feature development. Required Experience and Skills: Experience: 7+ years in customer-facing roles involving Data, AI, Analytics, and CRM solutions, with a proven track record in guiding customers to success. Technical Expertise: Strong technical background with hands-on experience in CRM, Data Architecture, and AI/ML technologies. Expertise in Salesforce platforms (Admin, Advanced Admin), marketing tools (Salesforce Marketing Cloud), and modern cloud data platforms (Snowflake, Databricks, BigQuery, RedShift). AI & ML Knowledge: Experience with machine learning, AI concepts (both predictive and generative AI), and communicating technical concepts effectively to both technical and non-technical audiences. Industry Expertise: In-depth understanding of industry-specific use cases, integration patterns, and how to leverage data architecture to deliver business value. C-Level Communication: Proven ability to influence and communicate effectively with senior executives, guiding difficult conversations and driving action. Proactive & Independent: A self-starter who thrives in an autonomous role, with the ability to manage tasks independently while collaborating with remote teams and customers. Data Ethics & Privacy: Commitment to upholding data security, privacy, and ethical standards while ensuring customers comply with relevant regulations. Facilitation Skills: Expertise in facilitating workshops, whiteboarding sessions, and discovery conversations that uncover customer needs and drive innovative solutions. Technical Abilities: Salesforce Platform Knowledge: In-depth knowledge of Salesforce's cloud solutions and hands-on experience with Salesforce Clouds, including Data Cloud and Agentforce. Data Architecture & Analytics Tools: Experience with modern cloud data platforms (e.g., Snowflake, Databricks), analytics tools (e.g., Tableau, Looker, Power BI), and programming frameworks (e.g., Python, R, Jupyter Notebooks). Machine Learning & AI Expertise: Hands-on experience with machine learning frameworks, including predictive and generative AI models, and the ability to integrate these into customer solutions. Emerging Technologies: Passion for exploring and experimenting with new AI technologies, including large language models (LLMs) and agent-based systems. Preferred Qualifications: Hands-on experience in building and deploying 0-1 products at startups or large companies. Advanced certifications in Salesforce or related technologies. Strong network within the Salesforce ecosystem and industry-specific knowledge.

We are seeking a highly skilled and analytical Sr Advanced Data Analyst to join our team at Sparta Systems. In this crucial role, you will leverage your expertise to drive data-driven insights and analytics, optimizing operational efficiency and enhancing decision-making across the organization. You will be instrumental in translating complex data into actionable recommendations for cross-functional teams. Roles and Responsibilities: Analyze large volumes of data to provide actionable insights for optimizing operational efficiency. Develop and implement robust data analytics strategies to drive continuous improvement initiatives. Collaborate effectively with cross-functional teams to address business demands and develop thoughtful data-driven solutions. Translate complex data findings into clear, concise, and actionable insights to facilitate informed decision-making. Ensure data integrity and accuracy through meticulous data analysis and validation processes. Skills Requirement: Strong analytical and problem-solving capabilities. Proficiency in data analytics tools and programming languages such as Python, R, and SQL. Excellent communication and people-oriented skills, with the ability to effectively influence and coach others. Proven track record of driving data-driven decision-making and delivering measurable business results. Experience in advanced data analysis techniques, including machine learning and predictive modeling. Familiarity with data governance and data quality initiatives. QUALIFICATION: Bachelor's degree in a relevant field such as Data Science, Analytics, or Engineering.

As an Analytics Manager specializing in Power BI, Python, and Tableau within the Insurance Domain, you will play a crucial role in designing, developing, and implementing Power BI dashboards. Your expertise in Power BI, Python, Tableau, and SQL is essential for this role. You will be responsible for leading, mentoring, and developing a team of data analysts and data scientists. Your key responsibilities will include providing strategic direction for analytical projects, defining and implementing the company's data analytics strategy, and conducting complex data analysis to identify trends and patterns. You will oversee the development of interactive dashboards, reports, and visualizations to make data insights easily accessible to stakeholders. Ensuring data integrity and consistency across systems, collaborating with cross-functional teams, and staying current with the latest data analytics trends and technologies are also important aspects of this role. Additionally, you will lead data-driven projects from initiation to execution, managing timelines, resources, and risks effectively. To be successful in this role, you should have a Bachelor's degree in data science, Statistics, Computer Science, Engineering, or a related field, with at least 10 years of experience in data analysis and 2 years in a managerial or leadership position. Proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau, and Power BI is required. Strong knowledge of data modeling, ETL processes, and database management, along with exceptional problem-solving and critical thinking skills, are essential. Effective communication of complex technical concepts to non-technical stakeholders, proven experience in managing and growing a team of data professionals, strong project management skills, and domain knowledge in insurance will be advantageous for this role. If you are looking for a challenging opportunity to lead data analytics projects, collaborate with diverse teams, and drive business insights within the Insurance Domain, this role is ideal for you.,

