612 Statistical Analysis Jobs - Page 7

Levitation Infotech is offering an Internship position for an R Shiny Intern. As an intern at Levitation Infotech, you will be responsible for developing R Shiny applications, creating interactive data visualization tools, and utilizing R programming for statistical analysis. While there is some flexibility for remote work, the primary location for this role is in Noida. To excel in this role, you should possess skills in R Programming, Shiny Development, and Data Visualization. Additionally, you should have expertise in Statistical Analysis and Data Interpretation. Experience in creating interactive web applications is crucial, along with strong problem-solving and analytical abilities. The ability to work both independently and collaboratively in a team is highly valued. Excellent communication and presentation skills are essential for effective collaboration within the company. Ideally, you should be pursuing or have completed a Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field. Knowledge of machine learning concepts would be considered a plus for this role. If you are passionate about leveraging technology for positive change and enjoy working in a dynamic and innovative environment, this Internship opportunity at Levitation Infotech could be the perfect fit for you. Join us in our mission to provide comprehensive technology solutions for businesses to scale and make a significant impact in the industry.,

As a Robot Sales Engineer, you will be responsible for assisting the zonal manager in achieving the sales targets for the assigned zone. Your role will involve developing and maintaining customer relationships, participating in business development activities, and exploring new markets. You will also be involved in planning and organizing events such as exhibitions, seminars, and road shows. Additionally, you will be required to analyze competitor data, prepare sales-related MIS reports, and travel extensively to meet potential clients in the engineering industry, particularly in the Automotive and Non-Automotive segments. To excel in this role, you should be an Engineer Graduate with over 3 years of experience in commercial sales. Fluency in English, excellent organizational skills, proficiency in MS Office applications, and strong interpersonal and statistical analysis abilities are essential. You must also possess the capability to multitask, prioritize work effectively, and deliver results within specified deadlines. Knowledge of the Japanese language would be considered a plus. If you are seeking a dynamic opportunity to contribute to the sales growth of robotic products and services, this position offers a challenging yet rewarding environment where your skills and expertise can make a significant impact.,

At PwC, individuals with diverse backgrounds and skill sets come together to solve important problems and lead with purpose for clients, communities, and the world at large. The global Fortune 500 companies engage with PwC, highlighting its significant impact. PwC's Acceleration Centers (ACs) are global talent hubs that drive growth and value creation. The Acceleration Center in Bangalore supports various Consulting Solutions platforms such as Deals, Transformation, Cloud and Digital, Cybersecurity, Risk and Regulatory, and Tax Consulting. PwC fosters a high-performance culture centered around excellence, diversity, and inclusion. Collaboration and support are key elements in helping individuals achieve their career goals, along with access to global leadership development opportunities and cutting-edge digital technologies for continuous learning and excellence. The firm's philosophy revolves around caring for its people, evident in its ranking as the 3rd most attractive employer globally. The Technology and Data Solutions practice at PwC's Deals Transaction Services offers opportunities to leverage technology and data in driving better Deal decisions and executing transactions effectively, ultimately creating and realizing value from deals. The team comprises creative professionals passionate about building technology-driven solutions and innovating in the Deals space. PwC is at the forefront of embedding technology, utilizing data analysis, machine learning, and artificial intelligence for a diverse range of Deal-focused solutions. Responsibilities: - Study and transform data science prototypes. - Formulate and deliver data analysis and AI-related functional solutions with a focus on LLM, embedding models, machine learning/deep learning methods, etc. - Support the development of applications or workflows using Cloud services. - Collect and process structured and unstructured data for various purposes, such as building reports, data analytics, and training/testing supervised learning models. - Perform statistical analysis of results and refine models. - Stay updated on AI advancements and identify integration opportunities. - Develop processes and tools to monitor and analyze model performance and data quality. Required Qualifications: - Bachelor's degree in computer science, mathematics, statistics, computational linguistics, or related majors. - 1+ years of work experience in large language models, generative AI technology, and prompt engineering. - Experience with text embeddings, vector search, statistics, and classification algorithms. - Proficiency in using Azure, AWS, or GCP cloud platforms. - Advanced knowledge of Python and SQL. - Ability to cleanse, transform, and augment datasets. - Familiarity with machine learning/deep learning frameworks and libraries. - Proficiency in statistical computer languages for data processing and analysis. - Demonstrated creative thinking and commitment to continuous learning. - Excellent written and verbal communication skills in English. Additional or Preferred Qualifications: - Master's degree in computer science, mathematics, statistics, computational linguistics, or related majors. - 3+ years of work experience in large language models, generative AI technology, and prompt engineering. - Extensive experience in text embeddings, vector search, statistics, and classification algorithms. - Experience with Azure and either AWS or GCP. - Proficiency in data visualization tools like Power BI or Tableau.,

