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data scientist advanced analytics

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour&rsquo;s.
 </li>
 <li>
 Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 An AI Data Scientist at IBM is not just a job title - it&rsquo;s a mindset. You&rsquo;ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
 
 
 We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
 
 
 Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
 
 
 
 Day-to-Day Duties
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
 </li>
 <li>
 Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
 </li>
 <li>
 Strong track record in scientific publications or open-source communities
 </li>
 <li>
 Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
 </li>
 <li>
 &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
 </li>
 <li>
 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
 </li>
 <li>
 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
 </li>
 <li>
 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
 </li>
 <li>
 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
 </li>
 <li>
 planning to uncover actionable insights.
 </li>
 <li>
 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
 </li>
 <li>
 include
 </li>
 <li>
 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
 </li>
 <li>
 Feature engineering, configuring forecasting models
 </li>
 <li>
 Fine tune forecasting model
 </li>
 <li>
 Present results in a clear manner
 </li>
 <li>
 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
 </li>
 <li>
 costs, and enhance service levels.
 </li>
 <li>
 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
 </li>
 <li>
 stakeholders on best practices, tools, and strategies for effective supply chain management.
 </li>
 <li>
 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
 </li>
 <li>
 strategies for continuous improvement.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
 </li>
 <li>
 Engineering, Operations Research, Supply Chain Management, or a related field.
 </li>
 <li>
 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
 </li>
 <li>
 forecasting projects leveraging statistical/ML models; experience with data visualization tools
 </li>
 <li>
 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
 </li>
 <li>
 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
 </li>
 <li>
 distributions, statistical testing, regression, etc
 </li>
 <li>
 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
 </li>
 <li>
 classification, clustering) and optimization models.
 </li>
 <li>
 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
 </li>
 <li>
 management, procurement, logistics, and distribution.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
 </li>
 <li>
 translate insights into actionable recommendations.
 </li>
 <li>
 Personal competencies
 </li>
 <li>
 Ability to work independently and as part of a team in a consulting environment.
 </li>
 <li>
 Attention to detail, with the ability to manage large data sets and complex analysis.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Supply Chain Operations Analytics

Beckman Coulter Life Sciences

<div>
 
 We are currently looking for an &lsquo;Organic Chemist&rsquo; in Research &amp; Development who will be primarily responsible for the synthesis, purification and characterization of Organic compounds/dyes and intermediates.
 
 
 
 This position reports to the Senior Scientist/ Staff Scientist/ Manager, Development Science
 
 &gt;
 
 and is part of the
 
 R&amp;D team
 
 located in
 
 Bangalore North facility
 
 and will be an on-site role
 
 .
 
 
 
 
 In this role, you will have the opportunity to :
 
 
 
 <ul>
 <li>
 Perform multi step Organic Synthesis and Characterization.
 </li>
 <li>
 Purify different Organic compounds by various chromatography/other separation techniques such as column/flash/HPLC and TFF etc.
 </li>
 <li>
 Work on various analytical techniques such as HPLC, UPLC, GPC, UV-Vis, Fluorescence.
 
 
 </li>
 </ul>
 
 The Essential Requirements Of The Job Include
 
 
 
 
 Ph.D. with minimum 3+ years of experience or M.Sc. in Organic Chemistry/Analytical Chemistry Or a minimum 5+ years of work experience preferably in Organic synthesis and analytical method development/
 
 
 AR&amp;D lab
 
 
 either in Chemical Industries/CROs/APIs or in academic research institutions.
 
 
 Experience in characterization of Organic compounds by NMR, LCMS, UPLC, HPLC, UV-Vis/Spectrofluorometer etc. Especially, on handling of HPLC/UPLC/GPC and analytical method development.
 
 
 Good hands-on experience in multi-step Organic Synthesis, especially on handling and optimization of metal catalyzed C-C, C-N coupling reactions and acid-amine coupling reactions.
 
 
 Good laboratory practices- record notebook maintenance.
 
 
 
 
 Travel, Motor Vehicle Record &amp; Physical/Environment Requirements:
 
 
 NO Travel is expected for this role. This would be a fully on-site role
 
 
 
 
 Ability to lift/move or carry equipment like centrifuge rotors /solvents/buffers of 10-15 Liter/10-15 Kg capacity.
 