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a team, and collaborating with stakeholders to understand business requirements and define solution objectives clearly. It is crucial to identify and select the correct method to solve problems while staying up to date on the latest OR methodologies and ensuring the robustness of any mathematical solution. Additionally, you will be expected to develop and communicate recommendations and OR solutions in an easy-to-understand manner, leveraging data to tell a story. Your role will involve leading and persuading others positively to influence team efforts and help frame business problems into technical problems with feasible solutions. The ideal candidate should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience developing simulation models, optimization models, and/or heuristics, a deep understanding of the mathematics and theory behind Operations Research techniques, and proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, as well as familiarity with basic data table operations (SQL, Hive, etc.), is required. Demonstrated relationship-building skills and the ability to make things happen through positive influence are essential. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience leading highly complex cross-functional technical projects with multiple stakeholders.,

As a Data Scientist II at AGCO, you will play a crucial role in developing and executing data science and analytics use cases to address critical business opportunities. Your responsibilities will include conducting research, designing models, implementing machine learning algorithms, and deploying scalable AI solutions. You will collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions. Communication of findings and insights through data visualizations and presentations will be essential for driving informed decision-making within the organization. Your impact will involve collaborating with key stakeholders to identify impactful insights, selecting appropriate AI/ML techniques for different business problems, translating business opportunities into actionable tasks, developing analytics solutions aligned with business goals, and deploying solutions in collaboration with cloud and data engineers. You will also be responsible for mapping analytical insights into actionable recommendations, advocating for change, staying updated on data science practices, and providing leadership and mentorship to junior data scientists. To be successful in this role, you should have at least 7 years of experience in a related field with a strong track record in implementing data science projects. Technical proficiency in Python, R, and big data tools is required, along with a deep understanding of machine learning algorithms and frameworks. Experience in data mining, predictive modeling, deep learning, and working with large datasets is essential. Strong data visualization, communication, and leadership skills are also necessary, along with a background in Mathematics, Statistics, Data Science, or related fields. At AGCO, you will have the opportunity to work in a diverse and inclusive environment that values innovation and personal growth. Benefits include health care plans, flexible work options, and the chance to contribute to feeding the world through innovative technologies. Join us in shaping the future of agriculture by applying now. Please note that this job description is not exhaustive and is subject to change at the discretion of AGCO, an Equal Opportunity Employer.,

You will be joining a company that is renowned for its technical excellence and leading innovations. NTT DATA is committed to making a difference to clients and society while embracing diversity and inclusion in the workplace. It is a place where you can grow, belong, and thrive. As a Senior AI/GenAI Engineer at NTT DATA, your key responsibilities will include designing, developing, and deploying cutting-edge AI/GenAI models and solutions for various industries. You will utilize technologies such as TensorFlow, PyTorch, LangChain, Vellum, etc., on non-cloud infrastructure. Your role will involve leading the development and integration of agentic AI systems, designing vector databases for efficient similarity search in AI applications, providing technical guidance to junior team members, ensuring security of LLMs, engaging with clients to understand their AI requirements, developing tailored solutions, and more. Requirements for this role include a Bachelor's or Master's degree in Computer Science, AI, ML, or related fields, along with 8+ years of experience in engineering solutions and delivering AI solutions. You should have advanced proficiency in AI/GenAI technologies, experience with vector databases and similarity search algorithms, strong programming skills in languages like Python or R, excellent communication and interpersonal skills, and strong problem-solving abilities. It is preferred that you have experience with containerization (Docker) and orchestration (Kubernetes), as well as experience with ReactJS for rapid prototyping. The position is available in Delhi or Bangalore, with a hybrid working model. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA invests over $3.6 billion each year in R&D and offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is an Equal Opportunity Employer and part of the NTT Group headquartered in Tokyo.,