As a Sales Engineer for Automation based in Mumbai (Head office), you will utilize your 12 years of experience in Industrial Automation to drive sales and promote innovative solutions. Your primary responsibility will be to sell products and services related to LV Switchgear, LV Drives, and Electrical Panels to potential customers within a specific region. To excel in this role, you will need to engage with clients and prospects, understand their needs, and effectively communicate how our products and services can meet those requirements. By arranging meetings, making persuasive product presentations, and conducting price negotiations, you will play a crucial role in increasing sales and expanding our business. Furthermore, you will be expected to generate new business leads, maintain statistical data, and provide regular reports to contribute to the overall growth of the organization. Join our dynamic team and be a part of our success story by sending your CV to hr@makharia.in. Your ideas and contributions will make a meaningful difference as we continue to innovate and grow together.,

As a valuable member of our team, your role will involve determining and developing user requirements for systems in production to ensure maximum usability. By utilizing your skills in usability, data analysis, machine learning, statistical analysis, communication skills, big data technologies (such as Hadoop and Spark), programming languages (such as Python and R), data visualization, and SQL, you will contribute to the success of our projects. Success in this position will mean that you have effectively gathered and analyzed data to provide valuable insights, improving the usability and functionality of our systems. Your ability to apply statistical analysis and machine learning techniques will play a crucial role in driving decision-making processes within the organization. This role is essential in ensuring that our systems meet the needs and expectations of our users, ultimately contributing to the overall success of our organization. Your expertise in data analysis and programming will be instrumental in driving innovation and efficiency in our projects. If you possess excellent verbal and written communication skills, along with a keen eye for detail and a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact through your contributions to our team.,

As a Data Scientist at our company, you will be responsible for analyzing large sets of structured and unstructured data to uncover trends and insights that can drive business decisions. Your expertise in data mining, statistical analysis, and machine learning will be crucial in developing and implementing machine learning models and algorithms for predictive and prescriptive analysis. Collaborating with cross-functional teams, you will play a key role in building models, developing algorithms, and enhancing our data infrastructure. Your key responsibilities will include performing exploratory data analysis (EDA), preparing reports using data visualization tools such as Tableau, Power BI, and Matplotlib, and conducting A/B testing and statistical analysis to assess the impact of business changes. Working closely with data engineers, you will build and maintain scalable data pipelines, ensuring data quality and optimizing models for performance and scalability. Additionally, you will stay up to date with the latest techniques in data science and machine learning, applying them to business challenges. Your ability to present findings and insights to non-technical stakeholders and executives in an understandable format will be essential in driving strategic decision-making. Supporting ad-hoc analysis and providing data-driven recommendations will also be part of your role. If you have a passion for deriving actionable insights from large data sets and are excited about leveraging data science methodologies to solve business problems, we invite you to join our team as a Data Scientist.,

