data quality analyst Jobs in Mumbai India

data quality analyst

payments - data scientist associate Jobs in Mumbai India

payments - data scientist associate

data scientist

Celebal Technologies

<div>
 
 
 Job Title: Data Scientist with Databricks &amp; Gen AI
 
 
 
 
 Location: Colaba, Mumbai
 
 
 
 
 Duration: Full time
 
 
 
 
 Experience: 2-5 Years
 
 
 
 
 
 
 
 Skills: Classical ML, Databricks, exposure to Generative AI
 
 
 
 
 
 
 About Us: Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud &amp; Automation. We are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business processes. As part of our commitment to staying ahead in the industry, we are seeking a talented and experienced Data &amp; AI Engineer with strong Azure cloud competencies to join our dynamic team.
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 We are looking for a highly skilled Data Scientist with deep expertise in Classical ML. The ideal candidate will be proficient in Python or PySpark, be comfortable working in Databricks environments and have exposure to Generative AI.
 
 
 Key Responsibilities
 
 
 &bull; Process and analyze large datasets using PySpark or Python (Pandas).
 
 
 &bull; Partner with cross-functional teams to identify business needs and translate them into data science solutions.
 
 
 &bull; Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases.
 
 
 &bull; Use Databricks for collaborative development, data pipelines, and model orchestration.
 
 
 &bull; Apply optimization techniques where relevant to improve forecast accuracy and business decision-making.
 
 
 &bull; Present actionable insights and communicate model results effectively to technical and non-technical stakeholders.
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 &bull; Proficiency in Python (Pandas) or PySpark Mandatory.
 
 
 &bull; Experience with Databricks Mandatory.
 
 
 &bull; Generative AI
 
 
 &bull; Solid foundation in statistics, predictive modeling, and machine learning.
 
 
 
</div>

Data Scientist

Procter & Gamble

<div>
 
 Job Location
 
 
 
 Mumbai
 
 
 
 Job Description
 
 
 
 P&amp;G was founded over 180 years ago as a simple soap and candle company. Today, we're the world&rsquo;s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
 
 
 
 Dedication from Us:
 
 
 
 You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship &ndash; work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment&ndash; employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
 
 
 
 Overview Of The Job
 
 
 
 Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
 
 
 Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
 
 
 
 Your team
 
 
 
 This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
 
 
 
 How Success Looks Like
 
 
 
 <ul>
 <li>
 Enabling savings every year on base budget as per the masterplan
 </li>
 <li>
 Delivering touchless digital transformation masterplan and reapplying across the globe.
 </li>
 </ul>
 <li>
 
 
 </li>
 
 Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Provides technical leadership in supporting OU innovation projects.
 </li>
 <li>
 Acts as a key enabler in leading and delivering results against challenges.
 </li>
 <li>
 Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
 </li>
 <li>
 Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
 </li>
 <li>
 Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
 </li>
 <li>
 Work with process/equipment authorities and application developers to identify data relevant for analysis.
 </li>
 <li>
 Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
 </li>
 <li>
 Develop and maintain key data pipelines across selected sites globally
 </li>
 <li>
 Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
 </li>
 <li>
 Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
 </li>
 <li>
 Identify, diagnose, and resolve prognostics model performance issue.
 </li>
 <li>
 Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's in engineering/computer Sci
 </li>
 <li>
 Experience with Machine Learning Techniques
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
 </li>
 <li>
 Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
 </li>
 <li>
 Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
 </li>
 <li>
 Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
 </li>
 <li>
 Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
 </li>
 <li>
 Experience in advance analytics, big data, machine learning.
 </li>
 <li>
 Experience in designing visualization to improve user experience and effective decision making
 </li>
 <li>
 Innovation Approach &ndash; Ability to assess business operations and find opportunities, then drive case
 </li>
 <li>
 Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
 </li>
 <li>
 Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
 </li>
 <li>
 IT Security &amp; Risk &ndash; In touch with modern IT security risks and principles.
 </li>
 <li>
 Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
 </li>
 <li>
 Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
 
 
 </li>
 </ul>
 We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always&reg;, Ariel&reg;, Gillette&reg;, Head &amp; Shoulders&reg;, Herbal Essences&reg;, Oral-B&reg;, Pampers&reg;, Pantene&reg;, Tampax&reg; and more. Our community includes operations in approximately 70 countries worldwide.
 
