Dear Job Seekers, Greetings from Voice Bay! We are currently hiring for Machine Learning Engineer , If you are interested, please submit your application. Please find below the JD for your consideration: Work Location – Hyderabad Exp – 4 – 10 Years Work Mode – 5 Days Work From Office Mandatory Key Responsibilities  Design, develop, and implement end-to-end machine learning models, from initial data exploration and feature engineering to model deployment and monitoring in production environments.  Build and optimize data pipelines for both structured and unstructured datasets, focusing on advanced data blending, transformation, and cleansing techniques to ensure data quality and readiness for modeling.  Create, manage, and query complex databases, leveraging various data storage solutions to efficiently extract, transform, and load data for machine learning workflows.  Collaborate closely with data scientists, software engineers, and product managers to translate business requirements into effective, scalable, and maintainable ML solutions.  Implement and maintain robust MLOps practices, including version control, model monitoring, logging, and performance evaluation to ensure model reliability and drive continuous improvement.  Research and experiment with new machine learning techniques, tools, and technologies to enhance our predictive capabilities and operational efficiency. Required Skills & Experience  5+ years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting.  Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts.  Proven expertise in data blending, transformation, and feature engineering, adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data.  Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable.  Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R).  Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision.  Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).  Familiarity with MLOps tools and practices, including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines.  Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs.  Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development. Educational Background  Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a closely related quantitative field.  Alternatively, a significant certification in Data Science, Machine Learning, or Cloud AI combined with relevant practical experience will be considered.  A compelling combination of relevant education and professional experience will also be valued. Interested Candidates can share their Resume to the below mentioned Email I.D tarunrai@voicebaysolutions.in hr@voicebaysolutions.in Show more Show less

REMOTE POSITION Senior level associate with 8+ yrs of experience Skills: R and R shiny programming experience is mandatory; SAS experience is optional , Python good to have, experience on at least 1 compete study is great add on. The candidate should be experienced in applying these skills in analysis and reporting of clinical trials and being able to reproduce statistical analysis using R. Data visualization, data wrangling using R will be important skills to have. Knowledge of R packages and their application, Data exploration using R – Shiny apps and application of statistical methodology / concepts will be a huge plus. Strong understanding of phases of clinical trials and the drug development process. Knowledge of / experience in late phase /RWE will be a huge help. Strong communication skills with ability to collaborate with different functions such as biostats, MW is must. Understanding of statistics concepts to analyse the data and converting stats need in programming outputs. Candidate with learning capabilities and self-driven. Clinical trial data understanding, experience on TFL generation, CDISC standards understanding is must. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹1,800,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience 1-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location Baner, Pune Show more Show less