You will be responsible for analyzing healthcare data in the U.S. healthcare industry to ensure compliance with regulations such as HIPAA, support population health initiatives, claims analysis, and operational efficiency. Your role as a Healthcare Data Analyst will involve analyzing clinical, claims, and operational data to uncover insights that improve patient outcomes, reduce costs, and enhance healthcare delivery. You should have experience working with healthcare datasets and a strong understanding of healthcare systems, compliance requirements, and performance metrics. Your key responsibilities will include analyzing claims, Electronic Health Records (EHR), and clinical data to identify trends and patterns, developing and maintaining dashboards using tools like Power BI, Tableau, or Qlik, supporting population health initiatives by providing data-driven insights, partnering with stakeholders to define requirements, ensuring compliance with HIPAA, conducting ad hoc analyses, and monitoring data quality. To qualify for this role, you should have a Bachelor's degree in Public Health, Health Informatics, Data Science, Statistics, Computer Science, or a related field. Proficiency in SQL for querying large healthcare datasets is required, along with experience working with medicalclaims, EHR/EMR systems, and data visualization tools. Understanding of HIPAA and healthcare data security best practices is essential. Preferred qualifications include experience with Python or R for statistical analysis, familiarity with risk adjustment models, predictive analytics, value-based care reporting, and healthcare interoperability standards. A Master's degree in Health Informatics, Public Health, or a related field is a plus. Soft skills such as strong analytical thinking, effective communication, ability to work independently and collaborate in cross-functional teams, and being detail-oriented with strong organizational skills are important for this role. In return, you will receive a competitive salary, performance-based bonuses, comprehensive medical insurance, paid time off, holidays, parental leave, and remote work flexibility.,

The S&C Global Network - AI - T&O - Human Capital Analytics Analyst role based in Kolkata, KDC1A involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, the consultants provide analytically-informed, issue-based insights at scale to help clients improve outcomes and achieve high performance. The importance of sound analytical decision-making and the relationship of tasks to the overall project are key aspects of executing projects in the context of business performance improvement initiatives. In this pivotal role as a Data Science Consultant for an Advanced People Analytics practice, you will develop advanced statistical models to support HR Analytics offerings and solutions. Expertise in Python programming language, ML API integrations, SQL, Relational and Non-Relational Databases, and cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis are required. Proficiency in AWS/AZURE Cloud Services and architecting effective, scalable, and easy-to-understand dashboards and reporting solutions is crucial. The role also involves being a data storyteller, producing concise, story-driven reports and presentations to communicate analytic insights. Building product-ready dashboards using Power Bi and Tableau, developing new KPIs, metrics, and deriving strategic insights, as well as excellent communication skills to translate business problems into analytic problems are key responsibilities. Strong relationships with clients, managing project teams, engaging and collaborating with diverse teams, resolving complex issues creatively, and executing regular and ad-hoc reporting on key HR metrics are part of the role. The ideal candidate should have a Master's degree in Economics/Statistics/Mathematics/Engineering or related Analytics discipline from a premier institute, with over 5 years of experience in the Analytics domain and 2-3 years in people/Human analytics or a relevant domain. Strong problem-solving skills, communication skills, leadership experience, and experience with predictive analytics, machine learning, or statistical modeling are required. Knowledge of PySpark/PyTorch framework, Data Governance, Cloud Integrations, Change Management, Big Data Technologies, Html 5/js skills, and optimization theory is appreciated. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure.,

As a Battery Pack Design Engineer based in Bangalore, you will be an integral part of the battery pack engineering team, focusing on addressing complex structural, electrical, and thermal challenges. Your primary responsibility will involve designing and developing components and assemblies for production, testing, POC, and ensuring the safety of highly integrated batteries. Your work will have a significant impact on the product direction, pushing Pravaig to become a leader in battery technology. Your key responsibilities will include: - Demonstrating expertise in structural, electrical, thermal, and mechanical battery systems. - Utilizing strong analytical and problem-solving skills for mechanical engineering analysis. - Leading battery design and development projects, with a preference for 3-D CAD experience. - Familiarity with sensor instrumentation and data acquisition systems is advantageous. - Analyzing and managing test data from large data sets. - Applying knowledge of statistical analysis and design-of-experiment techniques. - Possessing excellent written, verbal, and presentation skills to effectively communicate with management, peers, and suppliers. - Adapting to a dynamic and fast-paced work environment. - Conducting vendor qualification for manufacturing processes. - Expertise in designing for various production processes such as injection molding, extrusion, metal stamping, die castings, sheet metal, and weldments. - Ensuring the preparation and release of all 3D data, drawings, and part specifications. Required Skills: - Strong problem-solving and analytical skills with knowledge in battery cell design and material characterizations. - Taking ownership of Battery Pack components, overseeing engineering development from concept to production. - Integrating mechanical designs with high voltage electrical systems within a multidisciplinary environment. - Proficiency in DFM, DFMEA, PFMEA, and DFA methodologies. - Ability to interpret engineering/manufacturing drawings and good knowledge of GD & T. - Familiarity with various materials used for Battery Packaging & Electric Vehicles. - Results-oriented with proven creative and critical thinking abilities. - Maintaining flexibility and composure in ambiguous and rapidly evolving situations. - Awareness of engineering standards and automotive regulations. - Comfortable with initiating and leading projects.,

