1151 Statistical Modeling Jobs - Page 37

Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps tools and practices (MLflow, DVC, Docker, etc.) Strong Python programming (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Experience with big data technologies (AWS, Azure, GCP, Hadoop, Spark) Familiarity with relational (MySQL, SQL Server) and non-relational (MongoDB, DynamoDB) databases BI and reporting tools (Power BI, Tableau, Alteryx) Proficiency with Microsoft Office applications (especially Excel) Roles & Responsibilities Analytics & Strategy: Analyze large-scale structured and unstructured data to develop insights and machine learning models across various business domains Apply statistical and machine learning techniques to generate value from operational, financial, and customer data Recommend best-fit algorithms and models with clear justifications for business use Leverage cloud platforms for modeling and big data analysis; utilize data visualization tools to communicate results Operational Excellence: Follow industry-standard coding practices and development lifecycles Formulate hypotheses, develop analytics frameworks, and bring structure to complex problems Collaborate with Data Engineering to maintain core data infrastructure and automate analytical processes Stakeholder Engagement: Work cross-functionally with business stakeholders, engineers, and visualization experts to deliver impactful projects Communicate complex models and results to non-technical stakeholders in a clear and compelling way

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.

Job Title: Analyst Job Location: Remote- WFH Base Location- Bangalore Please find the skillsets below and send us quality profiles on regular basis. Headcounts : 1 Must-Have: 5-8 years experience in Data Science, Machine Learning, NLP, LLM, Prompts, A/B Testing, Hypothesis Testing, Python, SQL, PowerBI, Statistical & Descriptive Analysis Good to Have : Google Analytics, Product Metrics (Conversion Rate, Retention, LTV, Unit Economics) Qualification: B.E/ B.Tech or Bsc + Msc Statistics Work mode : Remote Note : Candidates must be willing to work from 4pm/5pm to midnight weekly twice or thrice based on business requirements. Also Hiring Manager for this role sits in Ukraine. Interview Process: Recruiter screening- 30 mins Screening round- 30 mins- India Panel Technical 1- 60 mins- Ukraine Panel Technical 2- 60 mins- US panel Competency round- 60 mins- US panel Value & Fitment round- 30 mins What You'll Do • Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from deep dives into specific areas of our business. • Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business. • Package and communicate findings and recommendations to a broad audience (including senior leadership) • Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends. • Perform advanced modeling including (NLP, Text mining) would be preferable. • Implement and track business metrics that will help drive the business. • Help determine growth strategy from a marketing and operations perspective. • Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand JA audience and guide informed strategic decisions & executions. What Were Looking For • 5-8 years of experience in e-commerce/customer experience products • Proficiency in analysis and business modeling using Excel. • Experience with Google Analytics, BigQuery, Google Ads, PowerBI, and Python / R would be a plus. • Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer. • Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis • Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results. • Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills. • Ability to communicate effectively with all levels of management and partners from a variety of business functions. • Advanced English level • App-related experience would be preferable.

