Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Python (Programming Language) Good to have skills : Program Project ManagementMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and collaborating with multiple teams to make key decisions. Your typical day will involve overseeing the application development process, providing solutions to problems, and ensuring the successful delivery of projects. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the application development process- Oversee the successful delivery of projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language)- Good To Have Skills: Experience with Program Project Management- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in Python (Programming Language)- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and workflows to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud platforms and services for AI deployment.- Familiarity with programming languages such as Python or R.- Ability to work with data visualization tools to present insights effectively. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or R. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely delivery of projects- Mentor and guide team members for their professional growth Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Machine Learning- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

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The Data Visualization Specialist role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Data Visualization Specialist domain.

ABOUT EVERNORTH: Evernorthexists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,we solve the problems others don’t, won’t or can’t. Position Overview Cigna,a leading Health Services company, is looking for data engineers/developers in our Data & Analytics organization. The Full Stack Engineer is responsible for the delivery of a business need end-to end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a Full Stack Engineer, among others, is Ownership & Accountability. In addition to Delivery, the Full Stack Engineer should have an automation first and continuous improvement mindset. He/She should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes. Behaviours of a Full Stack Engineer Full Stack Engineers are able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily. They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary. We aim to be cutting-edge engineers – not institutionalized developer Responsibilities Minimize "meetings" to get requirements and have direct business interactions Write referenceable & modular code Design and architect the solution independently Be fluent in particular areas and have proficiency in many areas Have a passion to learn Take ownership and accountability Understands when to automate and when not to Have a desire to simplify Be entrepreneurial / business minded Have a quality mindset, not just code quality but also to ensure ongoing data quality by monitoring data to identify problems before they have business impact Take risks and champion new ideas Qualifications Experience Required 3 - 5 years being part of Agile teams 3 - 5 years of scripting 2+ years of AWS Hand on (S3, Lamda) 2+ years of experience with Pyspark or Python 2+ Experience with cloud technologies such as AWS. 2+ years of hand on with SQL Experience Desired: Experience with GITHUB Teradata, AWS (Glue, Lamda), Databricks, Snowflake, Angular, Rest API, Terraform, Jenkins (Cloudbees, Jenkinsfile/Groovy, password valt) Education and Training Required: Knowledge and/or experience with Health care information domains is a plus Computer science – Good to have Primary Skills: JavaScript, Python, PySpark, TDV, R, Ruby, Perl Lambdas, S3, EC2 Databricks, Snowflakes, Jenkins, Kafka, API Language, Angular, Selenium, AI & Machine Learning Additional Skills: Excellent troubleshooting skills Strong communication skills Fluent in BDD and TDD development methodologies Work in an agile CI/CD environment (Jenkins experience a plus) Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Missing About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Key responsibilities Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation Intensive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior analysts/lead analysts. KPIsTimeliness, accuracy, manager and client feedback (Internal and external as required) Collaborate ,with internal stakeholders and demonstrate the ability transform client questions and problems into analytical solutions Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions Build industry knowledge on the advancements in the field of analytics Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture. Key activities Working in a team to support end-to-end analytical projects Liaising with stakeholders to determine objectives / scope of upcoming projects Data exploration, cleansing and manipulation Determining appropriate type of analysis and undertaking analysis Extracting insights Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools Participate in client meetings Ongoing stakeholder interaction (internal and external as required) on project progress Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team Experience and education required 2-4+ years experience in a technical analytics environment, carrying out data analytics Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS Experience in visualization and data management tools is an added advantage Experience in GenAI/ LLMs is an added advantage Experience working with complex datasets Attention to detail Drive for continuous improvement Participation in external data hackathons and competitions will be an added advantage About The Cigna Group Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

The Perl Programming role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Perl Programming domain.

The Perl Programming role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Perl Programming domain.