About Us SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto Make Life Simple inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. Join us to shape the future of digital payment in India and unlock your full potential. What s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose Responsible for supporting planning and Achieving Fee Income for SBI Card. Role Accountability Manage the pricing policy for SBIC, ensuring timely implementation for maximizing fee income targets Own and manage the fee waiver policy and ensure accurate implementation of the rules in CRM Identify new revenue enhancement opportunities and plug existing revenue leakages if any at SBI Card Ensure management of revenue audits and rectification basis findings Lead Relationship and operational management from a network perspective Analyze, recommend and implement new sourcing/ Portfolio migration strategy to maximize revenue from the agreement/ incentive structure with the Networks Scan the market for latest technological and regulatory development on Network dynamics on issuance, acquiring and authorizations Lead invoice management and planning for network incentives Ensure process documentation and compliance adherence Measures of Success Fee income targets Network incentive target as per plan No adverse observations in revenue audits Timely rectification of any ATR observations Effective Relationship management with Networks Process Adherence as per MOU Technical Skills / Experience / Certifications In-depth Knowledge of Card fees and network fees Knowledge of data analytics tools and methodologies Experience in Project Management Experience in Senior Stakeholder and Relationship Management Knowledge of financial and statistical analysis Competencies critical to the role Stakeholder Management Relationship Management Result Orientation Analytical ability Qualification MBA in any stream Preferred Industry Credit Card Industry BFSI, Insurance, Fintech

Who we are Euromonitor International is the leading independent market research company; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. Key drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What you ll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. #LI-HYBRID #LI-RP1 What you ll get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more .!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Experience : 5 to 7 Years Work Location : Hyderabad Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

Work experience in Finance environment. Advanced knowledge of Excel, Word, Microsoft Access, Cognos, SQL, QlikView and various extract tools required. Project Management experience. Advanced analytical ability in a data intensive environment. Methodical and thorough. Be able to work independently with minimal supervision. Excellent interpersonal skills. Ability to communicate and negotiate with external agencies (e.g., Statistical Agents and Insurance Departments). Problem ownership and personal responsibility of assigned work. Ability to identify and prioritize dependencies, work effort, and deadlines. Excellent time management skills required. Strong work ethic. Experience in a customer service environment solving complex problems and diffusing customer anxiety. Experience in process review and documentation. Knowledgeable in Property and Casualty Insurance. Comfortable interacting with multiple levels of management and peers. Contact Person: Sangeetha Tamil

As a Data Scientist specializing in Multi-Touch Attribution (MTA) based in Bangalore (with 3 days of office work), you will play a crucial role in leading our MTA modeling efforts. Your primary responsibility will be to accurately measure the impact of various marketing channels and touchpoints on user conversions and business outcomes. This will involve collaborating closely with marketing, growth, and data engineering teams to develop attribution frameworks, optimize budgets, and enhance ROI measurement. Your key responsibilities will include developing and implementing algorithmic attribution models to quantify the impact of different marketing touchpoints. You will apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate both online and offline signals. Working with large-scale marketing datasets, you will analyze impressions, clicks, conversions, and engagement metrics. Additionally, you will partner with marketing teams to enhance channel efficiency and campaign planning based on attribution insights. Model validations using holdout experiments and out-of-sample testing will be conducted to ensure reliability. You will also automate model scoring and reporting pipelines to provide real-time attribution visibility. Creating intuitive dashboards and documentation to effectively communicate findings and influence strategic decisions will be part of your role. The qualifications required for this role include a minimum of 3 years of experience in data science, marketing analytics, or attribution modeling. Strong hands-on experience with Python, SQL, and relevant data science libraries is essential. In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay is preferred. A solid understanding of digital marketing channels and customer journey analytics is necessary. Experience with model validation, experimentation design, and lift analysis is a plus. Strong problem-solving and communication skills, combined with a product mindset, are crucial for success in this role.,