Headquartered in Toronto, Canada Role Overview We are hiring a Senior Data Analyst who can go beyond basic reporting. You must be able to analyze complex datasets across platforms like Meta Ads, Google Ads, Klaviyo, GA4, and Shopify and find insights that directly impact business growth. Your role is to identify performance issues, uncover optimization opportunities, and work with our internal team (strategy, creative, client managers) to turn those insights into clear actions. Key Responsibilities Analyze and interpret large datasets from paid media, email, web, and customer platforms Identify patterns, performance issues, and trends that affect conversion, retention, and revenue Build clean, repeatable dashboards (Google Sheets, Looker Studio, etc.) Lead campaign and flow performance audits, lifecycle behavior analysis, and funnel diagnostics Collaborate with internal stakeholders to drive data-backed execution Design scalable reporting systems and internal tools to reduce manual audits Use AI and automation to streamline recurring analysis tasks Build repeatable and scalable data practices so we can leverage AI to scale analytics Required Skills & Experience 4 - 7 years in data analysis, BI, or growth analytics Experience working with eCommerce or performance marketing datasets ideally from Meta Ads, GA4, Google Ads, Shopify, or Klaviyo Strong with Google Sheets/Excel; confident using Looker Studio or BI tools Exceptional communication: can explain data to copywriters, strategists, and AMs clearly Self-directed, highly detail-oriented, and fast-moving Able to see through the noise and focus on what matters Add this to your application or you wont be considered: Tell us your favorite fruit is strawberry. You Are Not a Fit If: You wait for instruction instead of proactively digging through data You only know how to use pre-built dashboards, not raw performance data You rely entirely on AI and cant explain the why” behind trends You can’t work under pressure or meet sharp turnaround times You won’t work outside normal hours when critical deadlines hit Required Domain Experience These are non-negotiables for this role — do not apply if you do not meet them: Experience in performance marketing, eCommerce, or DTC analytics Direct exposure to Shopify, GA4, ad platforms, or Klaviyo Understanding of business-critical metrics (LTV, AOV, CAC, retention) Bonus (Nice to Have) Familiarity with SQL, Python, or data automation tools Experience in a marketing agency or high-growth startup environment Other Notes Remote, async-friendly Required working hours: 3:30 PM to 11:30 PM IST (6am - 2 pm) (full 8-hour day) Applications that don’t follow the instructions will be rejected without review Final Warning We are not looking for a passive reporting analyst. We are looking for someone who can drive decisions with data, build systems, and move with urgency. If you’re looking for a slow-paced, hands-off data job — this is not it.

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Our team of experts in commercial data, technology, and operations collaborates to shape the future and work with leading Life Sciences clients. People are at the heart of our success, guided by our CARE values framework: - Customer-Centric: Prioritize customer needs and outcomes in every action. - Adaptive: Pursue bold and disruptive avenues with a growth mindset. - Respect: Foster a culture of collaboration, honesty, and ethical responsibility. - Execution: Deliver quality-led execution with the highest standards. We are looking for a candidate to lead a team of dynamic analytics professionals to assist clients in achieving their business goals through data analytics. Key responsibilities include partnering with client analytics teams, maintaining an understanding of pharmaceutical sales and marketing, managing reporting activities, communicating with stakeholders, providing strategic leadership, and collaborating with clients and internal teams. Core competencies for this role include technical skills in advanced excel, PowerPoint, SQL, Tableau/PowerBI, and experience in R/Python/SAS. Domain knowledge in healthcare, particularly in the life sciences industry, is essential. The candidate should excel in client communications, data analysis, handling large volumes of data, and working with offshore/onshore teams. Other essential skills include empathy, adaptability, emotional intelligence, attention to detail, planning, organizing, and teamwork. The must-have skills for this position include Tableau/Power BI, SQL, excellent communication, analytical skills, problem-solving abilities, stakeholder management, and teamwork. Additional skills in stakeholder management and knowledge of therapy areas are advantageous. Qualified candidates should hold a Bachelor's or Master's degree in engineering with strong academic performance in analytic and quantitative coursework. We offer a competitive salary and benefits package, opportunities to work on cutting-edge projects in the life sciences industry, a collaborative work environment, and professional development opportunities. Join us at Improzo to make a difference and drive innovation in commercial analytics for the life sciences sector.,