Role- Senior - Presales Type- Full-time Location - Mumbai LeadSquared is currently seeking highly motivated Presales Professionals to join its Pre-sales Team in Bangalore . LeadSquared is a leading Sales Execution SaaS platform used by over 100,000 users across 25 countries to grow their businesses. LeadSquared differentiates itself by focusing on high-velocity sales processes and solving industry-specific problems better than others. Education, Financial Services and Consumer Marketplaces are the key focus areas for LeadSquared. LeadSquared has been recognized as one of the fastest-growing companies in the world: Among the Top 50 fastest growing tech companies in India as per Deloitte Fast 50 programs Frost and Sullivan's 2019 Marketing Automation Company of the Year award Among Top 100 fastest growing companies in FT 1000: High-Growth Companies Asia-Pacific Listed as Top Rates Product on G2Crowd, GetApp, and TrustRadius LeadSquared is backed by institutional investors like IFC, GAJA Capital, Stakeboat Capital, and angels like Jyoti Bansal. Role LeadSquared is looking for Presales Professionals, who will work in close collaboration with the sales team to create solutions and drive business closures. This role is very critical as it will directly impact sales, revenue, customer acquisition, and customer satisfaction. Key Responsibilities To deliver a high-quality experience to the prospects & customers during engagement, acquisition, and onboarding. Present and demonstrate end-to-end product capabilities to all required point-of-contacts at the prospect’s / customer’s end. Create Solution Documents / Business Proposals, respond to RFQs/RFPs and create quick proofs-of-concept / custom demos/integrations to help the sales team negotiate contracts and drive deal closures. Understand the software and tools ecosystem of each prospect/customer and come up with the most optimal ways of connecting LeadSquared to them. Assess the customer needs and arrive at the best solution via close collaboration with the client’s POCs, sales team, product/technology team, delivery team and partner teams, as required. Gain a thorough understanding of the product/platform and continuously learn from new product updates and pitch them appropriately to the clients, based on their requirements. Gain continuous knowledge of the competitive landscape and their offerings across all required domains and regions. Providing continuous feedback to product development/delivery team/sales team w.r.t. new trends/solution expectations from the customer sides based on market demand/research. Continuous engagement with technology, delivery, partners, and 3rd party technology vendors to drive innovations and enhancements to product/platform, thereby creating new opportunities for up-sell / cross-sell across various domains/business verticals and across all regions. Follow best practices and drive process efficiencies/automation & technology innovations. Should aim to become the solution expert and go-to-person for the regional sales team to provide solutions to cater to various customer demands and business needs. Build strong relationships with clients & partners and continuously explore upsell/cross-sell opportunities for LeadSquared products or services with them, in close collaboration with Sales Team / Customer Success Team. Participate actively and deliver Knowledge Sharing Sessions & Training to internal teams/partners. Requirements Engineering (preferably from CS). MBA (Sales / Marketing / Finance). A data science/statistics background would be a plus. 6-8 years of experience in a Pre-sales role Excellent written and verbal communication (English) skills. Excellent presentation and demonstration skills, addressing all key pain points of the client at hand. High degree of expertise in making presentations/proposals and contracts with good commercial sense. Excellent aptitude, problem-solving skills, and quick prototyping / proof -of-concept-creation skills. Should have good exposure and experience w.r.t creating business / commercial proposals and responding to RFQs / RFPs etc. Should be passionate about customer-facing roles. Ability to grasp new technologies and drive executions quickly. Knowledge & Experience in SaaS, CRM Tools, Sales & Marketing Tools, and Cloud/AWS would be a plus. Good understanding of how cloud-based platforms/applications are delivered and consumed. Good understanding of unique features and challenges of SaaS applications (web and mobile) Knowledge of software tools and technologies, prevalent in the Healthcare/Education sector and how they get integrated, would be a plus. Should be focused on delivering results with Quality and possess the ability to multitask. Should have excellent work ethics and be a wonderful team player and collaborator. Knowledge of the latest tools, technologies and innovations is equally important, e.g., knowledge of bots, AI/ML, Propensity, etc. would be a plus. Hands-on experience as a programmer (in any language - web/mobile development) would be a plus. Exceptional critical thinking skills would be a plus. A stint in a start-up / early-stage organization would be a plus. Show more Show less

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift Work Location: In person

Domain: Financial Services Location: Saki Naka, Mumbai Employment Type: Full time Job Summary: Job Summary: We are seeking a highly skilled and motivated Investment Banking Specialist to join our team in Mumbai. The successful candidate will play a key role in conducting benchmarking analytics to support clients and contribute to the internal knowledge building efforts of Coalition Greenwich. JOB PROFILE We are looking for a candidate with excellent quantitative and analytical skills, and the ability to work effectively with significant amounts of data. This includes cleaning, organizing, analyzing, and presenting data using structured methods and frameworks. Role and responsibilities include: Lead the day-to-day activities of the Client Intelligence team supporting benchmarking analytics. Assist in building and maintaining investment banking benchmarking models to estimate granular, product-level key performance metrics and create market size estimates for Global Markets products Derive insights and support the creation of ad-hoc reports to provide market color to senior management of key Investment Banks Check, reconcile, and correct various estimations built into modeling as well as client submissions. Collaborate with internal and external stakeholders to ensure smooth operations. Assist in ad hoc research requests based on primary or secondary sources. Requirements: A master's degree in a related field such as finance, business management, statistics, economics, or a similar analytical field Professional certifications like CFA, FRM, CAIA, etc. are a plus. Excellent communication and interpersonal skills Strong quantitative and problem-solving skills with the ability to work with large datasets. Ability to work well in a team, quick learner, and willing to put in extra effort to build stakeholder relations and gain business knowledge. Strong knowledge of the Corporate and Investment Banking Industry (IBD, FICC, Equities, Transaction Banking, Securities Services) Responsible attitude and ability to complete tasks proactively and efficiently. Prior experience in financial research or analytics Strong independence and self-motivation Advanced skills in MS Office tools, especially Excel and PowerPoint Experience with programming languages like Python/R or BI tools like Power BI is a plus. If you have a passion for Investment banking and analytics, and possess the skills and qualifications we're looking for, we'd love to hear from you! Show more Show less

