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applied ai/ml - analyst

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data science specialist

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 A Data Scientist applies analytical, statistical, and computational techniques to collect, clean, analyze, extract insights from data and support data-driven decision-making. This role involves working with large-scale datasets to build models, uncover trends, and collaborate with cross-functional teams to improve digital products and services.
 
 
 <ul>
 <li>
 Supports data science initiatives by applying analytical and technical expertise to solve product and platform-related challenges.
 </li>
 <li>
 Collaborates with sales order management teams, technology teams, and business stakeholders to translate requirements into scalable data science solutions
 </li>
 <li>
 Writes efficient, maintainable production-ready code and partners with technology teams to deploy models and data pipelines into live environments.
 </li>
 <li>
 Develops machine learning models and data-driven solutions that improve system performance, user engagement, or operational efficiency.
 
 
 </li>
 </ul>
 Problem Solving &ndash; Identifies technical and analytical challenges in digital systems, explores multiple approaches, and selects optimal solutions to improve product outcomes.
 
 
 <ul>
 <li>
 Artificial Intelligence Ethics &ndash; Applies ethical principles to ensure fairness, transparency, and accountability in AI-driven features and data usage.
 </li>
 <li>
 Programming &ndash; Develops and maintains code using Python, R, and/or SQL to support data processing, analysis, and model development.
 </li>
 <li>
 Data Analysis &ndash; Analyzes structured and unstructured data to uncover patterns, trends, and insights that inform product and business decisions.
 </li>
 <li>
 Data Wrangling &ndash; Cleans, transforms, and prepares raw data from various sources for analysis and modeling.
 </li>
 <li>
 Statistics &ndash; Applies statistical techniques to validate hypotheses, measure feature impact, and support experimentation.
 </li>
 <li>
 Algorithms &ndash; Implements machine learning algorithms for use in cases such as classification, regression, clustering, or forecasting.
 </li>
 <li>
 Communication &ndash; Translates complex data findings into clear narratives and visualizations using tools like Power BI, tailored to technical and non-technical audiences. Business Understanding &ndash; Aligns data science work with product goals, user needs, and business KPIs to maximize impact.
 </li>
 <li>
 Automation &ndash; Utilizes tools such as Power-BI, Power Automate to streamline data workflows and operational processes.
 </li>
 <li>
 Research &ndash; Explores emerging tools, techniques, and methodologies to enhance the effectiveness and scalability of data science solutions.
 </li>
 <li>
 Metrics Creation &ndash; Designs and monitors performance metrics to evaluate the success of models, features, and business initiatives.
 
 
 </li>
 </ul>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

<div>
 
 Job Summary
 
 
 
 <ul>
 <li>
 This role is responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and provide insights to the organization. The role works with large datasets to identify trends, patterns, and correlations, helping businesses make informed choices and optimize their operations. The role utilizes various tools, techniques, and analytical skills to extract meaningful information from data and communicate their findings to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
 </li>
 <li>
 Uses statistical tools and techniques to identify process gaps, root cause issues, and drive data driven decision making.
 </li>
 <li>
 Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
 </li>
 <li>
 In accordance with plan and team guidance, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
 </li>
 <li>
 Assists the team in performing experiments and validations in accordance with overall plan.
 </li>
 <li>
 Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
 </li>
 <li>
 Assists in preparation of literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
 </li>
 <li>
 Applies foundational principles and contributes proactively to projects through research and data analysis support, providing regular updates on accomplishments and impediments.
 </li>
 <li>
 Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.
 
 
 </li>
 </ul>
 
 
 Education &amp; Experience
 
 Recommended
 
 
 
 <ul>
 <li>
 Four-year Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
 </li>
 <li>
 Typically has 0-2 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 Programming Language/s Certification (SQL, Python, or similar)
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 Agile Methodology
 </li>
 <li>
 Business Intelligence
 </li>
 <li>
 Computer Science
 </li>
 <li>
 Dashboard
 </li>
 <li>
 Data Analysis
 </li>
 <li>
 Data Management
 </li>
 <li>
 Data Modeling
 </li>
 <li>
 Data Quality
 </li>
 <li>
 Data Science
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Data Warehousing
 </li>
 <li>
 Extract Transform Load (ETL)
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Power BI
 </li>
 <li>
 Python (Programming Language)
 </li>
 <li>
 R (Programming Language)
 </li>
 <li>
 SAS (Software)
 </li>
 <li>
 SQL (Programming Language)
 </li>
 <li>
 Statistics
 </li>
 <li>
 Tableau (Business Intelligence Software)
 