Job description At Nouryon, our global team of Changemakers takes positive action every day, to reach higher goals collectively and individually. We create innovative and sustainable solutions for our customers to answer societys needs today and in the future. Purpose of the Job The demand planning function is a critical component of the supply chain team, focusing on our ability to predict and manage external demand. The primary responsibility of the Statistical Forecast Expert is to enhance the accuracy and reliability of our statistical forecasts, thereby improving the overall demand planning process. Additionally, this role will be instrumental in increasing the overall usage of statistical forecasts within the organization. The Statistical forecast Expert will focus on the quantitative aspect of the demand planning function. About the job (Job Responsibilities) Demand Planning and Forecasting: Segment historical data to understand ability to statistically forecast and relative importance of SKUS. Prepare historical data for the usage of statistical forecasts (segment, review outliers, etc.). Develop, maintain, and improve statistical forecasting models within our demand planning tool to predict future demand accurately. Regularly evaluate statistical forecast pyramids and methods. Collaboration and communication: Collaborate with Demand Planners and Demand Managers to integrate statistical forecasts into the overall demand planning process. Prepare recommendations for SKUs to rely on statistics for incorporation into the regional and global demand review. Provide regular reports and insights on statistical forecast accuracy and forecast value add at multiple lags on a monthly basis. Performance Analysis and Continuous Improvement: Monitor and continuously improve statistical forecast accuracy and forecast value add. Continuously monitor and evaluate the performance of statistical models, proposing improvements to enhance accuracy and reliability. Stay up to date with industry best practices and emerging trends in statistical forecasting and demand planning. We believe you bring (Education & Experience) Bachelors or masters degree in business, Mathematics, Statistics, or related discipline. Proven experience in statistical forecasting, data analysis, and demand planning. Strong proficiency in statistical software and tools such as R, Python, SAS, or similar. Excellent analytical skills: demonstrable capability to analyze data (including mass cross-reference data validation, trending, and forecasting). Very good English communication skills. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Experience with SAP (or equivalent ERP system), Business Warehouse (or equivalent data warehouse) or Arkieva (or equivalent advanced planning software) is preferred. Solid understanding of supply chain and business processes. Ability to prioritize and proactively complete projects with little direction. Please apply via our online recruitment system. We will not accept applications via e-mail. Once it's with us we will review to see if we have a match between your skills and the role! For more information about our hiring process, visit: nouryon.com/careers/how-we-hire/ We look forward to receiving your application! We kindly ask our internal candidates to apply with your Nouryon email via Success Factors. Were looking for tomorrows Changemakers, today. If youre looking for your next career move, apply today and join Nouryons worldwide team of Changemakers in providing essential solutions that our customers use to manufacture everyday products such as personal care, cleaning, paints and coatings, agriculture and food, pharmaceuticals, and building products. Our employees are driven by the wish to make an impact and actively drive positive change. If that describes you, we will gladly make way for your ambitions. From day one we support you with your personal growth, through challenging positions and comprehensive learning and development opportunities, in a dynamic, international, diverse, and proactive working environment. Visit our website and follow us on LinkedIn. #WeAreNouryon #Changemakers

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Salary : 25 to 40 LPA Exp: 5 to 8 years Location :Mumbai Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Sapiens is on the lookout for a Lead Data Scientist to become a key player in our Bangalore team. If you're a seasoned Data Scientist pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. Location: Bangalore Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity. This position will be part of Sapiens Digital division, for more information about it, click here: Criteria 's Job Requirements General Job Description As the Lead Data Scientist in Sapiens, your primary responsibility is to spearhead the development and implementation of cutting-edge data analytics and machine learning solutions to drive informed decision-making and enhance overall business performance. You will lead a team of data scientists in leveraging advanced statistical models and predictive analytics to assess risk, optimize pricing strategies, and streamline underwriting processes. Collaborating closely with cross-functional teams, you will play a pivotal role in identifying opportunities to leverage data for business growth, customer retention, and fraud detection. Additionally, as a key stakeholder in the development of data-driven strategies, you will contribute to the continuous improvement of underwriting models, claims processing, and customer segmentation. With a focus on innovation, you will stay abreast of industry trends and emerging technologies, ensuring that the organization remains at the forefront of data science advancements within the insurance sector. Your leadership will be instrumental in driving a culture of data-driven decision-making and fostering collaboration between data science and other business functions to achieve strategic objectives. Pre - requisites Knowledge & Experience Master's or Ph.D. in Computer Science, Statistics, or a related field. 3+ years of experience as Lead Data Scientist. Proficient in statistical modeling, machine learning algorithms, and data manipulation techniques relevant to insurance analytics. Experience in deploying models to production, ensuring scalability, reliability, and integration with existing business processes. Previous background in working with AI/ML models with Insurance industry. Proficiency in Python and relevant libraries/frameworks (e.g., TensorFlow, PyTorch). Familiarity with big data platforms (e.g., Hadoop, Spark) for handling and analyzing large datasets efficiently. Solid understanding of data management, governance, and security. Knowledge of regulatory compliance in AI/ML practices. Required Product/project Knowledge Understanding of the insurance industry and its processes. Knowledge of data science, statistics and machine learning applications in the insurance domain Required Skills Programming: Proficient in Python. Tools/Frameworks: Experience with 3 out of DataBricks, ML Flow, TensorFlow, PyTorch, GPT, LLM and other relevant tools. Leadership: Ability to lead and mentor a team. Strategic Thinking: Develop and execute AI/ML strategies aligned with business objectives. Data Management: Ensure data availability and quality for model training. Evaluation: Assess applicability of AI/ML technologies and recommend tools/frameworks Common Tasks Collaborate with product managers, customers, and other stakeholders. Implement monitoring systems for model performance. Evaluate and recommend AI/ML technologies. Oversee model development from ideation to deployment. Collaborate with IT and data governance teams. Required Soft Skills Leadership: Lead and mentor a team of data scientists and engineers. Communication: Collaborate with cross-functional teams and stakeholders. Innovation: Drive innovation in AI/ML strategies for insurance products. Adaptability: Stay updated on the latest advancements in AI/ML technologies. Ethics: Ensure AI/ML practices comply with industry regulations and ethical standards.