 
 Visit http://www.pg.com to know more.
 
 
 We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
 
 
 
 
 &ldquo;At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 
 
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000137873
 
 
 
 Job Segmentation
 
 
 
 Entry Level
</div>

JPMorganChase

<div>
 
 Job Description
 
 
 
 Join J.P. Morgan&rsquo;s Corporate &amp; Investment Bank, a global leader trusted by corporations, governments, and institutions in over 100 countries. Our Payments division processes $6 trillion daily, leading industry transformation. As part of Merchant Services, you'll work with a top provider of payment, fraud management, and data security solutions, supporting transactions in over 130 currencies. The Payments Data and Analytics team, comprising data scientists, design strategists, and business leaders, crafts data products that revolutionize business operations. Be part of a team that impacts thousands of clients globally and promotes significant change within J.P. Morgan.
 
 
 As a Data Scientist Associate within the Payments Data and Analytics team, you will be responsible for executing big data analytics projects to promote product innovation for Merchant Services. You will focus on delivering value to clients and the firm through ChaseNet Analytics, analyzing complex payment structures, and creating insightful visualizations. Your role will involve collaborating with stakeholders to understand business objectives, developing data models, and providing actionable recommendations to optimize payment performance. You will have the opportunity to work with cutting-edge technologies and contribute to the transformation of financial services.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Develop and plan analytic projects through understanding the business objectives in the team strategy roadmap
 </li>
 <li>
 Develop robust analysis and deliverable plans to support clear and shared understanding of project requirements and goals
 </li>
 <li>
 Develop the data, queries, tables and visualizations that deliver insight both as an individual contributor and in collaboration with teammates
 </li>
 <li>
 Through deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performance
 </li>
 <li>
 Productionalize Tableau dashboards for resilience and the functionality users need
 </li>
 <li>
 Bring your creative solutions to the firm&rsquo;s biggest problems: where could our existing solutions do better?
 </li>
 <li>
 Contribute to the development of data models for future analytics and platforms in conjunction with data owners and department managers,
 </li>
 <li>
 Collaborate with unit managers, end users, development staff, and other stakeholders to understand the business value of each analytic effort
 </li>
 <li>
 Apply quality assurance best practices for analytics services and support user feedback and questions
 </li>
 <li>
 Adhere to change control and testing processes for modifications to code and products
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field
 </li>
 <li>
 3+ years of working in a big data environment as a contributing member in self-directed roles
 </li>
 <li>
 Deep experience across the full range of database and business intelligence tools especially SQL on Snowflake, Python, and ability for rapid prototyping in Tableau; publishing and presenting information in an engaging way
 </li>
 <li>
 Understanding of algorithms and software engineering fundamentals
 </li>
 <li>
 Demonstrated ability to distill KPIs and other performance metrics from data
 </li>
 <li>
 Intensive, recent experience in assessing and sourcing data, optimizing data structure and managing database query performance
 </li>
 <li>
 Ability to clearly develop and document analytic requirements with stakeholders
 </li>
 <li>
 Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
 </li>
 <li>
 Proven strategic thinking and creative problem-solving skills with ability to translate strategy into deliverables
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 Experience in the payments industry and/or technology-enabled industries is desirable
 </li>
 <li>
 Build trust-based relationships; we succeed as a team
 </li>
 <li>
 Charisma, gravitas, intellect, flexibility, and integrity that motivates others to trust, collaborate, and follow
 </li>
 <li>
 Have strong interpersonal and communication skills and the ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
 </li>
 <li>
 Think creatively and contribute ideas at all levels of project development
 </li>
 <li>
 Meet deadlines and communicate obstacles to delivery as soon as they become known
 </li>
 <li>
 Be results oriented and have great attention to detail
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Payments - Data Scientist Associate

DBS Bank

<div>
 As part of DBS Bank&rsquo;s vision to be the Best Bank for a Better World powered by data and AI, this role will lead the design and execution of data analytics and AI-led business strategies across Consumer Banking Group (CBG) and Institutional Banking Group (IBG).
 