 
 </li>
 </ul>
 
 Cross-Org Skills
 
 
 
 <ul>
 <li>
 Effective Communication
 </li>
 <li>
 Results Orientation
 </li>
 <li>
 Learning Agility
 </li>
 <li>
 Digital Fluency
 </li>
 <li>
 Customer Centricity
 
 
 </li>
 </ul>
 
 Impact &amp; Scope
 
 
 
 <ul>
 <li>
 Impacts own work and acts as a team member by providing information, analysis, and recommendations in support of team efforts.
 
 
 </li>
 </ul>
 
 Complexity
 
 
 
 <ul>
 <li>
 Learns to apply basic theories and concepts to work tasks.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 <ul>
 <li>
 This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
 
 
 </li>
 </ul>
 6716
</div>

Data Quality Analyst

Chevron

<div>
 
 About The Position
 
 
 
 Chevron invites applications for the role of Data Scientist within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron&rsquo;s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges
 </li>
 <li>
 Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.
 </li>
 <li>
 Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
 </li>
 <li>
 Understand and communicate the value of proposed opportunity with team members and other stakeholders.
 </li>
 <li>
 Identify needed data and appropriate technology to solve identified business challenges.
 </li>
 <li>
 Clean data and develop and test models.
 </li>
 <li>
 Establish the life cycle management process for models.
 </li>
 <li>
 Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
 </li>
 <li>
 Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
 </li>
 <li>
 Aligns with team on shared goals and outcomes, recognizes others&rsquo; contributions, and work collaboratively &amp; seek diverse perspectives.
 </li>
 <li>
 Takes actions to develop self and others beyond existing skillset.
 </li>
 <li>
 Encourages innovative ideas, adapts to change and changing technologies
 </li>
 <li>
 Understand and communicate data, insights, and model behaviors to stakeholders with varying levels of technical expertise.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience
 </li>
 <li>
 Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)
 </li>
 <li>
 Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred)
 </li>
 <li>
 Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
 </li>
 <li>
 Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.
 </li>
 <li>
 Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
 </li>
 <li>
 Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
 </li>
 <li>
 Ability to translate complex data into actionable insights that drive business value.
 </li>
 <li>
 Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
 </li>
 <li>
 Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.
 </li>
 <li>
 Team-oriented mindset with effective communication skills and the ability to work collaboratively.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
 
 
 Chevron participates in E-Verify in certain locations as required by law.
</div>

Senior Data Scientist

Tiger Analytics

<div>
 
 
 Job Title : Data Scientist /Senior Data Scientist-BFS
 
 
 
 
 Location
 
 
 :
 
 Chennai, Bangalore, Hyderabad
 
 
 Skills : Data Science, Model Building, Python, Regression, Classification
 
 
 Domain : BFS
 
 
 NP :Immediate to 15 Days
 
 
 
 
 
 
 Who we are
 
 
 
 Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
 
 
 Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
 
 
 We are a Great Place to Work-Certified&trade; (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the &lsquo;Best&rsquo; and &lsquo;Fastest Growing&rsquo; analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine
 
 
 
 
 
 
 Curious about the role? What your typical day would look like?
 
 
 
 As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:
 
 <ul>
 <li>
 
 Analytical Translation:
 
 Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
 </li>
 <li>
 
 Problem Solving:
 
 While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
 </li>
 <li>
 
 Client Engagement:
 
 Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
 </li>
 <li>
 
 Algorithmic Expertise:
 
 Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
 </li>
 <li>
 
 Quantitative Mastery:
 
 Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
 </li>
 <li>
 
 Cross-Functional Collaboration:
 
 Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
 </li>
 </ul>
 
 
 What do we expect?
 
 
 <ul>
 <li>
 4 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
 </li>
 <li>
 
 Mandatory
 
 : Minimum 2+ years of experience in the Banking and Financial services industry
 </li>
 <li>
 Good communication skills, both verbal and written.
 </li>
 <li>
 Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
 </li>
 <li>
 Comfortable in SQL with additional proficiency in office tools like Excel &amp; PowerPoint.
 </li>
 <li>
 Experience in production engineering best practices (e.g. Git versioning, Docker).
 </li>
 <li>
 Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
 </li>
 <li>
 Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
 </li>
 <li>
 Excitement to collaborate with diverse stakeholders across the organisation.
 </li>
 <li>
 In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
 </li>
 <li>
 Hunger to learn new technologies and embrace the change.
 </li>
 <li>
 Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
 </li>
 <li>
 Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.
 </li>
 </ul>
 
 
 You are important to us, let&rsquo;s stay connected!
 