As an o9 Solutions Consultant, you will play a crucial role in transforming enterprise planning processes through the AI-first approach of the o9 platform. Your primary responsibility will be to ensure the seamless integration of planning capabilities for global enterprises, thereby unlocking significant value and enhancing operational efficiency. By resolving customer issues promptly, validating data accuracy, and refining end-to-end workflows, you will contribute to optimizing supply chains and driving better outcomes for businesses and the planet. Your expertise in industry best practices, technical architecture, and o9 solutions will be put to use as you configure the platform based on change requests and deliver solutions to complex operational and supply chain challenges. You will also collaborate with other consultants to address design issues, conduct workflow and data analytics tests, and provide training to end-users globally. Additionally, your role will involve actively participating in the enhancement of internal processes and product features based on customer feedback. To excel in this position, you must possess a minimum of 2 years of experience in implementing planning applications and hold a degree in Btech/BE/MCA/Mtech. Proficiency in languages such as SQL, MDX, T-SQL, as well as statistical, optimization, and simulation skills, will be advantageous. A deep understanding of supply chain planning concepts, strong leadership abilities, effective communication skills, and the capacity to analyze and prioritize data are essential characteristics for success in this role. At o9, we value teamwork, transparency, and continuous communication. You can expect a competitive salary, supportive work environment, opportunities for growth, and a diverse international culture. Join us in our mission to digitally transform planning and decision-making for enterprises worldwide, and be a part of a high-energy, values-driven organization committed to being the most valuable partner to our clients. o9 Solutions is a rapidly growing enterprise SaaS company with a mission to drive digital transformation in enterprise decision-making. With the o9 Digital Brain as our premier AI-powered platform, we are at the forefront of enabling major global enterprises to achieve groundbreaking transformations. As a part of our team, you will have the opportunity to work with industry leaders and contribute to shaping the future of enterprise planning. If you are looking to be part of a dynamic and innovative organization that values diversity, inclusion, and continuous improvement, consider joining o9 Solutions on our journey towards AI-powered management and 10x improvements in enterprise decision-making. Experience the excitement of driving profitable growth, reducing inefficiencies, and creating lasting value with us.,

RECODE minds is currently seeking a full-time Research Associate in Data Science to join our team for an exciting new venture within the e-learning industry. As the ideal candidate, you will play a crucial role in conducting analytical experiments with precision and regularly assessing alternative models using theoretical approaches. This opportunity offers you the chance to be part of a dynamic and innovative team that creates analysis tools impacting our products and clients positively. Your responsibilities will include researching and developing statistical learning models for data analysis, collaborating with product managers and technical trainers to address company needs, staying updated on the latest technological advancements, processing and validating data integrity, performing ad-hoc analysis, and effectively communicating results to key stakeholders. Proficiency in data science toolkits such as Python, R, Weka, NumPy, MatLab, etc., is essential, with expertise in at least one of these tools being highly desirable. You will also be required to implement new methodologies and optimize development efforts through strategic database usage and project design. The ideal candidate for this position should possess a Bachelor's or Master's degree in Statistics, Computer Science, Machine Learning, or a related field. Proficiency in Data Analytics using Python, ML, R, Advance ML, and Tableau (optional) is crucial, with 1-3 years of relevant work experience also considered acceptable. This position is open for both internship and full-time roles, based in Hyderabad. If you are interested in joining our team, please share your resume along with a brief summary of your profile to hr@recodeminds.com.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,

We believe that every candidate brings something special to the table, including you! So, even if you feel that you're close but not an exact match, we encourage you to apply. We'd be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Gallagher Re actuarial team uses deep actuarial skills along with high-quality analytical and problem-solving prowess to assist clients in enhancing their business performances and optimize their reinsurance portfolios. The expertise obtained over several years of market presence allows the client-oriented teams to provide the finest services. As a candidate, you will work in Reinsurance Pricing teams for business lines like Property & Casualty, Motor, and/or Specialty lines like Aerospace and Marine. The teams provide pricing of contracts and dynamic portfolio optimization for international clients serviced via our international offices. Your principal responsibilities will include: - Data cleansing and processing to facilitate actuarial analysis - Assisting on-shore stakeholders and Actuaries in performing Actuarial Pricing Analysis such as Experience rating and Exposure rating for building a comprehensive, multi-dimensional loss model in accordance with client risk profiles and industry norms - Estimating reinsurance pricing and determining optimal Reinsurance Strategies - Preparing and providing reports and decks for the performed analyses - Contributing towards Industry studies and Benchmarking activities that aim at promoting Gallagher Re as a thought leader in the reinsurance marketplace - Contributing to the development of innovative concepts, tools, or automating the current process. About you: - Graduate/Post-graduate, preferably in Stats/Maths/Eco/Commerce - A student member of any of the following institutes: - Institute of Actuaries of India (IAI) - Institute of Faculties of Actuaries UK (IFoA) - 3-6 Actuarial exams cleared as per the new Curriculum, along with zeal for pursuing the qualification further - Professional communication skills, both written and oral - Good understanding of insurance and reinsurance concepts - Strong analytical and problem-solving skills - Propensity to think beyond the assignment at hand and show the ability to be detail-oriented - Driven to take initiatives and challenging work - Ability to work collaboratively in a team - Ability to turn around work of professional quality within set deadlines - Excellent MS Office skills, particularly Excel is essential - Knowledge of VBA, SQL, Python, R, Power BI, etc., is an added advantage - A relevant internship or industry experience of 2-5 years will be an added advantage. We value inclusion and diversity. Inclusion and diversity (I&D) is a core part of our business and is embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees" diverse identities, experiences, and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. Additionally, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability unless the accommodation would impose an undue hardship on the operation of our business.,