We re looking for a Senior Applied Data Scientist who expects more from their career. It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems. What you can expect from us We won t just meet your expectations. We ll defy them. So you ll enjoy the comprehensive rewards package you d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don t just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Strong background in SQL, Python, R, Tableau/ Google analytics/Power BI Exp working on metrics such as retention, churn, engagement and marketing analytics. Excellent visualization skills Mail us- info@a1selectors.com

POSITION: Senior Analyst, Advanced Analytics The Mediabrands Insights team is look for an individual who has an interest in data analysis and econometric modelling. Working across a wide variety of accounts, you will be part of a team that analyses client data and makes media mix recommendations that will increase topline business performance and ROI. This position will work closely with team members across multiple disciplines such as media planning and investment, research, and strategy. Reporting to the Analytics Manager, you will be contributing in various stages of the project, from data gathering and processing, analyzing the data using excel, through to running sophisticated econometrics in our proprietary analysis and optimization software. About the role: The successful candidate in this position will have experience with statistical models, the curiosity to search for new answers to old problems, the desire to be part of a team of data science professionals, and the ability to collaborate with cross-functional team members seamlessly. The media environment is fast-paced and always evolving; we are looking for dynamic candidates who can adapt quickly and enjoys working across a diverse client portfolio. Responsibilities: Work collaboratively with team of analysts to deliver marketing analytics projects for our clients Contribute to end to end modeling projects including: Data Collection & Processing Modeling Quality checks Optimizations Able to roll-up sleeves and contribute to data clean-up, modeling, insights generation and slide creation Pick up new methodologies, business terminologies quickly Contribute to client presentations to communicate, present and evangelize the results to our clients and agency partners Qualifications: Post-secondary education University graduate and/or quantitative background preferred 2+ years of experience in a modeling OR modeling management role preferably in the marketing domain Excellent written and verbal communication skills Prior project management experience is preferred (but not necessary) Knowledge of basic statistics (R-square, MAPE, Hypothesis testing) required Ability to quickly pick up nuances of the business and adapt to business needs Ability to handle multiple projects synchronously Knowledge of coding preferred but not required Marketing background preferred but not required IPG Mediabrands is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for those with a disability or medical need during any stage of the recruitment process. We thank all candidates for their interest in IPG Mediabrands, however, only those candidates selected for an interview will be contacted

Performing factor, strategy, portfolio construction and risk model related research projects Ensure collected data is prepared for cleansing and factor analysis Analysing and interpreting data to identify trends and patterns Results interpretation, presentation of results to the team, and refinement of models based on feedback given. Running scripts / process for existing quants models Manager Selection Portfolio construction Reporting – assimilation of data and preparation of decks Tech Stack – R / Python + SQL Dashboards + website – UX / UI – React / Java Script / HTML +

About The Role We are looking for a talented and motivated Senior Data Scientist to join our Marketing and Product Analytics team In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions This is a fantastic opportunity to apply your analytical skills in a fast-paced, data-driven environment with a strong culture of experimentation and impact Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement. Create clear, concise dashboards and reports to communicate findings to stakeholders. Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes. Continuously identify opportunities to improve decision-making through data. Extract, clean, and transform data to ensure quality and usability across analytics initiatives. Build, validate, and deploy machine learning and statistical models to solve business problems. Required Skills Proficient in Python and SQL (MySQL or Redshift experience preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Solid understanding of machine learning, A/B testing, customer segmentation and statistical analysis. Strong problem-solving skills and a structured approach to working with complex datasets. Excellent communication skills with the ability to present findings clearly o non-technical audiences. Highly motivated and collaborative to excel in a fast-paced remote environment. Education and Background B.E 3-5 years of experience in an analytics/data science role Prior experience in marketing/customer analytics required. Prior experience working in a consumer-tech, credit/lending or fintech environment is a plus.