 
 
 Every individual comes with a different set of skills and qualities so even if you don&rsquo;t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
 
 
 
 
 
 
 Note:
 
 The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 
 
 Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities
 
 
 
</div>

Data Scientist / Senior Data Scientist- BFS

Societe Generale Global Solution Centre

<div>
 <ul>
 <li>
 
 
 JD: Data Scientist
 
 
 </li>
 <li>
 
 Responsibilities:
 
 </li>
 <li>
 Leverage strong ML model experience in complex data environments to achieve business objectives in innovative and efficient ways.
 </li>
 <li>
 Utilize a solid background in mathematics and statistics to inform model development and evaluation.
 </li>
 <li>
 Design, architect, and develop robust machine learning solutions, with a focus on integrating Large Language Models (LLMs) where applicable.
 </li>
 <li>
 Collaborate effectively within Agile Scrum teams, contributing to iterative development and continuous improvement.
 </li>
 <li>
 Document business processes, workflows, and requirements clearly and comprehensively.
 </li>
 <li>
 Engage in close collaboration with various domains within the organization to ensure alignment and understanding of business needs.
 </li>
 <li>
 Participate in collaborative conceptualization sessions to brainstorm and refine project ideas.
 </li>
 <li>
 
 Mandatory Skills:
 
 </li>
 <li>
 Proficiency in Python, Machine Learning, REST API, and SQL.
 </li>
 <li>
 Experience with data processing, cleansing, and verification to ensure data integrity for analysis.
 </li>
 <li>
 Conduct data quality checks and exploratory analyses to inform model development.
 </li>
 <li>
 Demonstrated programming skills in relevant languages, particularly Python and API development.
 </li>
 <li>
 Build end-to-end machine learning models, including data structures and transformation processes.
 </li>
 <li>
 Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression).
 </li>
 <li>
 Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks).
 </li>
 <li>
 Knowledge of data mining concepts and experience with data visualization tools and dashboards.
 </li>
 <li>
 
 Preferred Skills:
 
 </li>
 <li>
 Experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures.
 </li>
 <li>
 Understanding of natural language processing (NLP) techniques and their applications in business contexts.
 </li>
 <li>
 Familiarity with advanced research topics, including deep learning, kernel methods, spectral methods, and forecasting.
 </li>
 <li>
 Ability to integrate end-to-end ML solutions into product suites and business functions, with a focus on LLM applications.
 </li>
 <li>
 Design technical frameworks based on various use cases, particularly those involving text data and language understanding.
 </li>
 <li>
 Identify opportunities to automate analytical processes, data extraction, and flow processes, especially in the context of LLMs.
 </li>
 <li>
 Propose hypotheses and design experiments to address specific problems, leveraging LLM capabilities where relevant.
 </li>
 <li>
 
 Additional Responsibilities:
 
 </li>
 <li>
 Stay updated with the latest advancements in machine learning and natural language processing, particularly in the context of LLMs.
 </li>
 <li>
 Mentor junior team members on best practices in machine learning and LLM implementation.
 </li>
 <li>
 Contribute to the development of best practices and standards for machine learning and LLM projects within the organization.
 </li>
 </ul>
 
 Why Join Us
 
 
 We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
 
 Business Insight
 
 
 At Soci&eacute;t&eacute; G&eacute;n&eacute;rale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you&rsquo;re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
 
 
 Still hesitating?
 
 
 You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.
 
 
 We are committed to support accelerating our Group&rsquo;s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
 
</div>

NES Fircroft

<div>
 
 
 🌍
 
 Ever dreamed of shaping a greener future through impactful sustainability strategies? Step into the role of an
 
 Environmental &amp; Sustainability Specialist
 
 and become the driving force behind eco-conscious initiatives, regulatory compliance, and sustainable transformation across global operations. This is your chance to lead meaningful change and help build a more sustainable world.
 