You should have the ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrating competency in Probability and Statistics, you should be capable of utilizing ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Your experience should include dealing with outliers, denoising data, and handling the impact of pandemic like situations. Performing Exploratory Data Analysis (EDA) of raw data and feature engineering wherever applicable is crucial. You should possess demonstrable competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions is essential. Being able to train and evaluate ML models using various machine learning and deep learning algorithms is a must. You should also be skilled in retraining and maintaining model accuracy in deployment. Knowledge of cloud platforms such as AWS, Azure, and GCP is required. Exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase) is preferred. An understanding of forecasting experience in products like SAP, Oracle, Power BI, and Qlik is beneficial. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) is expected. Having experience with large datasets and distributed computing (Hive/Hadoop/Spark) is advantageous. Knowledge of transfer learning using state-of-the-art models in different spaces like vision, NLP, and speech is a plus. Integration with external services and Cloud API is also a part of the role. Working with data annotation approaches and tools for text, images, and videos is desirable. You should be able to package and deploy large-scale models on on-premise systems using multiple approaches, including Docker. Taking complete ownership of the assigned project is necessary. Experience of working in Agile environments and being well-versed with JIRA or equivalent project tracking tools is expected.,

Are you ready to contribute your analytical skills and drive business performance at Mondelz International Join our mission to lead the future of snacking and make a difference with pride. Working alongside analytics team leaders, you will play a crucial role in developing data models to uncover trends that can have a lasting impact on our business results. In this role, you will execute the business analytics agenda in collaboration with analytics team leaders, engaging with external partners who excel in leveraging analytics tools and processes. Your responsibilities will include using models and algorithms to identify signals, patterns, and trends that drive long-term business performance. By adopting a methodical approach, you will effectively communicate to stakeholders the value that business analytics can deliver. To excel in this position, you should possess a strong desire to shape your future and advance your career. Your experience and knowledge in data analysis, best analytics practices, KPIs, and scorecards will be invaluable. Additionally, familiarity with BI tools such as Tableau, Excel, Alteryx, R, and Python would be advantageous. As an Analytics Manager, you will play a pivotal role in enhancing business outcomes through strategic and tactical solutions using analytical data modeling. Your responsibilities will involve providing analytics and project management support for various initiatives, including network capacity reviews. By leveraging network modeling, data management tools, and visualization techniques, you will facilitate data-driven decisions across the supply chain. Key responsibilities include identifying data requirements, defining data sources, modeling the network according to project requirements, and validating scenario outputs. You will stay abreast of modeling and analysis techniques, collaborate with stakeholders, and build trust to achieve organizational goals. Your ability to develop custom models and algorithms, execute analytics programs, and collaborate with external partners will be essential for driving long-term business performance. In terms of qualifications, a Bachelor's or Master's degree in a quantitative field like Operations Research, Statistics, Applied Mathematics, Engineering, or Data Science is preferred. Relevant experience in logistics, distribution, production, operations management, or supply chain management, particularly in FMCG, is essential. Proficiency in tools like Supply Chain Guru, Optilogic, Tableau, Power BI, Alteryx, R, and Python will be beneficial for success in this role. If you are passionate about leveraging analytics to solve business problems, thrive in a dynamic environment, and are committed to driving organizational growth, we invite you to join our team at Mondelz International and be part of our journey to empower people to snack right.,