What you'll be doing As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.

You will: - Work closely with marketing, growth strategy and sales teams based out of our offices in USA, UK, Germany - Develop re-usable tools and templates to quickly create data-driven narratives - Gather requirements, design analyses, identify data sources and define measurement metrics to present insights and recommendations for ready consumption - Be responsible for managing your work pipeline and creating re-usable analysis and documentation You have: - BA/BSc/B.E./BTech/M.tech degree in Computer Science, Statistics, Mathematics, Economics, Physics or related fields - Experience in working with data and conducting statistical and/or numerical analysis - Strong understanding of how data can be stored and accessed in different structures - Experience with writing computer programs to solve problems - Strong understanding of data operations such as sub-setting, sorting, merging, aggregating and CRUD operations - Ability to write SQL code and familiarity with R/Python, Linux shell commands - Be willing and able to quickly learn about new businesses, database technologies and analysis techniques - Ability to tell a good story and support it with numbers and visuals - Strong oral and written communication

ventureit global solutions is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Execute and support R&D activities leveraging metadata from multiple databases, ETL/ELT products, reporting tools etc. Develop, test, and deploy Python and SQL-based solutions to automate and optimize operational processes. Data Analysis & Reporting Required Candidate profile Provide hands-on programming support for AI-driven initiatives. Mastery in Python Programming Advanced SQL Proficiency analytical methodologies, statistical concepts, and data visualization techniques

Role & responsibilities As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes Analyze complex data using statistical and machine learning models to derive actionable insights Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding Ensure model robustness, model generalization, accuracy, testability, and efficiency Write product or system development code Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability. Communicate findings and insights effectively to stakeholders reports and visualizations. Preferred candidate profile A Master's degree in Data Science, Statistics, Computer Science, or a related field. Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn. Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. Superior communication skills, enabling the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment. Proficiency with Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring. In-depth understanding of Azure services and tools for data integration and orchestration.

Job TitleStatistical Analytics Engineer (F/M/D) Experience7+ Years LocationBangalore Notice PeriodImmediate Joiners or Maximum 15 Days Role Over viewJoin our innovative team to drive data-powered advancements in chemistry and materials science As a Statistical Analytics Engineer, youll apply advanced statistical methods, AI, and data science to develop intelligent solutions, enhance process automation, and foster innovation across interdisciplinary teams. Key Responsibilities Lead analytics initiatives leveraging AI, statistical modeling, and data science within KLs technical and scientific domains Design, operationalize, and optimize scalable data pipelines and analytical products Partner with domain experts to innovate data-driven methodologies and tools Prioritize incoming data-related requests by evaluating effort versus impact Develop and automate analytical workflows using statistical techniques Drive cross-functional collaborations and external partner projects Continuously update your skillset through training and contribute to internal knowledge sharing Mentor and support teams in adopting data tools and maintaining data quality standards Qualifications Masters degree or equivalent in Engineering, Chemistry, Physics, or a related field 7"“10 years of experience in data modeling, statistical analysis, and data visualization in manufacturing or industrial environments Proficiency in Python, SQL, and tools such as JupyterLab, GitLab, Airflow, and MLflow Strong expertise in cheminformatics, materials informatics, and generative AI techniques Hands-on experience with interactive application frameworks like Shiny, Dash, or Streamlit In-depth understanding of chemical analysis and organic chemistry Show more Show less