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role And Responsibilities In the IBM Chief Information Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Preferred Education Master's Degree Required Technical And Professional Expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience 5+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment. Successful completion of Coding Assessment Preferred Technical And Professional Experience Data Science specialized Show more Show less

Introduction: Games24x7 is India’s leading and most valuable multi-gaming unicorn. We’re a full-stack gaming company, offering awesome game playing experiences to over 100 million players through our products - RummyCircle, India’s first and largest online rummy platform, My11Circle, the country’s fastest growing fantasy sports platform and our newest venture- Wowzy LudoRemix. A pioneer in the online skill gaming industry in India, Games24x7 was founded in 2006 when two New York University trained economists Bhavin Pandya, and Trivikraman Thampy met at the computer lab and discovered their shared passion for online games. We’ve always been a technology company at heart, and over the last decade and a half, we’ve built the organisation on a strong foundation of ‘the science of gaming’, leveraging behavioural science, artificial intelligence, and machine learning to provide immersive and hyper-personalised gaming experiences to each of our players. Backed by marquee investors including Tiger Global Management, The Raine Group, and Malabar Investment Advisors, Games24x7 is leading the charge in India’s gaming revolution, constantly innovating and offering novel entertainment to players! Our 800 passionate teammates create their magic from our offices in Mumbai, Bengaluru, New Delhi, Miami, and Philadelphia. For more information and career opportunities you may visit www.games24x7.com. About My11Circle.com Play Games24x7 Pvt. Ltd. operates India's fastest growing fantasy website, www.My11Circle.com, with more than 10 million players across two games. My11Circle offers the simplest online fantasy game in popular formats for free and for cash. The app offers an extremely secure playing environment with multiple payment options and a quick withdrawal system. Summary of Role Marketing Manager plays a critical role in supporting various marketing campaigns for acquisitions, conversions & retention. This role will offer immense insights and learning in the online entertainment space and skill gaming industry in India. You will learn and implement the most innovative marketing strategies and use the most cutting edge marketing tools to implement various campaigns. You will get to work on various aspects of consumer marketing. Data is the DNA of every team member at My11Circle.com. All departments perform rigorous data analysis to take day to day decisions at all stages of player life cycle right from acquisition to retention. MM will be contributing to all parts of the player’s life cycle on the site. MM will have to study the player life cycle and build an understanding of player behavior from all aspects. MM will support in executing multiple campaigns for driving acquisitions, conversions, revenue and retention. Responsibilities include : Self-Study • Spend time on website, play and get a first-hand understanding of how the website works. • Study market research data to build a broad understanding of a typical rummy player. • Analyze funnel data and understand the player movement on the website. Marketing Execution • Understand acquisition, conversion, and revenue and retention strategy. • Support in preparing and executing monthly marketing calendar for various campaigns. • Work with agencies to manage retention campaigns and hit monthly retention and revenue targets. • Perform extensive campaign analysis daily, weekly, monthly to find growth opportunities 1. Perform creative analysis 2. Funnel analysis 3 Take Full ownership for execution of various campaigns on revenue and retention. 4. Work with creative designers / web designers to ensure timely execution of campaigns. 5. Manage and own project timelines, creative quality, and content effectiveness. 6. Work with agency to co-ordinate the campaign content, creative delivery. 7 Create/Work within the reporting framework to analyze effectiveness of all campaigns. 8 Engage in data analysis to improve and refine campaign performance. Minimum Job Qualifications: [E - Expected] [D – Desirable] • E – B-Tech / M-Tech / Economics UG/PG / Statistics US/PG / MBA Marketing/Finance from a very well reputed college and a hunger for learning and implementing marketing. • E - Excellent academic record, strong logical and analytical skills. • E – 3- 6 years of experience in marketing, research, operations (preferably online) • D - Should have experience with at least two of organizing promotional events, running new customer communication programs or running customer retention programs (preferably for a Mobile Product or aMobile website) • D - Ability to work with data and uncover insights into consumer mindset. • E - Out of the box thinker and innovator. • E - Excellent communication (oral and written) and analytical skills. Location: Bangalore Show more Show less

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital). The Role Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles And Responsibilities You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Mandatory Qualifications Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 1-3 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organisations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Working Knowledge of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe. Follow us on LinkedIn & Twitter Show more Show less