You will be joining North Hires, a renowned consulting firm specializing in Custom Software Development, Recruitment, Sourcing, and Executive Search services across the USA, UK, India, and EMEA. Your primary responsibility as an AI ML Manager will involve leading and executing various AI and Machine Learning projects while overseeing a team of data scientists and engineers. Additionally, you will collaborate with different departments to develop effective strategies that leverage AI and ML technologies to drive business success. To excel in this role, you should possess a solid foundation in Artificial Intelligence and Machine Learning technologies. Experience in managing similar projects and teams is essential, along with proficiency in programming languages like Python, R, or Java. Familiarity with data visualization tools and techniques will be advantageous, and strong problem-solving and analytical skills are a must. If you are passionate about AI and ML technologies and have a proven track record in managing projects and teams, this full-time remote position at North Hires offers an exciting opportunity to contribute to cutting-edge initiatives that drive business innovation and growth.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

The Model/Anlys/Valid Analyst II role at Citi is a developing professional position where you will apply your specialty area knowledge to monitor, assess, analyze, and evaluate processes and data. You will be responsible for identifying policy gaps, formulating policies, interpreting data, making recommendations, and researching factual information. Additionally, you will identify inconsistencies in data, define business issues, and formulate recommendations on policies, procedures, or practices. It is crucial to integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices. You will develop a working knowledge of industry practices and standards. In this role, you will have a limited but direct impact on the business through the quality of tasks and services you provide, with the impact restricted to your own team. Your responsibilities will include developing, enhancing, and validating methods of measuring and analyzing risk across all risk types. You may also be involved in developing, validating, and strategizing the use of scoring models and related policies. Additionally, you will lead projects related to model development, programming, integration, testing, and validation. Furthermore, you will provide analytical support on analysis and benchmarking, prepare regular and ad-hoc reports according to Risk Management Team priorities, participate in projects aimed at improving risk analytics, modeling, and validation systems, and work on the constant improvement of reporting systems and optimization of Credit MIS Reports. It is essential to appropriately assess risk when making business decisions, maintain compliance with applicable laws and regulations, and uphold ethical standards. To excel in this role, you should have demonstrated programming skills (SAS, SQL, R, etc.), knowledge of tools like VBA, basic understanding of secured/unsecured banking products and US banking, good communication skills, analytical capabilities to identify root causes and trends, proficiency in Microsoft Office, and at least 2 years of experience in model implementation/validation/development. A Bachelor's/University degree or equivalent experience is required. This position within Global Consumer Risk Management of Citi focuses on developing CCAR/DFAST stress loss models for secured portfolios such as Home Equity and Mortgage. Your core responsibilities will include obtaining and conducting QA/QC on data required for stress loss model development, developing segment and/or account level stress loss models, performing all necessary tests, validating and recalibrating models annually, delivering comprehensive model documentation, and collaborating with cross-functional teams. For this role, an advanced degree (Masters required or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, or related fields is necessary. Strong programming skills (SAS, R, Matlab, etc.) and quantitative analytics expertise are essential, along with 2-4 years of analytic experience. Experience in quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk stress losses is preferred. You should possess good communication skills, work effectively with moderate supervision, and be able to work as an individual contributor. This role offers the opportunity to work on challenging projects in a dynamic and collaborative environment within the risk management field at Citi. If you require a reasonable accommodation to use our search tools or apply for a career opportunity due to a disability, please review Accessibility at Citi. You can also refer to Citi's EEO Policy Statement and the Know Your Rights poster for more information.,

As an experienced Primary Market Research (PMR) leader, your role will involve leading high-impact global research engagements, mentoring teams, and partnering with Data Science & AI experts to modernize insights generation using traditional qualitative and quantitative research methods alongside AI/ML and Generative AI applications. You will be responsible for executing end-to-end PMR projects across therapy areas and geographies, utilizing both traditional methodologies and AI-enhanced techniques to improve study design, analysis, and storytelling. Your key responsibilities will include applying Generative AI tools to accelerate insight synthesis and automate reporting, guiding the integration of machine learning models for survey optimization, and collaborating closely with clients and internal stakeholders to deliver insights aligned with business strategy. Additionally, you will manage and mentor a team of market researchers, maintain strong vendor relationships, and demonstrate storytelling excellence through data-driven narratives that influence strategic decision-making. To excel in this role, you should have at least 15 years of experience in healthcare/life sciences primary market research, with a proven ability to lead multi-country, multi-method projects. Strong knowledge of qualitative and quantitative methodologies is essential, and exposure to tools such as Qualtrics, SPSS, R, or Python is advantageous. Hands-on experience with AI/GenAI platforms for text summarization, sentiment analysis, and automated reporting is desired, along with a passion for exploring emerging technologies in research workflows. Preferred qualifications include a Master's degree in Life Sciences, Market Research, Business Analytics, or related fields, as well as certification or exposure to AI/ML in market research or marketing analytics. Familiarity with healthcare compliance, pharma regulations, and therapy-specific dynamics will be beneficial for this role. Excellent interpersonal, presentation, and client engagement skills, strong project management abilities, and the capacity to thrive in a fast-paced, deadline-driven environment are also key attributes for success in this position.,