 
 
 
 
 
 About the Role
 
 
 
 As an Environmental &amp; Sustainability Specialist, you will be at the forefront of designing and implementing sustainability programs that align with corporate values and global environmental standards. You&rsquo;ll work cross-functionally to ensure compliance, reduce environmental impact, and drive innovation in sustainability practices. Your role will be both strategic and hands-on, offering a unique opportunity to influence how the organization approaches environmental responsibility.
 
 
 
 
 
 
 🌱 What You&rsquo;ll Be Doing
 
 
 
 ♻️
 
 Sustainability Strategy
 
 
 <ul>
 <li>
 Develop and execute comprehensive sustainability initiatives that support long-term environmental goals. You&rsquo;ll identify key impact areas, set measurable targets, and ensure alignment with global ESG frameworks.
 </li>
 </ul>
 
 📊
 
 Data &amp; Reporting
 
 
 <ul>
 <li>
 Collect, analyse, and report environmental performance data, including carbon emissions, energy usage, and waste management. You&rsquo;ll prepare ESG disclosures and sustainability reports for internal and external stakeholders.
 </li>
 </ul>
 
 🏢
 
 Compliance &amp; Audits
 
 
 <ul>
 <li>
 Ensure the organization complies with local and international environmental regulations. You&rsquo;ll support environmental audits, maintain documentation, and implement corrective actions where needed.
 </li>
 </ul>
 
 🤝
 
 Stakeholder Engagement
 
 
 <ul>
 <li>
 Collaborate with internal departments, suppliers, and regulatory bodies to promote sustainable practices. You&rsquo;ll also lead awareness campaigns and sustainability workshops to foster a culture of environmental responsibility.
 </li>
 </ul>
 
 🔍
 
 Risk Assessment
 
 
 <ul>
 <li>
 Conduct environmental risk assessments and develop mitigation strategies to minimize the company&rsquo;s ecological footprint and ensure business continuity.
 </li>
 </ul>
 
 🧪
 
 Innovation &amp; Research
 
 
 <ul>
 <li>
 Stay ahead of industry trends by researching new technologies, materials, and methods that can enhance sustainability performance. You&rsquo;ll recommend and pilot innovative solutions.
 </li>
 </ul>
 
 📚
 
 Training &amp; Awareness
 
 
 <ul>
 <li>
 Design and deliver training programs to educate employees on sustainability practices, environmental compliance, and corporate responsibility.
 </li>
 </ul>
 
 🌐
 
 Project Management
 
 
 <ul>
 <li>
 Lead or support green projects such as energy efficiency upgrades, waste reduction programs, and sustainability certifications (e.g., ISO 14001, LEED).
 </li>
 </ul>
 
 
 
 
 
 🎯 What We&rsquo;re Looking For
 
 
 
 🎓
 
 Education
 
 
 <ul>
 <li>
 A degree in Environmental Science, Sustainability, Environmental Engineering, or a related field is required. Certifications in ESG or sustainability reporting are a plus.
 </li>
 </ul>
 
 📅
 
 Experience
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in environmental compliance, sustainability program management, or ESG reporting within a corporate or consulting environment.
 </li>
 </ul>
 
 📈
 
 Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills, with experience in sustainability frameworks such as GRI, CDP, SASB, or ISO 14001. Proficiency in data analysis tools and sustainability software is highly desirable.
 </li>
 </ul>
 
 💬
 
 Communication
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex data in a clear and engaging way to diverse audiences.
 </li>
 </ul>
 
 🧠
 
 Mindset
 
 
 <ul>
 <li>
 A proactive, detail-oriented, and passionate individual who thrives in a collaborative environment and is committed to driving positive environmental change.
 </li>
 </ul>
 
 
 
 
 
 Why NES Fircroft?
 
 
 <ul>
 <li>
 💰
 
 Attractive Compensation:
 
 Competitive salary and benefits, including medical insurance and health check-ups.
 </li>
 <li>
 🏡
 
 Flexible Work Environment:
 
 Enjoy a hybrid work model and flexible hours to maintain work-life balance.
 </li>
 <li>
 📈
 
 Career Growth:
 
 Continuous training and clear progression pathways to help you achieve your career goals.
 </li>
 <li>
 🎉
 
 Fun Culture:
 
 Participate in regular team events, social activities, and engaging staff nights.
 </li>
 <li>
 🌴
 
 Generous Leave Policy:
 
 18 days of paid leave plus birthday leave, 12 days of casual/sick leave, and 12 bank holidays. Paid leave increases to 20 days after 2 years.
 </li>
 <li>
 💪
 
 Health &amp; Wellness:
 
 Sponsored gym memberships and wellness programs to keep you in top shape.
 </li>
 </ul>
 
 
 
 
 &ldquo;Empower our future with your talent. Join our sustainable energy mission!&rdquo;
 
 
 
 
 
 
 🚀 Join Us &amp; Power the Change!
 