 
 The incumbent will drive the adoption of AI/ML, including Generative and Agentic AI, to enhance customer experience, unlock cross-sell and up-sell synergies, and deliver cost optimisation through intelligent automation and predictive insights. The role demands deep analytical expertise, strategic thinking, and the ability to influence senior stakeholders across business and technology domains.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 AI &amp; Analytics Strategy:
 
 
 </li>
 </ul>
 Define and drive data analytics&ndash;based strategies that enable business growth, improve operational efficiency, and create competitive advantage across CBG and IBG.
 
 
 <ul>
 <li>
 GenAI &amp; Agentic AI Innovation:
 
 
 </li>
 </ul>
 Lead the identification, development, and implementation of Generative AI and Agentic AI&ndash;driven solutions that reimagine customer journeys, enhance productivity, and support data-led decision making.
 
 
 <ul>
 <li>
 Cross-Business Synergy:
 
 
 </li>
 </ul>
 Partner with product and business heads across CBG and IBG to design integrated data models that enable holistic customer view, cross-sell, and up-sell opportunities.
 
 
 <ul>
 <li>
 Analytics Capability Development:
 
 
 </li>
 </ul>
 Continuously strengthen the analytical and AI capabilities of the team by embedding best-in-class tools, frameworks, and methodologies in line with industry evolution.
 
 
 <ul>
 <li>
 Data Architecture &amp; Governance:
 
 
 </li>
 </ul>
 Collaborate with Group Technology and Data Engineering teams to ensure data pipelines, architecture, and governance frameworks are robust, scalable, and aligned to enterprise data strategy.
 
 
 <ul>
 <li>
 Business Partnering &amp; Influence:
 
 
 </li>
 </ul>
 Act as a trusted advisor to senior management&mdash;translating analytical insights into strategic actions and measurable business impact.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Technical &amp; Analytical Expertise:
 </li>
 <ul>
 <li>
 Strong command of Python and PySpark for data processing, model development, and automation
 </li>
 <li>
 Proven experience delivering GenAI / Agentic AI use cases with tangible business outcomes
 </li>
 <li>
 Deep understanding of data architecture, pipelines, and model deployment frameworks
 </li>
 </ul>
 <li>
 Banking &amp; Business Acumen:
 </li>
 <ul>
 <li>
 Strong understanding of retail and institutional banking products, customer lifecycles, and profitability drivers
 </li>
 <li>
 Demonstrated ability to drive data-driven business transformation in banking or financial services
 </li>
 </ul>
 <li>
 Leadership &amp; Stakeholder Skills:
 </li>
 <ul>
 <li>
 Exceptional stakeholder management, influencing, and communication skills at senior leadership level
 </li>
 <li>
 Track record of building and mentoring high-performing analytics teams
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Postgraduate degree in Data Science, Computer Science, Statistics, Engineering, or Business Analytics
 </li>
 <li>
 12&ndash;18 years of experience in data analytics, AI, or digital transformation&mdash;preferably in banking or financial services
 </li>
 <li>
 Prior exposure to enterprise-scale AI / ML production deployment and AI governance frameworks
 
 
 </li>
 </ul>
 
 Success Measures
 
 
 
 <ul>
 <li>
 Measurable increase in business growth and cost efficiency driven by AI/analytics interventions
 </li>
 <li>
 Successful rollout of GenAI/Agentic AI initiatives delivering business or customer impact
 </li>
 <li>
 Enhanced analytical maturity and AI adoption across CBG and IBG
 
 
 </li>
 </ul>
 
 Primary Location
 
 
 
 India-Maharashtra-Mumbai
 
 
 
 Job
 
 
 
 Analytics
 
 
 
 Schedule
 
 
 
 Regular
 
 
 
 Job Type
 
 
 
 Full-time
 
 
 
 Job Posting
 
 
 
 Oct 23, 2025, 10:30:00 AM
</div>

Senior Vice President, Team lead, Data Scientist, Transformation and Data

General Mills India

<div>
 Position Title
 
 
 Scientist II &ndash; Statistics
 
 
 Function/Group
 
 
 R&amp;D/Packaging
 
 
 Location
 
 
 Mumbai
 
 
 Shift Timing
 
 
 Regular
 
 
 Role Reports to
 
 
 Assistant Manager, Global Knowledge Solutions
 
 
 Remote/Hybrid/in-Office
 
 
 Hybrid
 
 
 
 About General Mills
 
 
 
 
 We make food the world loves: 100 brands. In 100 countries. Across six continents.
 