 
 
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Polymer synthesis and characterization.
 </li>
 <li>
 Knowledge and experience in synthesis, characterization of Organic dyes and Photochemistry of Dyes.
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Organic Chemist

Candescent

<div>
 Candescent is the leading cloud-based digital banking solutions provider for financial institutions. We are transforming digital banking with intelligent, cloud-powered solutions that connect account opening, digital banking, and branch experiences for financial institutions. Our advanced technology and developer tools enable seamless, differentiated customer journeys that elevate trust, service, and innovation. Success here requires flexibility in a fast-paced environment, a client-first mindset, and a commitment to delivering consistent, reliable results as part of a performance-driven, values-led team. With team members around the world, Candescent is an equal opportunity employer.
 
 
 
 Role Overview
 
 
 
 Candescent is hiring a
 
 Senior HR Business Partner (Sr. HRBP)
 
 to support our Product, Engineering, and Technology functions in India. This role blends strategic advisory with hands-on execution and requires deep understanding of scaling tech teams, partnering with global HR groups, and building people systems that evolve with the business.
 
 
 You will be responsible for aligning India&rsquo;s people strategy with global priorities, partnering with HR Centers of Excellence (CoEs), and driving the adoption of global programs such as Compensation, Job Levels, Career Frameworks, and Workday enhancements
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Strategic HR Partnership
 </li>
 <li>
 Serve as the primary HR partner for Product, Engineering, Design, and associated tech orgs.
 </li>
 <li>
 Understand business objectives and translate them into org design, workforce planning, and capability-building initiatives.
 </li>
 <li>
 Coach managers and functional leaders, improving leadership maturity and team effectiveness.
 </li>
 <li>
 Compensation, Levels &amp; Career Framework Adoption
 </li>
 <li>
 Support the rollout and communication of global compensation structures, benchmarking, and annual cycles.
 </li>
 <li>
 Partner with leaders to ensure role leveling, career pathways, and progression frameworks are transparently understood by employees.
 </li>
 <li>
 Provide advisory on salary structures, internal equity, and career development aligned with global design principles.
 </li>
 <li>
 Talent Development &amp; Performance Management
 </li>
 <li>
 Lead the annual performance cycle: goal-setting, mid-cycle reviews, calibrations, and development planning.
 </li>
 <li>
 Implement competency models for technical and managerial roles.
 </li>
 <li>
 Identify high-potential talent and support leadership development and succession planning
 </li>
 <li>
 Employee Experience, Culture &amp; Engagement
 </li>
 <li>
 Embed Candescent values and a culture of collaboration, innovation, and accountability.
 </li>
 <li>
 Build engagement programs, listening forums, and team health mechanisms.
 </li>
 <li>
 Lead data-backed interventions using eNPS, pulse surveys, and global engagement tools.
 </li>
 <li>
 Talent Acquisition Partnership
 </li>
 <li>
 Work with TA to deliver hiring plans, improve recruitment quality, and ensure strong onboarding for tech roles.
 </li>
 <li>
 Participate in key hiring screens, especially for senior technical positions.
 </li>
 <li>
 Create a feedback loop between TA, HRBP, and business for continuous improvement.
 </li>
 <li>
 Org Effectiveness &amp; Change Management
 </li>
 <li>
 Lead org design changes, restructuring, and team evolution as the business scales.
 </li>
 <li>
 Drive change management initiatives with strong stakeholder alignment and effective communication plans.
 </li>
 <li>
 Support integration of new leaders and cross-functional collaboration rhythms.
 </li>
 <li>
 HR Governance, HRMS &amp; Analytics
 </li>
 <li>
 Collaborate with global HRIS teams on Workday configuration, enhancements, and deployment for India.
 </li>
 <li>
 Drive adoption of Workday modules across talent management, performance, compensation, onboarding, and reporting.
 </li>
 <li>
 Leverage analytics from Workday and internal dashboards to diagnose people issues and drive interventions.
 </li>
 <li>
 Strengthen HR operational excellence across onboarding, exits, documentation, and policy adherence.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Experience &amp; Background:
 
 
 
 <ul>
 <li>
 10&ndash;12 years of progressive HR experience, preferably in product, SaaS, or technology-first environments.
 </li>
 <li>
 Strong HRBP experience supporting engineering or tech teams.
 </li>
 <li>
 Prior experience partnering with global HR teams on HR programs and systems.
 </li>
 <li>
 Workday HRMS user or admin-level experience is a strong advantage.
 
 
 </li>
 </ul>
 
 Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Strong business acumen with the ability to operate both strategically and hands-on.
 </li>
 <li>
 Understanding of compensation structures, levelling frameworks, and job design.
 </li>
 <li>
 Data-driven mindset with comfort using HR analytics and Workday reports.
 </li>
 <li>
 Excellent influencing, communication, and stakeholder-management skills.
 </li>
 <li>
 Ability to thrive in a fast-paced, high-growth environment.
 