Your Team Responsibilities The Climate Data and Content Services team is responsible for the research and assessment of carbon footprint and business initiatives related to climate change for approximately 14,000 companies globally. The team’s research is focused on climate-related metrics, which include carbon emissions, energy performance, and climate change targets and commitments, using a variety of sources, such as annual reports, sustainability reports, quantitative data feeds from third-party providers, news publications, and other company disclosures. Your Key Responsibilities Your primary responsibility is to contribute to the sector expertise of the team and to support all our climate data integration efforts. You will support the quality of our Climate Change Metrics data set within your sector and engage with internal and external stakeholders for better understanding of methodology and data. Your tasks will include reviewing and validating climate data provided by vendors and issuers. In addition, you are expected to address queries pertaining to our Climate data from our internal and external users, reconciling data challenges, training users on our methodologies and processes, and maintaining process documentation. Work with a global team of researchers, data and IT specialists, and vendors to enhance and improve our research and assessment of companies’ carbon footprint, climate change targets and commitments, and climate change mitigation practices. Capture and transform climate data metrics into meaningful information/ratings/scores; Drive coverage and content expansion projects defined by the business; Update and refine industry assessment guides for data collectors and internal analysts; Your Skills And Experience That Will Help You Excel Bachelor's degree in finance, statistics, sustainability, environmental science, business, or related degrees. Knowledge of climate change issues and regulations, including carbon offsets, climate reporting standards (e.g. TCFD, ISSB) and frameworks (e.g. IPCC, UNFCCC, etc.). Minimum of 5+ years working experience in Energy (Oil & Gas) or Industrials or Transport sectors and/or a background on GHG assessments, GRI reporting, or environmental impact assessments. Experience in data visualization tools is desirable. Ability to articulate and communicate complex concepts with ease. Fast learner and strong logical thinker. Ability to work under minimal supervision. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

Role Expectations: Data Collection and Cleaning: Collect, organize, and clean large datasets from various sources (internal databases, external APIs, spreadsheets, etc.). Ensure data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Conduct statistical analysis to support decision-making and uncover insights. Use analytical methods to identify opportunities for process improvements, cost reductions, and efficiency enhancements. Reporting and Visualization: Create and maintain clear, actionable, and accurate reports and dashboards for both technical and non-technical stakeholders. Design data visualizations (charts, graphs, and tables) that communicate findings effectively to decision-makers. Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc Experience in generating the Descriptive , Predictive & prescriptive Insights with Gen AI using MS Copilot in PowerBI. Experience in Prompt Engineering & RAG Architectures Prepare reports for upper management and other departments, presenting key findings and recommendations. Collaboration: Work closely with cross-functional teams (marketing, finance, operations, etc.) to understand their data needs and provide actionable insights. Collaborate with IT and database administrators to ensure data is accessible and well-structured. Provide support and guidance to other teams regarding data-related questions or issues. Data Integrity and Security: Ensure compliance with data privacy and security policies and practices. Maintain data integrity and assist with implementing best practices for data storage and access. Continuous Improvement: Stay current with emerging data analysis techniques, tools, and industry trends. Recommend improvements to data collection, processing, and analysis procedures to enhance operational efficiency. Qualifications: Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications (e.g., in data analysis, business intelligence) is a plus. Experience: Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong knowledge of SQL and experience with relational databases. Familiarity with data manipulation and analysis tools (e.g., Python, R, Excel, SPSS). Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Technical Skills: Proficiency in SQL and data query languages. Knowledge of statistical analysis and methodologies. Experience with data visualization and reporting tools. Knowledge of data cleaning and transformation techniques. Familiarity with machine learning and AI concepts is an advantage (for more advanced roles). Soft Skills: Strong analytical and problem-solving abilities. Excellent attention to detail and ability to identify trends in complex data sets. Good communication skills to present data insights clearly to both technical and non-technical audiences. Ability to work independently and as part of a team. Strong time management and organizational skills, with the ability to prioritize tasks effectively. Show more Show less

Job Overview: The person will be responsible for expanding and optimizing our data and data pipeline architecture. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up. You’ll be Responsible for ? Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. You’d have? We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with data pipeline and workflow management tools: Apache Airflow, NiFi, Talend etc. • Experience with relational SQL and NoSQL databases, including Clickhouse, Postgres and MySQL. Experience with stream-processing systems: Storm, Spark-Streaming, Kafka etc. Experience with object-oriented/object function scripting languages: Python, Scala, etc. Experience building and optimizing data pipelines, architectures and data sets. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable data stores Why Join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com Show more Show less