You will be joining Moodlakatte Institute of Technology, Kundapura (MITK) as a full-time Assistant Professor specializing in Data Science. Located in Kundapura, you will play a key role in delivering lectures, developing curriculum, mentoring students, conducting research, and engaging in various academic activities. Your responsibilities will also involve evaluating student performance, collaborating with colleagues, and contributing to the overall enhancement of the department. To excel in this role, you must hold an M.Tech in Data Science and demonstrate proficiency in Data Analysis, Machine Learning, and Statistical Methods. Experience with programming languages such as Python, R, and SQL is essential. Strong communication and presentation skills are a must, along with the ability to effectively mentor and guide students in their academic and professional growth. A commitment to continuous learning and professional development is highly valued, while prior teaching experience, although not mandatory, will be advantageous. Join us at MITK and be a part of our mission to provide a nurturing educational environment that empowers students to shape their futures through knowledge and holistic development.,

Job Description: We are a forward-looking organization with talented professional staff specializing in clinical research, medical writing, IT services, data science, and software development. Our experts are dedicated to understanding and prioritizing your goals while staying abreast of current business trends. Through our expertise, we drive cost efficiency to benefit our clients. At our core, we value flexibility, innovation, reliability, and passion. We are honored to have a team of skilled individuals who consistently put forth selfless efforts and dedication to provide our clients with exceptional services. Their commitment has contributed to our reputation as a renowned incorporation. We are motivated by the trust and confidence in our mutually beneficial relationships with customers, aiming to reach unprecedented heights together. As a Data Science Intern, your key responsibilities will include supporting statistical programming activities for clinical development projects, conducting data manipulation, analysis, and reporting of clinical trial data using SAS programming, and collaborating efficiently in cross-functional, multi-cultural, and international clinical trial teams. To qualify for this role, you should have a Bachelor's or Master's degree in Statistics, Mathematics, or Computer Science, along with experience in SAS/R/Python/Tableau/Oracle DB. A strong programming background, excellent analytical skills, and troubleshooting abilities are essential for success in this position. If you are passionate about data science and eager to contribute to impactful projects, we invite you to collaborate with us. Please send your CV to hr@medtek.ai to explore this exciting opportunity.,

As an experienced professional with 3-5 years of relevant expertise, you will be responsible for analyzing artificial intelligence and machine learning technologies and applications. You are expected to stay updated on the latest advancements in AI/ML from both industrial and academic perspectives. Your role involves identifying client challenges and areas for enhancement, as well as developing potential AI/ML solutions. Designing competitive AI/ML services and enhancing user experiences for next-generation devices will be a key aspect of your responsibilities. Your tasks will include creating prototypes for demonstration purposes, gathering and synthesizing requirements, and proposing effective product/feature roadmaps. Collaboration with team members to integrate innovative ideas into potential IT solutions is crucial. Additionally, you should possess the ability to develop business cases and value propositions for clients by leveraging automation and AI/ML/statistics. A strong technical background in AI/ML platforms and proficiency in statistical tools such as R, Python, and Saas are essential requirements. Familiarity with at least one technology platform in the AI/ML domain is expected. Your expertise will contribute to the successful implementation of AI/ML projects and the delivery of impactful solutions to clients.,