The role involves planning and executing various digital marketing campaigns including web, SMM, SEM, database marketing, email, social media, and display advertising. Performance of these campaigns needs to be measured and reported against goals such as ROI and KPIs. It is essential to identify trends and insights for optimizing spend and performance. Brainstorming new growth strategies and conducting experiments and conversion tests are also key responsibilities. Collaborating with internal teams to enhance landing pages and user experience is crucial. The position requires a strong analytical ability to assess the end-to-end customer experience across different channels and touchpoints, identifying conversion points and drop off points for optimizing user funnels. Collaboration with agencies and vendors, evaluation of emerging technologies, and providing thought leadership for their adoption are integral parts of the role. Desired Candidate Profile: - Creating and maintaining client relationships - Self-motivated and customer-focused - Proficient in marketing research and statistical analysis - Highly creative with the ability to identify target audiences and create engaging digital campaigns Education, Experience, and Licensing Requirements: - Bachelor's or master's degree in marketing or a related field - Proven 2-3 years of working experience in digital marketing - Demonstrable experience in leading and managing various digital marketing campaigns - Experience in optimizing landing pages and user funnels - Familiarity with A/B and multivariate experiments - Strong knowledge of website and marketing analytics tools - Working knowledge of ad serving tools and setting up PPC campaigns - Understanding of HTML, CSS, and JavaScript development is advantageous CTC: Best in industry,

As a Manager, Innovation & Research at USGBC, your role involves leading research initiatives to support the development and optimization of rating systems, policies, and programs. You will work towards driving key initiatives such as market education, product innovation, and performance analytics in alignment with the organization's mission and strategic goals. Reporting to the Sr. Director, Innovation and Research, you will be part of a collaborative team environment where your contributions will help shape impactful outcomes. Your responsibilities will include designing, leading, and executing research on sustainability topics, conducting primary and secondary research to identify market opportunities, publishing research in various formats, providing subject matter expertise, conducting data analytics, representing USGBC/GBCI at conferences, and collaborating with internal and external stakeholders to develop research partnerships. To qualify for this role, you should have at least 6 years of professional experience in sustainability or green building research, prior experience in leading or contributing to research initiatives in the built environment, and demonstrated proficiency in data analysis and interpreting technical findings. A Bachelor's degree in architecture, engineering, energy, sustainability, or a related field is required. Additionally, you should have strong technical writing and communication skills, knowledge of LEED and other green building standards, problem-solving abilities, project management skills, and the ability to balance multiple projects in a fast-paced environment. Proficiency in Microsoft Office Suite and statistical analysis tools such as R, Python, or advanced Excel is necessary. A GBCI credential (LEED Green Associate or LEED AP) is preferred, or the willingness to earn one within the first year of employment. The position is remote in Noida, India, with flexible working hours typically from Monday to Friday. Travel is not required for this role. USGBC/GBCI offers a comprehensive benefits package aligned with local and national legislation. Final compensation and benefits will be confirmed at the time of offer. If you are passionate about sustainability, enjoy working in a collaborative environment, and want to contribute to global sustainability efforts, this role offers you the opportunity to make a meaningful impact.,

As the leader of a team of 5-6 data professionals, you will be responsible for managing delivery across 2-3 client engagements simultaneously. This role requires a combination of technical expertise in data analytics, BI development, and cloud solutions, along with team management and client relationship management responsibilities. In terms of team leadership and delivery, your key responsibilities will include leading and mentoring the data professionals in your team, managing project deliveries for multiple client engagements, establishing project timelines and quality standards, reviewing and approving technical deliverables, monitoring team performance, and providing guidance as needed. You will also be involved in technical solution design and implementation, where you will design data integration solutions using Azure Data Factory and other cloud services, develop complex semantic models and data warehouse solutions, create dashboards and reports using Power BI and Tableau, implement row-level security and data governance standards, establish technical best practices, and ensure adherence to standards. Furthermore, as part of client and stakeholder management, you will be required to build and maintain strong relationships with key stakeholders, lead client meetings and presentations, drive requirement gathering and solution validation, manage project scope and expectations, identify and mitigate project risks, and ensure client satisfaction and delivery quality. To qualify for this role, you should hold a Bachelor's degree in computer science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in data analytics and BI, including a minimum of 2 years in a managerial role. You should have expert-level proficiency in SQL and data modeling, as well as proficiency in data visualization tools such as Tableau and Power BI, and programming languages. Advanced knowledge of DAX for writing complex calculations, strong expertise in Azure cloud services (particularly Azure Data Factory), and proven experience in designing and implementing data warehouses are also required. Additionally, you should possess strong analytical and problem-solving skills, with a focus on data-driven decision-making, experience with data management and statistical analysis techniques, excellent communication and stakeholder management skills, and preferably Power BI certification and Azure certifications (Data Engineer, Solution Architect). Hands-on experience with Python for data analysis would be a plus.,