Premier Research is looking for a Principal Biostatistical Programmer to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success. We are Built for You. We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. We are Built by You. Your ideas influence the way we work, and your voice matters here. We are Built with You. As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Together, we are Built for Biotech™. Join us and build your future here. This role will be specifically working in our end-to-end team therefore SDTM, ADaM and TLF experience is required. What You'll Be Doing Develops SAS programs to generate listings, tables and figures as outlined by mock TLF shells Performs quality control (source code review, double-programming and log review) of SAS programs Develops SAS programs to generate CDISC and other analysis data sets as outlined by respective specifications Prepares specifications for CDISC and other analysis data sets Assists Data Management with SAS programming needs Acts as Lead Biostatistical Programmer to interact with the Lead Biostatistician and the study team Develops and validates general SAS macros What We Are Searching For BS or equivalent from accredited college or university, in statistics, IT, mathematics or closely related field or work related experience to be able to perform this role 6-8 years of experience in SAS programming within the area of clinical trials. Prior experience using computerized information systems preferred. Knowledge of ICH and local regulatory authority drug research and development regulations preferred. Advanced knowledge of SAS Software data set architecture, utilities, and programming techniques Demonstrated working knowledge of advanced SAS macro development and code generation/management algorithms. Show more Show less

Role Description The Junior Data Analyst will be responsible for collecting, analyzing, and interpreting data to assist in decision-making. The role includes tasks such as creating reports, maintaining databases, identifying trends, and supporting data-driven projects. Qualifications Proficiency in data analysis tools and software (e.g., Excel, SQL) Strong analytical and problem-solving skills Experience with data visualization tools (e.g., Tableau, Power BI) Excellent written and verbal communication skills Ability to work independently and remotely Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field Experience in the media or content industry is a plus Show more Show less

Role Description The Data Analyst will be responsible for collecting, analyzing, and interpreting complex data sets to inform business decision-making. On a day-to-day basis, the role involves developing data models, using statistical techniques, ensuring data quality, and generating insightful reports. The Data Analyst will communicate findings to stakeholders and contribute to data-driven decision-making processes. Qualifications Strong Analytical Skills and proficiency in Data Analytics Expertise in Statistics and Data Modeling Excellent Communication skills Proficiency in data visualization tools and software Bachelor's degree in Mathematics, Statistics, Computer Science, or related field Ability to work independently and remotely Experience in the technology or related industry is a plus Show more Show less

Role Description The Junior Data Analyst will be responsible for collecting, analyzing, and interpreting data to provide insights and recommendations. Day-to-day tasks include data cleaning, creating visualizations, generating reports, identifying trends, and working closely with other team members to support data-driven decision-making processes. Qualifications Data collection, cleaning, and analysis skills Proficiency in data analysis tools and software (e.g., Excel, SQL, Python/R) Ability to create visual representations of data (e.g., charts, graphs) and generate reports Strong analytical and problem-solving abilities Excellent written and verbal communication skills Ability to work independently and remotely Bachelor's degree in Data Science, Statistics, Mathematics, or related field Experience in a related field or internship is a plus Show more Show less

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 We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization.. 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 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. 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 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. 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 Preferred Education Master's Degree Required Technical And Professional Expertise Develop and implement advanced analytical models and algorithms to solve complex business problems. Analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities. Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data. Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.Proven experience in advanced analytics, data science, or a similar role.Proficiency in programming languages such as Python, R, or SQL.Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modeling and machine learning algorithms.Excellent analytical, problem-solving, and critical thinking skills.Ability to communicate complex analytical concepts to non-technical stakeholders.Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Preferred Skills Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies Preferred Technical And Professional Experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies Show more Show less