 With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
 
 
 How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate.
 
 
 us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
 
 
 General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
 
 
 With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
 
 
 We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
 
 
 
 Job Overview
 
 
 
 
 Function Overview
 
 
 
 In partnership with our cross-functional partners, ITQ innovates and develops products that meet the ever-changing needs of our consumers and enables long-term business growth. We identify and develop technologies that shape and protect our businesses today and into the future. ITQ operates across three organizations: Global Applications, Capabilities COEs, and Shared Services &amp; Operations
 
 
 For more details about General Mills please visit this Link
 
 
 
 Purpose of the role
 
 
 
 The Global Knowledge Services (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.
 
 
 The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value statistical work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.
 
 
 The Scientist II in this program area is expected to: take ownership of the projects, deep expertise in statistical methodologies, data analysis, and model development. They will be responsible for providing advanced statistical consulting services, developing analytics solutions, and supporting decision-making processes across various projects.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 70%of Time-Excellent Technical Work
 </li>
 <li>
 Independently work on projects and take ownership of the deliverables.
 </li>
 <li>
 Provide expert statistical consulting and support to internal and external clients on various projects.
 </li>
 <li>
 Design, implement, and interpret statistical analyses, including hypothesis testing, regression analysis, experimental design, and multivariate analysis.
 </li>
 <li>
 Develop and validate statistical models for predictive and prescriptive analytics.
 </li>
 <li>
 Collaborate with cross-functional teams to translate complex data into actionable insights.
 </li>
 <li>
 Advise on best practices for data collection, quality control, and management.
 </li>
 <li>
 Develop effective strategies for programming and data analysis based on client consultations and project briefs.
 </li>
 <li>
 Create high-quality programs for data preparation, data cleaning, statistical analysis, and results validation.
 </li>
 <li>
 Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.
 </li>
 <li>
 Effectively and efficiently use advanced statistical software (e.g., R, Python) in support of project work.
 </li>
 <li>
 Leveraging multiple data sets to discover new insights.
 </li>
 <li>
 Create accurate and clear summary tables, visualizations, reports, and models that convey the required information and insights.
 </li>
 <li>
 Prepare detailed reports, presentations, and publications to communicate findings and recommendations.
 </li>
 <li>
 Mentor and train team members on statistical techniques and software.
 
 
 </li>
 </ul>
 15% of Time-Client Consultation and Business Partnering
 
 
 <ul>
 <li>
 Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.
 </li>
 <li>
 Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.
 </li>
 <li>
 Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings.
 
 
 </li>
 </ul>
 10% of Time-Innovation, Continuous Improvement (CI), and Personal Development
 
 
 <ul>
 <li>
 Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value.
 </li>
 <li>
 Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes.
 </li>
 <li>
 Continually build skills and knowledge in the fields of statistics, and the relevant sciences.
 
 
 </li>
 </ul>
 5% of Time-Administration
 
 
 <ul>
 <li>
 Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events, and activities.
 </li>
 <li>
 Complete other administrative tasks as required.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Minimum Degree Requirements: Ph.D. in Statistics from an accredited university
 </li>
 <li>
 Minimum 2 years of related experience required
 
 
 </li>
 </ul>
 
 Specific Job Experience Or Skills Needed
 
 
 
 <ul>
 <li>
 D. in Statistics or a closely related field.
 </li>
 <li>
 Extensive knowledge of statistical theories, methodologies, and software (e.g., R, Minitab, Python, SQL).
 </li>
 <li>
 Proven experience in applying statistical techniques to real-world problems across various industries.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently on complex projects.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex statistical concepts to non-technical audiences.
 </li>
 <li>
 Experience with large datasets, data mining, and machine learning is a plus.
 </li>
 <li>
 Working experience in GCP is a plus.
 </li>
 <li>
 Experience in working on a project from inception to end is desirable.
 