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

Eurofins Scientific is an international life sciences company that provides a wide range of analytical testing services to clients across multiple industries. From food and pharmaceuticals to environmental and cosmetic products, Eurofins ensures safety, authenticity, and accuracy. With a global presence and over 900 laboratories, Eurofins is a leader in food, environmental, pharmaceutical and cosmetic product testing, as well as in genomics, clinical studies support, and other specialized diagnostic testing. Applies GMP/GLP in all areas of responsibility, as appropriate Demonstrate and promote the company vision Regular attendance and punctuality Read and understand analytical procedures Review documentation, generated data, calculated results, and final reports according to departmental, corporate, and client SOPs Gain a technical understanding of the techniques in which review is being performed Use MS Windows applications such as EXCEL, Word, Access, Outlook email Conducts all activities in a safe and efficient manner Performs other duties as assigned Qualifications Masters degree in a science-related field with 0-2 years of experience in Bio/Pharmaceutical Chemistry drug product/substance testing with knowledge of regulatory requirements. Theoretical / Practical experience with analytical techniques such as Ligand binding assays, ELISA, RIA, etc. Knowledge of USP/EP compendia, and laboratory software applications such as LIMS, Electronic Notebook is preferred..

Eurofins Scientific is an international life sciences company that provides a wide range of analytical testing services to clients across multiple industries. From food and pharmaceuticals to environmental and cosmetic products, Eurofins ensures safety, authenticity, and accuracy. With a global presence and over 900 laboratories, Eurofins is a leader in food, environmental, pharmaceutical and cosmetic product testing, as well as in genomics, clinical studies support, and other specialized diagnostic testing. Position Summary: Ensuring that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Essential Duties and Responsibilities Applies GMP/GLP in all areas of responsibility, as appropriate Demonstrate and promote the company vision Regular attendance and punctuality Read and understand analytical procedures Review documentation, generated data, calculated results, and final reports according to departmental, corporate, and client SOPs Gain a technical understanding of the techniques in which review is being performed Use MS Windows applications such as EXCEL, Word, Access, Outlook email Conducts all activities in a safe and efficient manner Performs other duties as assigned Qualifications Education/Experience (BMQ): Masters degree in a pharma / science-related field with 2-6 years of experience in Bio/Pharmaceutical or Medical Device Analysis testing with knowledge of regulatory requirements.Experience with chromatography and mass spectrometry analytical techniques (HPLC, GC, LC/MS, GC/MS) knowledge of USP/EP compendia, and laboratory software applications such as Waters Empower software, LIMS, Electronic Notebook is preferred. Additional Preferences: Experience with Agilent MassHunter software Experience with extractables and leachables testing Additional Information Key Candidate Attributes: Self-motivation; excellent quality of work and attention to detail Ability to communicate effectively with coworkers and internal/external clients Ability to learn new tasks quickly and to move easily from task to task Ability to handle prioritization and multiple tasks simultaneously Ability to use a personal computer and learn necessary programs Good communication skills (oral and written) Organizational ability and good judgement Science background/education and/or laboratory experience Strong Math Skills Logical Thinking, Good Reasoning Ability Motivation to excel Coaching/mentoring of peers

Job description: Leadership role to manage team size of 10+ scientists (Ph.D. and M.Sc.) Extensive knowledge in E&L Extractable and Leachable experience in CCS as per USP monograph and medical devices as per ISO guidelines Managing multiple instruments (LC-MSMS, GC-MSMS, ICP-MS, IC etc.) Method development experience in LC-MSMS, GC-MSMS and ICPMS instrument Preparation and Implementation of SOPs related to E& L , general laboratory processes and best guidance. Good knowledge of 21 CFR part 11, Data Integrity principals, good documentation practices in cGMP lab Monitor and management of day-to-day laboratory activities Extensive knowledge of preparation, reviewing and approval capability for standard operating procedure (SOP) and COA Sound knowledge of structural elucidation and interpretation using analytical techniques such as NMR, IR, HPLC, GC, LC-MS etc. Resolving the team conflicts and provide training to the team for development and empowers team members Provide scientific and leadership direction to team members Good knowledge of laboratory safety and be a strong promoter of SHE activities in the lab. Skills Required: For M.Sc, 16-18 years of Discovery Analytical R&D experience and for PhD, 14-16 years of experience in CRO environment Excellent technical, problem-solving, writing, influencing and communication skills Strong leadership with excellent interpersonal skills, proven success of analytical projects and managing cross functional teams Demonstrative communication skills and confident in conveying information to internal/ external customers Skill for resolving the team conflicts and provide training to the team for development and empowers team members Behavioral Competencies: Excellent oral / written communication skills and flexibility to work in a dynamic environment Excellent in Knowledge sharing at all levels Qualifications Qualification M.Sc./PhD/Postdoc Additional Information Specialization Analytical Chemistry/Organic Chemistry, Department E&L Experience (years) 16 - 20