Your Team Responsibilities The Climate Data and Content Services team is responsible for the research and assessment of carbon footprint and business initiatives related to climate change for approximately 14,000 companies globally. The team’s research is focused on climate-related metrics including carbon emissions, energy performance, climate change targets and commitments and other relevant sector specific data, using a variety of sources, such as annual reports, sustainability reports, quantitative data feeds from third-party providers, news publications, and other company disclosures. Your Key Responsibilities Procuring and processing information about globally listed companies such as Using multiple sources: lengthy annual reports, CSR reports, websites, quantitative data feeds, web crawlers Types of information: quantitative data, key performance indicators Topics or subject matters: traditional financial risk, corporate governance and sustainability Types of analysis: rules-based, subjective analysis, written summaries Your primary responsibility is to contribute to the sector expertise of the team and to support all our climate data integration efforts. You will support the quality of our Climate data set within your sector and engage with internal and external stakeholders for better understanding of methodology and data. Your tasks will include reviewing and validating climate data provided by vendors and issuers. You are expected to address queries from internal and external users pertaining to Climate data, reconciling data challenges, training users on methodologies and processes, and maintaining process documentation. Work with a global team of researchers, data and IT specialists, and vendors to enhance and improve our research and assessment of companies’ carbon footprint, climate change targets and commitments, and climate change mitigation practices. Capture and transform climate data metrics into meaningful information/ratings/scores Drive coverage and content expansion projects defined by the business. Update and refine industry assessment guides for data collectors and internal analysts Design and implement process improvements and QA checks to ensure consistent data quality and efficiency Contribute to working committees, projects, or perform other tasks as deemed necessary by the business. Your Skills And Experience That Will Help You Excel Bachelor's/ Master’s degree in finance, statistics, sustainability, environmental science, oil and gas engineering, Power management Knowledge of climate change issues and regulations, including carbon offsets, climate reporting standards (e.g. TCFD, ISSB) and frameworks (e.g. IPCC, UNFCCC, etc.). Minimum of 3-4 years working experience in Energy (Oil & Gas) or Power or Industrials or Transport sectors and/or a background on GHG assessments, GRI reporting, or environmental impact assessments. Experience in data visualization tools is desirable (Power BI/ Tableau/ Python/SQL) Ability to articulate and communicate complex concepts with ease. Fast learner and strong logical thinker. Ability to work under minimal supervision. Anticipate problems and opportunities, and adapt to new challenges. Ability to work with multiple stakeholders in a collaborative global team environment. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

We are hiring talented individuals for our chocolatier and confectionary division in SaudiArabia. Job Role: Quality Assurance Specialist (in SaudiArabia) Work Location: on-site, Riyadh, SaudiArabia Qualifications: Diploma of Food Science and Technology, B. tech or equivalent Good knowledge of Process Monitoring, food specification, Food Safety, HACCP and ISO22000 Familiarity with conducting data analysis and reporting statistics. MS Office. Good communication skills. Required Experience: Proven work experience as a Quality Assurance or similar role Working knowledge of tools, methods and concepts of quality assurance Solid knowledge of relevant regulatory standards Good communication skills, both verbal and written Excellent data collection and analysis skills Strong attention to detail Relevant training and/or certifications as a Quality Assurance Specialist Responsibilities: Daily, weekly and monthly quality testing, inspections and procedures. Initiate corrective actions to have final products with required specifications. Support Quality Control Manager to train associates on safety program to protect employees against food safety hazards/harm. Update and maintain all documentation for auditing purposes and collect samples for shelf life and laboratory analysis. Report to QC Supervisor or QC Manager specific information related to product information from R&D, PPD, or production. Conduct quality calibrations, internal audits and project assignments in timely, safe and professional manner. Report results, issues and roadblocks to Quality Supervisor or Quality Manager. Convey any instrumentation issues to QC Supervisor for review and resolution. Report QC Supervisor or QC Manager of unusual product observations and analytical results while analysing or sample handling. Comply with established quality, safety, and environmental procedures and policies. Participate in the use of a relevant and reliable system to measure quality based on internal and external indicators in order to select priority non-quality to be addressed; track on a monthly basis corrective action plans created following a stringent analysis of the causes of the priority non-quality. Participate in developing and maintaining an appropriate control and internal audit plan. Participate in building an integrated and effective quality management system, compliant with ISO 9001, ISO 22000, operate Group Quality Show more Show less

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectictly and collborattively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for supervision domain. E.g. Anomaly detection, Global Search Engine, ChatBot, specialized/customized models Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 7 years of software development experience. 2+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. What additional skills will be good to have? Familiarity with MLOps practices for model deployment and monitoring. Experience working in investment banking domain with exposure trade life cycle, front office controls supervision. Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India Show more Show less