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

Syncron is a leading SaaS company with over 20 years of experience, specializing in aftermarket solutions. Our Service Lifecycle Management Platform offers domain-fit solutions for supply chain optimization, pricing strategy, service fulfillment (e.g. warranty management, field service management, service parts management, knowledge management). Our company has a global presence with offices in the US, UK, Germany, France, Italy, Japan, Poland, India, and group headquarters in Sweden. We believe that our greatest strength lies in our People. Our unique company culture has been appreciated by our Employees, and we are winning the hearts and minds of world-leading organizations such as JCB, Kubota, Electrolux, Toyota, Renault, and Hitachi. The Product Data Analyst role is pivotal in shaping the future of data-informed decision-making within the Product organization. Reporting to the Principal Product Analyst, this position will be part of a growing Product Analytics team focused on embedding data deeply into the product development lifecycle from discovery to delivery. As a trusted analytical partner to Product Managers, Designers, and Engineering Leads, you will help uncover user behaviors, evaluate feature effectiveness, and measure product performance with rigor and clarity. As a Product Data Analyst, you will partner with Product, Design, Engineering, and Program teams to define, measure, and evaluate product success metrics. You will translate business questions into well-defined data problems and analytical approaches, design and implement dashboards and reports, conduct in-depth analyses, identify actionable insights, and develop scalable frameworks, models, and processes to streamline recurring analyses across the product portfolio. Additionally, you will contribute to the data literacy of the wider product organization by guiding best practices in instrumentation, event tracking, and KPI definition. The ideal candidate for this role should have 5+ years of experience in product analytics, growth analytics, or similar data roles, preferably in a tech or digital product environment. Strong command of SQL and experience with large datasets, proficiency in data visualization tools, solid understanding of A/B testing, experimentation frameworks, statistical analysis techniques, and experience working closely with product development teams in agile environments are required. A Bachelors or Masters degree in a quantitative field and experience with Python or R for data analysis are preferred. Familiarity with digital product instrumentation and a passion for continuous learning are also valued. Join us at Syncron to be at the forefront of transforming how decisions are made with data across our product portfolio. Work in a collaborative, high-impact environment where your insights directly shape the user experience and product success, and help define and build the product analytics culture and systems from the ground up. If you are unsure if you meet all the job requirements but passionate about the role, we encourage you to apply. Syncron values diversity and welcomes all Candidates, even those with non-traditional backgrounds, believing in transferable skills and a shared passion for success.,

As a highly analytical and detail-oriented individual, you will be joining Tiger Analytics" Credit Card Product team. In this role, you will be responsible for leveraging data to gain insights into customer behavior, product performance, and market trends to drive strategic decisions and enhance the credit card portfolio. Your responsibilities will include data extraction and analysis, insight generation and storytelling, product performance monitoring and optimization, risk and compliance analytics, and process improvement. **Responsibilities:** **Data Extraction & Analysis:** - Extract, manipulate, and analyze large datasets using tools like SQL, SAS, Python, or R. - Develop and maintain data models, dashboards, and reports to monitor key performance indicators related to credit card products. - Perform in-depth ad-hoc analysis to identify trends, opportunities, and areas for improvement across the credit card product lifecycle. **Insight Generation & Storytelling:** - Translate complex data findings into clear, actionable insights and recommendations for product managers and senior leadership. - Develop compelling presentations and narratives to communicate insights effectively. - Identify customer needs and behaviors through data analysis to inform product enhancements. **Product Performance Monitoring & Optimization:** - Track and analyze the performance of existing credit card products. - Support the development and evaluation of business cases for new product initiatives. - Collaborate with cross-functional teams to implement data-driven product strategies and campaigns. **Risk & Compliance Analytics:** - Analyze credit card portfolio risk and support the development of risk mitigation strategies. - Ensure all analytical activities comply with relevant regulatory requirements and internal policies. **Process Improvement:** - Continuously seek opportunities to improve data collection, analysis, and reporting processes. - Automate reporting and analytical tasks to increase efficiency. **Skill & Experience:** **Experience:** - 6+ years of experience in a data analytics role within the financial services industry, focusing on credit cards. - Hands-on experience with SQL, SAS, Python, or R for data extraction and manipulation. - Experience with data visualization tools like Tableau or Power BI is desirable. **Skills:** - Strong analytical and problem-solving skills. - Technical proficiency in SQL and/or SAS. - Data visualization abilities. - Business acumen and understanding of credit card business models. - Excellent communication and collaboration skills. - Proactive, self-motivated, and detail-oriented. **Good to have:** - Experience with big data technologies, advanced statistical modeling, machine learning techniques, A/B testing, and financial regulations related to credit cards. **Qualifications:** - Bachelor's degree in a quantitative field; Master's degree is a plus. - Prefer candidates from Tier 1 colleges or business schools.,