: Medicinal chemistry; Research and development; Literature search; Scifinder / Reaxys; Design and synthesis; combiflash/Biotage; C-C coupling etc Qualifications MSC - Organic Chemistry.

Walkin- Interview Available in Gurgaon Candor Tech Space Wipro Tower 2. Contact Person - Navjot Kumar Job Description Position : Data Analyst Responsibilities: 1. Collecting, cleaning, and analysing large datasets using statistical software and tools, such as R and Python. 2. Creating and maintaining data visualizations and dashboards to effectively communicate insights and trends to stakeholders. 3. Collaborating with cross-functional teams to identify business needs and develop data-driven solutions. 4. Conducting ad-hoc analyses to support business decisions and strategies. 5. Developing and maintaining data quality standards and processes to ensure accuracy and reliability of data. 6. Communicating complex data findings in clear and concise language to non-technical stakeholders. Qualifications: 1. Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. 2. Strong proficiency in at least one statistical programming language, such as R or Python. 3. Experience with data visualization tools and techniques, such as Tableau or Power BI. 4. Familiarity with data warehousing concepts and techniques, such as ETL and data modelling. 5. Strong problem-solving and critical thinking skills, with the ability to analyse and interpret complex data sets. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. 7. Familiarity with machine learning and predictive modelling techniques is a plus. Minimum Experience = 3-5yrs Location- Pune Hinjewadi Phase 2 Rotational shift 1 way cab facility

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. My Role You will work with a growing team, bringing industry expertise and insights with a focus on ESG Risk, Compliance, and asset development. Keep apprised of evolving industry developments, regulations, and client expectations in ESG space Work closely with CxOs and Transformation groups in integrating ESG elements with BAU. Assisting clients mature in their ESG journey through strategic developments. Keeping apprised of evolving industry developments in Environmental, Social and Governance investing and new regulatory standards in EU, APAC and North America (Such as EU taxonomy, CSRD, SFDR etc.) Cooperation with other group entities and risk stewards, to gain insight into emerging risks, best practices, and interpretations. My Profile ESG reporting standards, regulations & frameworks such as CSRD, EU Taxonomy, GRI, TCFD, CDP, DJSI, TNFD, etc. ESG strategy & roadmap development ESG due diligence & assessments Climate change risk advisory, assessments etc. ESG performance and impact measurement through data ESG solutioning - Building and deploying ESG product/tool/prototype, taking different client requirements into account 1 to 8 years of experience in business analysis, data analysis, risk modelling (preferable in ESG & Sustainability domain) with ESG consulting background Knowledge and experience in global environmental standards and frameworkssuch as UN Sustainable Development Goals (UNSDGs), Sustainability Accounting Standards Board (SASB), Task Force on Climate-related Financial Disclosures (TCFD) and others Strong communication, relationship-building skills and be comfortable working in a fast-paced environment Experience in designing or redesigning an ESG solutions. Any experience in using hyperscalers suites such as Microsoft cloud for sustainability, AWS Sustainability solution etc. Experience in ESG suites such as Workiva, SWEEP, Enablon, UL360 etc. What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. • Experience in a data analysis • Proficiency in Excel, SQL, and Python or R.• Power BI and CRM/ERP tools.