 
 </li>
 </ul>
 
 For Global Knowledge Solutions
 
 
 
 <ul>
 <li>
 Ability to effectively work cross-functionally with internal/global team members.
 </li>
 <li>
 High self-motivation, with the ability to work both independently and in teams.
 </li>
 <li>
 Excels at driving projects to completion, with attention to detail.
 </li>
 <li>
 Ability to exercise judgment in handling confidential and proprietary information.
 </li>
 <li>
 Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.
 </li>
 <li>
 Demonstrated creative problem-solving abilities, attention to detail, ability to &ldquo;think outside the box.&rdquo;
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Preferred Major Area of Study: Statistics
 </li>
 <li>
 Preferred Professional Certifications: R, Python
 </li>
 <li>
 Preferred 2 years of related experience
 
 
 </li>
 </ul>
 
 Company Overview
 
 
 
 We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best &mdash; bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what&rsquo;s next.
</div>

Scientist - II

KPMG India

<div>
 
 Job Description
 
 
 
 
 About KPMG in India
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 Big Data
 
 
 
 
 
 Equal employment opportunity information
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 
 Qualifications
 
 
 
 B.E/B.Tech/Post Graduation
</div>

Assistant Manager - Big Data

Jupiter Life Science Consulting

<div>
 Clinical Research Scientist
 
 
 The Clinical Research Scientist will be responsible for the development of post-market clinical research strategies of orthopedic devices to support global regulatory and post-market surveillance requirements.
 
 
 
 About Red Nucleus
 
 
 
 Our purpose is advancing knowledge to improve lives. We succeed by being the premier provider of strategic learning and development, scientific advisory services (commercial, market access, medical affairs), and medical communications solutions for the life sciences industry. Our global team is composed of nearly 1,000 full-time employees whose commitment to creativity, quality, and on-time delivery is unrivaled in our space.
 
 
 At Red Nucleus, we believe in providing a rich working environment that pushes us to innovate in ways that engages our employees to be their best selves. Our culture is about meaningful work, a true sense of community, and fun. We love to celebrate our people and we are proud to have been Internationally recognized as a &ldquo;Great Place to Work".
 
 
 
 Responsibilities Include
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams (Clinical, Medical, Regulatory, R&amp;D, Marketing) to develop post market clinical evidence generation strategies that consider evidence needs for EU Medical Device Regulations (EU MDR). Facilitate clinical evidence reviews with cross functional team to align clinical evidence strategies, document / track decisions and risks, and write PMCF Plans.
 </li>
 <li>
 Develop and write high quality Post-market Clinical Follow-up (PMCF) plans and reports with minimal supervision. Support development and drafting of clinical study protocols, registry plans, epidemiology studies, informed consents, investigator brochures, and other study materials where needed.
 </li>
 <li>
 Review summaries of clinical evidence and PMCF strategies in other areas of the Technical Documentation for accuracy and completeness. This includes the Clinical Evaluation Plan, Clinical Evaluation Report (CEP), Post Market Surveillance Plan and Periodic Safety Update Report (PSUR).
 </li>
 <li>
 Where required, foster relationships with surgeons, hospitals and research teams to gain input into study design, evaluate study feasibility, and identify sites for study execution or data collection. Develop strong collaborative relationships with the study core team and others to ensure study progress for assigned projects and that issues are identified and communicated to leaders.
 </li>
 <li>
 Partner with the Contracts and Payments team to ensure timely execution of all study agreements and corresponding payments for achieved milestones and deliverables.
 </li>
 <li>
 Support clinical scientific discussions with internal stakeholders within Clinical, Medical, Regulatory, R&amp;D and Marketing to drive support of the clinical and regulatory strategy, communicate evidence needs.
 </li>
 <li>
 Contribute to appropriate interpretation and dissemination of all evidence generated, including abstracts, manuscripts, and Clinical Study Reports (CSR), epidemiology study results and clinical literature.
 </li>
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 Develop a strong understanding of the orthopedic device product portfolio and business needs for clinical evidence to meet regulatory requirements.
 
 
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 Qualifications
 
 
 
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 A Master&rsquo;s degree in Biological Science or related discipline, with a minimum of 4 years&rsquo; experience in the medical device industry or healthcare field is required
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 Advanced technical writing skills is required, with demonstrated experience in writing PMCF plans / reports strongly preferred.
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 Clinical expertise in the medical device sector
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 Proven experience in conducting clinical studies, registries particularly in the field of orthopaedics
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 Strong project management skills required, with demonstrable track record of success managing multiple projects simultaneously with minimal supervision.
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 Excellent communication skills, including effective interaction with healthcare professionals (HCPs), hospital staff etc.
 
 
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</div>

Clinical Research Scientist (Device, Ortho)

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