 
 </li>
 </ul>
 
 Statement to Third Party Agencies
 
 
 
 To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.
</div>

Human resources Senior Manager

Infosys

<div>
 Other key to have Skills:
 
 
 <ul>
 <li>
 SQL knowledge and experience working with relational databases.
 </li>
 <li>
 Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing).
 </li>
 <li>
 Understanding of the project lifecycles: waterfall and agile. Soft Skills:
 </li>
 <li>
 Strong verbal and written communication skills with the ability to work well in a team.
 </li>
 <li>
 Strong customer focus, ownership, urgency and drive.
 </li>
 <li>
 Ability to handle multiple, competing priorities in a fast-paced environment.
 </li>
 <li>
 Work well with the team members to maintain high credibility Work Experience:
 </li>
 <li>
 Overall 6 &ndash; 8 of years of experience in Data Analytics, Data Science and Machine Learning. Educational Requirements (any of the following):
 </li>
 <li>
 Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record.
 </li>
 <li>
 Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework with consistent academic track record. Job Title:
 </li>
 <li>
 Lead Analyst - Data Science (Intermediate/Senior) Role Summary:
 </li>
 <li>
 We are looking for candidates to build and implement analytics solutions to our esteemed clients. The incumbent should have strong aptitude for numbers, experience in any domain and willingness to learn some cutting edge technologies Additional Academic Qualification (good to have):
 </li>
 <li>
 Masters in any area related to Science, Mathematics, Statistics, Economy and Finance with consistent academic track record.
 </li>
 <li>
 PhD in any stream. Location:
 </li>
 <li>
 Bangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore
 </li>
 </ul>
</div>

Data Scientist/Machine Learning

<div>
 
 Introduction
 
 
 
 As a Healthcare Interoperability Consultant, you will help drive IBM&rsquo;s mission of transforming clinical data exchange across the healthcare ecosystem. You will work directly with provider and payer organizations to onboard EMRs, HIEs, validate clinical documents, and ensure seamless interoperability between disparate systems. Your expertise in HL7, CCDA, FHIR and healthcare data standards will enable accurate, reliable, and analytics-ready clinical information flow&mdash;powering downstream functions. Join IBM and make a meaningful impact in improving healthcare data quality, interoperability, and clinical outcomes across millions of members and providers.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Lead the onboarding, integration, and validation of provider EMRs, HIEs and clinical document feeds into payer interoperability platforms.
 </li>
 <li>
 Validate and troubleshoot CCDA 2.1 documents and related interoperability transactions.
 </li>
 <li>
 Perform root cause analysis (RCA) and drive resolution of ingestion failures across CCDA and XML-based message flows.
 </li>
 <li>
 Ensure that clinical data delivered to payer systems is accurate, complete, and analytics-ready.
 </li>
 <li>
 Collaborate with payer integration and data engineering teams to ensure seamless end-to-end data flow.
 </li>
 <li>
 Review provider onboarding packages, test files, and metadata to ensure compliance with interoperability standards (CCDA 2.1).
 </li>
 <li>
 Support continuous improvement of interoperability pipelines, monitoring dashboards, and validation frameworks.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong expertise in CCDA 2.1 structure, validation, and clinical document troubleshooting.
 </li>
 <li>
 Hands-on experience interpreting and validating XML/XSD, including templateId analysis, section/entry validation, and schema-level debugging.
 </li>
 <li>
 Solid understanding of healthcare vocabularies and code systems such as LOINC, SNOMED CT, RxNorm, ICD-10, and their role in mapping clinical content.
 </li>
 <li>
 Experience with EMR/EHR integration workflows (Epic, Cerner, Allscripts, Meditech, etc.) and provider onboarding activities.
 </li>
 <li>
 Ability to analyze ingestion errors across interoperability ecosystems and deliver RCA, remediation plans, and quality checks.
 </li>
 <li>
 Working knowledge of FHIR API concepts (resources, profiles, JSON/XML) and its role in emerging clinical data exchange workflows (preferred).
 </li>
 <li>
 Familiarity with payer-side use cases and clinical data enrichment pipelines
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience working with integration engines (Cloverleaf, Rhapsody, Mirth), healthcare middleware, or interoperability microservices.
 </li>
 <li>
 Exposure to payer data models, Snowflake-based ingestion platforms, or quality-reporting systems (preferred).
 </li>
 <li>
 Knowledge of Agile delivery processes for healthcare data platforms.
 </li>
 <li>
 Experience participating in or supporting clinical data onboarding programs, EMPI matching workflows, or CCDA certification/compliance testing
 </li>
 </ul>
</div>

Application Consultant-Healthcare Applications

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