 Apply now to be part of a forward-thinking, growing team making waves in the staffing industry.
 
 
 
 
 
 For more details about NES Fircroft, visit our
 
 website
 
 or
 
 follow us on YouTube
 
 !
 
 
 
</div>

Environmental & Sustainability Specialist

Walmart Global Tech India

<div>
 Position Summary...
 
 
 Walmart is seeking an experienced Senior Advanced Data Analytics Specialist to provide leadership in the advanced data analytics and modeling space within our supply chain department. This role will play a key part in developing a digital twin simulation platform for Walmart's Supply Chain, focusing on data-driven decision making to enhance customer experience, operational cost-effectiveness, and asset efficiency.
 
 
 What you'll do...
 
 
 
 About the Team:
 
 
 
 Centroid team at Walmart serves as the backbone of Walmart's end-to-end supply chain strategy. They are entrusted with the task of designing and implementing a long-term supply chain strategy that uses advanced data analytics and data science. Their primary objective is to ensure that Walmart provides top-tier customer service while supporting the increasing demand over time and simultaneously operating at low and efficient costs.
 
 
 The team utilizes sophisticated data analysis methods to understand patterns, identify potential bottlenecks, and predict future trends. This enables them to optimize processes, make informed business decisions, and enhance overall operational efficiency.
 
 
 One of Centroids key responsibilities also includes the creation of a Digital Twin Simulation platform for Walmart's supply chain. This innovative tool allows the team to test and validate all future strategies and tactical decisions before they are launched operationally. It also enables a deep assessment of long-term strategic sensitivity.
 
 
 In essence, the Centroid teams work is integral to ensuring Walmart's supply chain is robust, flexible, and capable of adapting to ever-changing market demands. Their work helps to keep Walmart at the forefront of retail supply chain management, delivering exceptional service to customers while maintaining efficient operational costs.
 
 
 
 What You'll do:
 
 
 
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 Develop and manage advanced data analytics models to optimize supply chain strategies, balancing customer satisfaction with operational cost and asset efficiency.
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 Leverage data analytics to identify opportunities for improvement and drive impactful results through collaboration with cross-functional teams.
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 Establish relationships across Walmart functional areas to identify best practices, solicit data/input, coordinate interdisciplinary initiatives, and rally support for data-driven recommendations.
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 Secure alignment and support from relevant business partners and management for data-centric projects, leading discussions to drive necessary change.
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 Utilize all available data resources effectively to ensure successful project outcomes.
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 Communicate data insights clearly and persuasively through emails, verbal discussions, and presentations, tailoring communication methods to the audience for maximum impact.
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 Collaborate with multiple supply chain business teams to proactively identify, assess, and leverage cost-saving and service improvement opportunities through advanced data analytics.
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 Utilize advanced analytics models to derive insights that will inform policy design across various supply chain areas, laying out multiple scenarios and performing sensitivity analysis.
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 Collaborate with Data Scientists and Engineers to productionize and scale advanced analytics models as needed.
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 Develop and present compelling data-driven narratives/documents/visuals to influence key stakeholders in their decision-making.
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 Provide coaching and training support to other team members in the supply chain area, leveraging your expertise in advanced data analytics.
 
 
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 What You'll bring:
 
 
 
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 Strong analytical acumen with technical expertise in Advanced Data Analytics and modelling
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 Expert in SQL, - BigQuery like cloud data platforms.
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 Expert in programming in Python, (or R)
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 Experience in using data visualization tools like Tableau and Looker and be able to drive powerful insights.
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 Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark)
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 Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure.
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 Ability to work in a fast-paced, iterative development environment.
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 Strong communication skills, both written and verbal, plus ability to work with cross functional teams of technical and non-technical members.
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 Strong ability to understand the business and have good stakeholder management capabilities.
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 Experience of working in cross-functional environment and leading or mentoring teams.
 
 
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 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 
 Flexible, hybrid work
 
 
 
 We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
 
 
 Belonging
 
 
 
 We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
 
 
 At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
 
 
 
 Equal Opportunity Employer
 
 
 
 Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2240435
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