Role: Specialist Business Intelligence Location: Chennai Education: BE / BTech(any stream except IT & CS) Job purpose : To support Globally to enhance the working condition of all the Windfarms in Services. Dashboard creation for the stakeholders as per the requirement. Analyzing of Business data. Key accountabilities / Responsibilities: Develop and deploy dashboards to collect data-backed insights. Supporting business intelligence strategies with quantitative analysis Ticket handling focuses on data gathering, analysis and interpreting key business data sets Support operational topics for availability reporting. Support internal stakeholders with root cause analysis and ad hoc investigations using operational turbine data to identify and interpret component driving performance issues Career / Job experience : Minimum 6-7 Years Data Analysis, Business Intelligence, Data Visualization Wind industry or Renewable is added advantage Dashboard developments are must Strong organizational and time management skills with the ability to prioritize tasks effectively Strong multitasking skills Good stakeholder management, excellent communication and interpersonal skills to collaborate with internal and external stakeholders Skills: R/Python programming + R Shiny, Power Bi, SQL + SQL Server, implementing and maintaining data management solutions

Role Overview We are seeking a Research Analytics Manager with a strong technical background and a passion for social impact The candidate will have experience and ability to work with large-scale, nationally representative household surveys and datasets They must demonstrate experience in acquiring, structuring, analyzing, and cleaning data. This project is part of a broader effort to create informed, data-driven ways to estimate the real cost of ending extreme poverty Using household survey data across multiple countries, the effort will provide detailed and actionable cost estimates to support governments and NGOs in planning poverty reduction programs Ultimately, the work aims to impact global efforts to eliminate poverty by equipping decision-makers with more precise tools and insights. The Research Analytics Manager Will Have The Following Responsibilities Immediate engagement: This project requires supervision of the analysis, processing, and cleaning of around 20 large country household sample survey datasets. Supervisory role requires Deep experience and familiarity with large-scale, nationally representative household surveys such as LSMS or DHS, or comparable Indian datasets such as NSSO, NFHS, or the Periodic Labour Force Survey (PLFS) Experience and interest in development economics, preferably in poverty mapping and analysis of the costs of ending extreme poverty. Responsibilities Determine relevant modules and variables from large-scale household surveys, to compile datasets for the purpose of informing economic models of the cost of ending extreme poverty. Oversee and guide data analysts in cleaning, organizing, and preparing large-scale, nationally representative household survey datasets for analysis, providing technical support and troubleshooting as needed. Ensure clear documentation, data quality and consistency across multiple modules and potentially multiple surveys This includes preparing clear Metadata tables, and documentation on the inclusion or exclusion of modules and variables. Lead and oversee the data cleaning process to ensure high-quality, error-free datasets, including handling missing values (NaNs), identifying and resolving anomalies, and maintaining consistency across variables. Coordinate with research leads and external collaborators to align data preparation with the analytical goals of the poverty mapping study. Utilize Python, R, or STATA for statistical modelling, econometric analysis, and predictive analytics. Additional Responsibilities May Include Provide technical guidance and/or quality control on potential project proposals. Act as technical lead/writer or subject matter expert for proposals. Identify and meet with economics experts, academics, and/or other research organizations on potential new research analytics opportunities. Required Qualifications And Skills Masters degree in economics, statistics, international development, public policy, social development or other related field required. At least 5 years of experience with quantitative data analysis, program evaluation, policy analysis, proposal and report writing. Passionate about using data for social impact, with experience working in international development, public health, environmental sustainability, or related fields being a plus. Experience of working with demographic data sets like DHS, NSSO, World Bank Data etc. Desirable: Experience and technical knowledge of poverty estimation in LMIC Understanding of data ethics and responsible data use in diverse contexts. Must have excellent verbal and writing skills. Must have strong Microsoft Word and Excel experience. Ability to work collaboratively in a team environment, with staff from all education and experience levels, as well as across various geographic locations. Additional Requirements The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described. This position may require successful completion of a reference check and employment verification. Athena Infonomics is an Equal Opportunities Employer Athena Infonomics is an equal opportunity employer with a commitment to diversity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Role Summary WSP is seeking