Company Description Sportsdunia is a rapidly growing global sports media platform founded in 2023 that provides real-time updates, expert analysis, and exclusive content on football, cricket, basketball, gaming, and esports. We are committed to transforming sports journalism by delivering authentic, data-driven news, analysis, and statistics for sports enthusiasts around the world. Sportsdunia offers live match coverage, including real-time scores, lineups, stats, and more, ensuring sports fans never miss a moment of the action. Role Description This is a full-time on-site role for a Content Editor located in Gurugram at Sportsdunia. The Content Editor will be responsible for managing content, editing editorial pieces, web content writing, research, and writing. The role involves day-to-day tasks associated with editing and overseeing the quality and consistency of content across various sports categories. Qualifications Content Management and Editorial skills Web Content Writing and Writing skills Research skills Experience in sports journalism or related field Strong attention to detail and ability to meet tight deadlines Excellent communication and organizational skills Ability to work collaboratively in a fast-paced environment Bachelor's degree in Journalism, English, Communications, or related field Show more Show less

Requisition Number: 101352 Architect I - Data Location: This is a hybrid opportunity in Delhi-NCR, Bangalore, Hyderabad, Gurugram area. Insight at a Glance 14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortune’s World's Best Workplaces™ list #14 on Forbes World's Best Employers in IT – 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions. About The Role As an Architect I , you will focus on leading our Business Intelligence (BI) and Data Warehousing (DW) initiatives. We will count on you to be involved in designing and implementing end-to-end data pipelines using cloud services and data frameworks. Along the way, you will get to: Architect and implement end-to-end data pipelines, data lakes, and warehouses using modern cloud services and architectural patterns. Develop and build analytics tools that deliver actionable insights to the business. Integrate and manage large, complex data sets to meet strategic business requirements. Optimize data processing workflows using frameworks such as PySpark. Establish and enforce best practices for data quality, integrity, security, and performance across the entire data ecosystem. Collaborate with cross-functional teams to prioritize deliverables and design solutions. Develop compelling business cases and return on investment (ROI) analyses to support strategic initiatives. Drive process improvements for enhanced data delivery speed and reliability. Provide technical leadership, training, and mentorship to team members, promoting a culture of excellence. What We’re Looking For 8+ years in Business Intelligence (BI) solution design, with 6+ years specializing in ETL processes and data warehouse architecture. 6+ years of hands-on experience with Azure Data services including Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Azure SQL DB, Synapse, Power BI, and MS Fabric. Strong Python and PySpark software engineering proficiency, coupled with a proven track record of building and optimizing big data pipelines, architectures, and datasets. Proficient in transforming, processing, and extracting insights from vast, disparate datasets, and building robust data pipelines for metadata, dependency, and workload management. Familiarity with software development lifecycles/methodologies, particularly Agile. Experience with SAP/ERP/Datasphere data modeling is a significant plus. Excellent presentation and collaboration skills, capable of creating formal documentation and supporting cross-functional teams in a dynamic environment. Strong problem-solving, time management, and organizational abilities. Keen to learn new languages and technologies continually. Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or an equivalent field What You Can Expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. Medical Insurance Health Benefits Professional Development: Learning Platform and Certificate Reimbursement Shift Allowance But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Today's Talent Leads Tomorrow's Success. Learn More About Insight https://www.linkedin.com/company/insight/ Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India Show more Show less

Job Responsibilities: We are seeking an experienced Data Scientist to lead the development of a Data Science program . You will work closely with various stakeholders to derive deep industry knowledge across paper, water, leather, and performance chemical industries . You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers , and augmenting capabilities with additional internal hires. A large part of the job is communicating and developing relationships with key stakeholders and subject matter experts to tee up proofs of concept (PoC) projects to demonstrate how data science can solve old problems in unique and novel ways . You will not have a large internal team to rely on, at least initially, so individual expertise, breadth of data science knowledge , and ability to partner with external companies will be essential for success. In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development and deployment of IoT solutions . Basic Qualification: Bachelor’s degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science 5+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization and expertise in the following areas: Expertise in one or more programming languages : R, Python, MATLAB, JMP, Minitab, Java, C++, Scala Key libraries such as Sklearn, XGBoost, GLMNet, Dplyr, ggplot, RShiny Experience and knowledge of data mining algorithms including supervised and unsupervised machine learning techniques in areas such as Gradient Boosting, Decision Trees, Multivariate Regressions, Logistic Regression, Neural Network, Random Forest, SVM, Naive Bayes, Time Series, Optimization Microsoft IoT/data science toolkit : Azure Machine Learning, Datalake, Datalake Analytics, Workbench, IoT Hub, Stream Analytics, CosmosDB, Time Series Insights, Power BI Data querying languages : SQL, Hadoop/Hive A demonstrated record of success with a verifiable portfolio of problems tackled Preferred Qualifications: Master’s or PhD degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science Experience in the specialty chemicals sector or similar industry Background in engineering, especially Chemical Engineering Experience starting up a data science program Experience working with global stakeholders Experience working in a start-up environment, preferably in an IoT company Knowledge in quantitative modeling tools and statistical analysis Personality Traits: A strong business focus, ownership, and inner self-drive to develop data science solutions to real-world customers with tangible impact. Ability to collaborate effectively with multi-disciplinary and passionate team members . Ability to communicate with a diverse set of stakeholders . Strong planning and organization skills , with the ability to manage multiple complex projects . A life-long learner who constantly updates skills. Show more Show less