You are a talented and motivated Generative AI Data Scientist Lead sought by Accenture AI to join the Banking team. Leveraging your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms, you will drive and lead the development and delivery of innovative solutions to enhance AI capabilities. Collaborating with cross-functional teams, you will design, develop, and implement generative AI solutions to meet business needs. Your key responsibilities will include: - **Independent Project Leadership**: Taking ownership of end-to-end project delivery with minimal supervision. - **Pod Leadership**: Leading and mentoring a small development pod of data scientists and engineers to ensure collaboration and timely delivery of high-quality solutions. - **Model Development**: Designing, developing, and deploying state-of-the-art generative AI models for various applications. - **Strategy Development**: Providing strategic recommendations to clients on integrating generative AI into workflows. - **Ethical AI Practices**: Ensuring responsible use of generative AI by addressing biases and compliance with regulations. - **Performance Evaluation**: Developing metrics to assess generative models" performance. - **Collaboration**: Working closely with stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation**: Staying updated with advancements in generative AI and applying knowledge to improve models. - **Mentorship**: Guiding and mentoring junior team members to foster a culture of innovation and learning. You should possess: - **6+ years of experience** in Data Science, Machine Learning, or related fields with a focus on Generative AI models. - Proficiency in **Python programming** and experience with **machine learning frameworks** like TensorFlow, PyTorch. - Hands-on experience with **cloud platforms** (AWS, GCP, Azure) for deployment and solution building. - Ability to work with **Docker, Kubernetes, and API Development** for deploying generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in **ethical AI practices** and understanding of biases and regulations in Generative AI. - Excellent verbal and written communication skills to convey complex concepts clearly. Additional qualifications include experience in large-scale data processing, NLP, computer vision, contributions to open-source AI/ML projects, cloud integrations, and performance optimization. Leadership experience in guiding teams and managing AI projects is also desired. This position requires a **minimum of 6 years of experience** in Data Science, Machine Learning, or related fields, along with a **Masters or Ph.D.** in Computer Science, Data Science, Statistics, or a related field.,

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.,

You are a dynamic Manager/Senior Manager for MIS and Analytics responsible for leading data-driven decision-making efforts in the organization. Your role involves overseeing a team of analysts to collect, analyze, and interpret data from various sources, translating insights into actionable recommendations to drive the business forward. Your expertise in data analytics and strong leadership skills are crucial for guiding the company towards its strategic objectives. Your key responsibilities include leading the data analysts team by providing guidance, mentorship, and support in their daily activities. You will design and implement an analytics strategy aligned with the company's business goals, collecting, analyzing, and interpreting data from multiple sources to identify trends and opportunities. Specifically, you will gather and analyze financial data to assess revenue, cost, and EBITDA by various business metrics. You will deliver profitability analyses and insights to Senior Management, collaborate cross-functionally to define KPIs, and provide actionable insights to stakeholders to support data-driven decisions and business growth. Additionally, you will identify areas for automation, stay updated on industry trends in analytics tools, lead data governance initiatives, and partner with IT teams to optimize data infrastructure. You will communicate complex findings to technical and non-technical stakeholders through presentations, reports, and visualizations, promoting a culture of data-driven decision-making across the organization. To qualify for this role, you should have a Bachelor's degree in Business Management, Data Analytics, or related field (Master's degree preferred), along with 8-10 years of experience in analytics or a related field, including at least 5 years in a leadership role. You must have a strong track record in delivering impactful insights, experience in formulating and executing analytics strategies, and solid understanding of data governance principles. Exceptional people and stakeholder management skills, familiarity with data visualization tools, experience with large datasets and statistical analysis techniques, and relevant certifications in analytics tools are advantageous.,