an enthusiastic, creative, and delivery-oriented candidate who has practical experience with Environment Data Management service. As an Environment Data Management Consultant you will assist with project teams to set-up pre-sampling database structure to Contaminated lands, Environmental Planning, and Environmental Impact Assessment, and other environmental investigations projects. Assess and optimize our environmental data management system and support environmental projects through effective data management, analysis, and visualization. The successful candidate will collaborate with environmental scientists, engineers, and GIS specialists to ensure our data processes are accurate, efficient, and future-ready . If you have a strong technical background in data management, an eye for system optimization, and a vision for the future of environmental data delivery , we’d love to hear from you. Responsibilities Data Control and Tabulation Work with project teams to set-up pre-sampling database structure (typically based on EQuIS) to incorporate field and laboratory data Configure EQuIS Enterprise Portals for project site Coordinate with analytical laboratories on the delivery of analytical data EDDs through Laboratory Information Management Systems Perform quality assurance/quality control checks on analytical data to confirm compliance with prescribed thresholds and limits Provide tabular output of laboratory and field data in accordance with project requirements System Assessment and Modernization Assess current data management workflows and systems to identify strengths, areas for enhancement, and opportunities to improve data quality and efficiency. Identify automation opportunities to reduce manual effort and improve data accuracy. Research and recommend emerging technologies (e.g., cloud solutions, machine learning applications, or improved visualization tools) for environmental data management. Teamwork and Collaboration Collaborate with environmental scientists, engineers, hydrogeologists, and GIS specialists to proactively support project data needs. Provide technical support and training to project teams on best practices for data management and visualization. Assist in developing project budgets and estimates for data-related components. Possess good communication skills and the ability to collaboratively develop solutions to meet the needs of our multidisciplinary group Team player that enjoys working collaboratively with multiple disciplines and promoting data tools and capabilities within our technical group Coordinate with GIS Technicians on the development of laboratory and field data (e.g. exceedance plots, plan view and/or cross-sectional figures of distribution using ArcGIS or similar platforms) Reporting and Documentation Support preparation of data summaries, and project reports for environmental assessments and regulatory submissions. Maintain data governance standards, ensuring accuracy, consistency, and compliance with project and industry guidelines. Organize and manage project data files, metadata, and version control processes. Promote the efficient use of data tools to ther technical specialists through presentations and webinars Key Competencies / Skills: Mandatory Skills Bachelor’s or Master’s degree in Data Science, Computer Science, Environmental Science, Geographic Information Systems (GIS), or a related field. Experience: 5–8 years of experience in environmental data management and/or data science, with at least 3 years focused on system assessment and process improvement. Technical Expertise: Proficiency with EarthSoft’s EQuIS (desktop and online). Familiarity with EarthSoft’s Suite of Modules (Sample Planning Module, Collect, and Live) Strong SQL skills and experience working with relational databases (PostgreSQL, SQL Server, MySQL, etc.). Proficiency in Microsoft O365 (Excel, Access, SharePoint, OneDrive, Word). Familiarity with data visualization and analytics tools such as Power BI, Tableau, Python (pandas, matplotlib), or R (ggplot, tidyverse). Background in automating data workflows using Python, R, or SQL scripting. Key Competencies Data Quality & Governance: Strong understanding of data validation, quality control, and regulatory compliance in environmental projects. Problem-Solving & Analytical Skills: Ability to interpret complex environmental datasets and develop meaningful insights to address project needs and within the project scope. Possess good communication skills and the ability to collaboratively develop solutions to meet the needs of our multidisciplinary group Communication & Collaboration: Strong written and verbal communication skills to explain data methodologies and findings to technical and non-technical stakeholders. Team player that enjoys working collaboratively with multiple disciplines and promoting the efficient use of data tools within our technical group to meet project needs. Independence & Adaptability: Ability to work effectively both independently and as part of a multidisciplinary team in a fast-paced environment.

Knowledge of at least one analytics tool such as SAS, R, or Python Proficient in MS Excel modeling and VBA Experience working on survey analytics including: Quantitative analysis using statistical tools and Excel statistical formulas Forecasting and trend analysis Creating concept diagrams and reporting Qualifications: Bachelor's or Master's degree in Business Analytics, Economics, Management, Computer Science, Operations Research, or Statistics from a Tier 1 institution.