Basic Function Responsible for the operations of independent production lines as well as finished Goods packing. Responsible for administration job of production department, backup for production data statistics. Continuously improve performance on safety, quality and productivity. Roles & Responsibilities Follow HSE regulation and rules in daily operation, achieve Goal Zero target. Manage the day to day line operations as per the process order. Activities likes line start up, changeovers, line operation, finished Goods packing etc should be handelled with quality of product. Responsible to verify and ensure packaging of Finished Goods with zero defect in quality of product. Responsible for recording to verify each and every finished bags such as cross contamination, stitching and stacking of Finished Goods. Keep good housekeeping in shopfloor to maintain workplace in a required basic condition. Performs the duties of the reliever in the production department, maintain proper records of manpower availability during shifts and ensure report to shift leader. Monitor and maintain equipment operation conditions/calibrations of auto-baging machine, stitching machine, weighing scale etc. to eliminate any irregularities. Resonsible for product identification on finished Goods (Product labelling) Responsible to conduct grade changeover activities by cleaning the equipment as per SOPs. Participation Lean /VEP activities, OE assesments etc. Min. Qualifications Diploma in Plastic or polymer from reputed college or university. Work Experience Minimum One Year Of Relevant Experience. Critical Competencies or Skills Awarenss of IATF 16949:2016 and EMS 14001:2015 standards Basic knowledge of MS Office Good written and verbal communication skill Competencies Build Partnerships Deliver Results Drive Innovation Grow Capabilities Promote Inclusion Motivational Fit Technical Skills Show more Show less

Hello Connections, 🚀 UnifyCX is hiring! We are looking for a Support Analyst with 3+ years of hands-on professional experience in projections and forecasting, available to join immediately or within one month🚀 o Title of the Position: Support Analyst o Designation: Analyst o Work Location: Mangalore ( Work from office ) o Shifts: (5:30 PM to 2:30 AM/ 6:30 PM to 3:30 AM) Roles & Responsibilities: (What you’ll do) Provide customer support and communications for customers using our proprietary company software, input/update boundaries and RDR. Handle inbound support tickets, and project management for annual reports. Gather data to adjust for new trends or changes requested by the customer and assist clients in understanding and accessing the product, and answer questions related to prepared forecasts. ü Consistently providing feedback for process improvement ü Gather and enter research data into company software systems and/or into company provided data tables. ü Account for possible project challenges on constraints including risks, time, resources, and scope. ü Participates in the requirements gathering process and assist with school attendance boundary modification. ü Work closely with project management teams to successfully monitor the progress of initiatives. ü Conduct Residential Development research. ü Stay current on all key support topics, including product knowledge and required technical and customer support skills. ü Collaborate with peers and colleagues to best serve the needs of customers. ü Document and track cases using CRM tool. ü Meet and exceed all expectations and established benchmarks. ü All other duties as assigned. ✅ Qualifications include: ü 2+ years of work experience in the Technical Support/Project Management field. ü Experience in web-based services, technology solutions or training services preferred. ü Proficient in Microsoft Office suite, especially with Excel formulae and Database functions required. ü Strong technical aptitude with the ability to work with data points and draw logical assumptions. ü Strong time management skills with the ability to multi-task, stay organized in a fast-paced environment, and prioritize. ü Strong verbal and written communication skills ü Exemplary customer service and conflict resolution skills ü Ability to successfully multitask and shift work focus when needed ü Ability to maintain a positive attitude and foster a collaborative and unified work environment. ✅ Skills: ü Well versed with excel. ü Has hands on experience working on large sets of customers data ü Excellent written & verbal communication and presentation skills. ü Good understanding of probability & basics of statistics ü Strong data visualization skills ü Strong customer service skills ü Good analytical, troubleshooting and organization skills. 🚀 If you're interested, please share your resume with Rakesh at rakesh.a@unifycx.com Show more Show less