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.,

As a Business Intelligence (BI) Developer, your primary responsibility will involve developing a BI framework and an implementation roadmap to deploy BI solutions across various functions to meet organizational requirements. You will collaborate with functional and business stakeholders to gather and understand their requirements, design scalable reports, visualizations, and interactive dashboards to provide actionable insights and support data-driven decision-making. Your role will also entail handling ad-hoc requests for data analysis and visualization, assisting stakeholders in identifying patterns, generating meaningful insights, and facilitating data-driven decision-making. In addition, you will be involved in developing data standards, data archiving procedures, performing data analysis and profiling using SQL to identify data quality issues, and recommending solutions to stakeholders. You will also be responsible for identifying opportunities for automation, quality improvement, streamlining, and standardization in data gathering, reporting, and insights generation. Moreover, you will assess system performance and provide recommendations for hardware, software, and data management/storage improvements. Furthermore, you will collaborate with third-party vendors to ensure a smooth handover-takeover of existing BI systems or Manufacturing Execution Systems (MES). You will act as the super user for MES and provide first-level support for internal user queries. Your role will also involve creating and optimizing data models, data connections, and transformations to ensure accurate and efficient data analysis, visualization, and reporting. Additionally, you will develop Excel-based tools and utilities to support data gathering and problem-solving, utilizing VBA to automate and error-proof them as much as possible. Working with cross-functional teams, you will define Key Performance Indicators (KPIs), set performance baselines, and ensure the availability of real-time insights through live dashboards and regular reports. You will also design, develop, and modify data infrastructure to accelerate data analysis and reporting processes. Moreover, as a BI Developer, you will lead Artificial Intelligence (AI) and Machine Learning (ML) implementation projects to deliver AI-powered insights. You will be responsible for developing and maintaining standards of operation for handling and archiving data, as well as overseeing the integration of new technologies and initiatives into data standards and structures. Additionally, you will participate in evaluating the design, selection, and implementation of database changes by aligning them with business requirements and design documents and ensuring data/information security across global teams and third parties. Your Profile: - Qualification: STEM graduate with a degree in Computer Science Engineering. - Certification in BI-Analytics is desirable. - Proficiency in Microsoft Excel, VBA, automation, SQL, Power BI, Tableau, and SAP Analytics Cloud (preferred but not mandatory), Data modeling, Statistical Analysis, Data analysis, data Visualization, with a good understanding of advanced analytics (AI/ML, desirable). - 5-8 years of experience in data analytics with demonstrated expertise in Power BI. - Desired experience in SAP Analytics Cloud.,

As a Document Controller at Trelleborg, you will be responsible for handling, organizing, and distributing all project documents, such as drawings, contracts, specifications, and correspondence related to the project. Your role will involve accurately recording, sorting, filing both electronically and physically, and distributing documents to the appropriate internal and external parties. You will be maintaining document control systems, tracking revisions and updates, and ensuring compliance with company, client, and industry standards. Your support to Project Managers will include retrieving documentation requirements, coordinating document reviews, handling approval processes, and providing assistance during audits and inspections. Overall, your contribution will be vital in maintaining the integrity and organization of project documentation throughout the project life cycle. As a Document Controller, your primary responsibility is to manage and organize documents within the organization, ensuring that they are created, reviewed, approved, and archived in accordance with organizational procedures and industry standards. Your key tasks and responsibilities will include creating templates, developing quality standards, preparing Inspection and Test Plans (ITPs), inspecting reports, tabulating data, formatting documents, reviewing and approving documents, distributing approved documents, maintaining version control, establishing a document filing and retrieval system, conducting quality checks, facilitating communication between departments, identifying process improvement opportunities, providing training, and staying updated on document management technology. The ideal candidate for this role should possess excellent communication skills in English, both oral and written, proficient typing and editing skills, attention to detail, analytical and problem-solving ability, planning skills, persistence, strategic work approach, change facilitation ability, numerical and statistical analysis skills, and an understanding of engineering and science fields. The educational qualifications required are either a Diploma in Mechanical Engineering with 5+ years of experience in a similar role, a University Bachelor's Degree in Mechanical or Production Engineering with 3+ years of experience in a similar role, or 5+ years of experience in a similar role. Familiarity with Quality Standards/Document Control Procedures and project/document management is a must, along with proficiency in English communication. Trelleborg is an equal opportunity employer that values diversity and is dedicated to creating an inclusive environment for all employees. Accommodations will be provided for individuals with disabilities during the job application or interview process, job functions, and other employment benefits and privileges upon request. Join us at Trelleborg and be a part of #shapingindustryfromtheinside. Apply now to seize this opportunity without delay!,

The ideal candidate for this position should have previous experience in building data science/algorithms based products, which would be a significant advantage. Experience in handling healthcare data is also desired. An educational qualification of Bachelors/Masters in computer science/Data Science or related subjects from a reputable institution is required. With a typical experience of 7-9 years in the industry, the candidate should have a strong background in developing data science models and solutions. The ability to quickly adapt to new programming languages, technologies, and frameworks is essential. A deep understanding of data structures and algorithms is necessary. The candidate should also have a proven track record of implementing end-to-end data science modeling projects and providing guidance and thought leadership to the team. Experience in a consulting environment with a hands-on attitude is preferred. As a Data Science Lead, the primary responsibility will be to lead a team of analysts, data scientists, and engineers to deliver end-to-end solutions for pharmaceutical clients. The candidate is expected to participate in client proposal discussions with senior stakeholders and provide technical thought leadership. Expertise in all phases of model development, including exploratory data analysis, hypothesis testing, feature creation, dimension reduction, model training, selection, validation, and deployment, is required. A deep understanding of statistical and machine learning methods such as logistic regression, SVM, decision tree, random forest, neural network, and regression is essential. Mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and their practical implementation to solve business problems is necessary. The candidate should also be able to implement ML models in an optimized and sustainable framework and gain business understanding in the healthcare domain to develop relevant analytics use cases. In terms of technical skills, the candidate should have expert-level proficiency in programming languages like Python/SQL, along with working knowledge of relational SQL and NoSQL databases such as Postgres and Redshift. Extensive knowledge of predictive and machine learning models, NLP techniques, deep learning, and unsupervised learning is required. Familiarity with data structures, pre-processing, feature engineering, sampling techniques, and statistical analysis is important. Exposure to open-source tools, cloud platforms like AWS and Azure, and AI tools like LLM models and visualization tools like Tableau and PowerBI is preferred. If you do not meet every job requirement, the company encourages candidates to apply anyway, as they are dedicated to building a diverse, inclusive, and authentic workplace. Your excitement for the role and potential fit may make you the right candidate for this position or others within the company.,

As a Prompt Engineer in the Artificial Intelligence (ACE) team at Digital Enterprise (DE) division, your role will involve creating, testing, and refining text prompts to guide AI models. It is crucial to ensure that these prompts are not only accurate but also engaging, aligning with company objectives and user requirements. Collaboration with content, product, and data teams will be essential to optimize prompt quality. Working closely with product teams, data scientists, and content creators, you will play a key role in ensuring that prompts are in line with business goals and user expectations. Your insights will be valuable in enhancing marketing campaigns, pricing strategies, and resource allocation. Monitoring prompt quality and performance, you will identify areas for improvement in prompt generation processes and implement enhancements to boost overall AI system effectiveness. This role requires taking full ownership of assigned projects and leveraging experience in Agile environments. Proficiency in analyzing complex data related to prompts, understanding market dynamics, consumer behavior, and product research are vital competencies. Additionally, familiarity with spreadsheets, databases, MS Office, and financial software applications is expected. Being well-versed in statistical technologies such as MATLAB and Python, along with hands-on experience in statistical analysis, will be advantageous. Strong presentation, reporting, and communication skills are essential to convey complex financial insights clearly. Effective communication and collaboration abilities are crucial for success in this role. Familiarity with project tracking tools like JIRA or equivalent is a plus.,