About the Role: Grade Level (for internal use): 08 Department overview The Pricing and Purchasing team under Global Intelligence & Analytics, at S&P Global Market Intelligence delivers vital price, cost and inflation information that helps companies recognize millions of dollars in cost savings. We do this by pulling apart the cost structure of our clients suppliers, and providing a detailed analysis of their prices, costs, demand, and productivity. This gives our clients a strategic advantage in negotiating with suppliers, as well as a blueprint of when to make big purchases, and why. We are seeking an Economist with 3-5 years of experience to join this growing team. In this role, you will develop, enhance, and expand our analyses and forecasts with specific emphasis on translating insights into relevant, actionable client solutions. S&P Global Market Intelligence is looking for a data-driven analyst monitor, forecast, and present the price outlook for their assigned industry. In this role, you will work directly with clients in support of sales, answering ad-hoc pricing questions, demonstrating our price forecast methodology, and explaining our current outlook. Specifically, you will: Monitor and update the historical and forecast data Actively participate in forecast model development efforts Forecast near-term prices for a global buying audience Create monthly and quarterly reports with emphasis on the drivers of the near-term price outlook Respond to clients research-related questions by providing thought leadership and timely insight Support coverage and expansion in Asia Required Education/Experience BA/MA in Economics plus 3-5 years of related experience. Required Skills and Attributes: Strong and adaptable research and analytical skills, including ability to interpret data and research, and write/produce structured, compelling reports Statistical / modeling experience, preferably in EViews Coordination skills; ability to prioritize own workload and work to deadlines and under pressure Strong team spirit Customer-focused background Understanding of labor markets is preferred. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction. For more information, visit . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwideso we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Our benefits include: Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visit Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- RESECH202.1 - Middle Professional Tier I (EEO Job Group), RESECH203 - Entry Professional (EEO Job Group)

This will be an exciting and challenging role that will enable you to work with very large data sets, expose you to cutting edge analysis techniques, work with the latest components in cloud architecture and gain experience in the usage of location data to drive businesses.A successful applicant will be passionate about technology and develop a deep understanding of human behavior in the real world. You will:- Understand the business requirement for analytics and formulate an approach by identifying key datasets, various assumptions, a methodology to be used - Present the analysis in crisp and clear manner for solving location data anomalies/issues- Analyse trends to identify discrepancies to point out reasons for the changes in observed patterns- Provide feedback and share knowledge with the Supply & Data Partnerships and Product team to drive improvement and enhancements- Define proper measurable metrics/variables for analyzing a business problem and provide actionable recommendations.Requirements: - Strong analytical background and critical thinking - Experience with any scripting language - Strong organizational skills and attention to detail - Ability to thrive in a fast-paced, high-volume, and deadline-driven environment- Engineering and Technical degrees are mandatory - Good interpersonal and communication skills - Marketing / Advertising / Analytics related experience is preferred but not necessary

Roles and Responsibilities: You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness, and business value. You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences. You participate in early state design and feature definition activities. Responsible for implementing robust data pipeline using Microsoft, Databricks Stack Responsible for creating reusable and scalable data pipelines. You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products. You have strong communication skills to effectively convey complex data insights to non-technical stakeholders. Critical Skills to Possess: Skills: Advanced working knowledge and experience with relational and non-relational databases. Advanced working knowledge and experience with API data providers Experience building and optimizing Big Data pipelines, architectures, and datasets. Strong analytic skills related to working with structured and unstructured datasets. Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. Azure DevOps experience to deploy the data pipelines through CI/CD. Roles and Responsibilities Skills: Azure Databricks, Azure Datafactory, Big Data Pipelines, Pyspark, Azure Synapse, Azure DevOps, Azure Data Lake Storage Gen2, Event Hub, Azure DWH, API Azure. Experience: Minimum 5-7 years of practical experience as Data Engineer. Azure cloud stack in-production experience. Preferred Qualifications: BS degree in Computer Science or Engineering or equivalent experience

We are seeking an experienced Bioinformatics Technical Lead to drive our computational biology initiatives. The ideal candidate will have 68 years of industry or academic experience (PhD or Masters in a relevant field) with a proven track record in developing and refining high-throughput pipelines for omics data, including RNA-seq, methylation, and new NGS modalities. This highly technical position requires creativity and an aptitude for developing novel computational algorithms. You will work directly with distinguished professors from leading institutions such as MIT, Caltech, Harvard, and others. This role is primarily an individual contributor position with limited leadership responsibilities, guiding a small team (24 highly qualified bioinformaticians) in a technical capacity rather than acting as a full-time manager. Key Responsibilities Pipeline Development & Optimization Design, implement, and optimize scalable, production-grade pipelines for NGS data analysis (RNA-seq, whole-genome, whole-exome, methalomics, NIPT development, novel PCR analysis etc.). Ensure reproducibility, efficiency, and accuracy of computational workflows. Algorithm & Data Analysis Develop and apply novel computational algorithms for gene expression profiling, variant calling, haplotype calls and other genomic analyses. Perform rigorous data mining and statistical analyses to extract actionable insights from large datasets. Technical Leadership Guide and mentor junior bioinformaticians and computational scientists. Conduct code reviews, provide technical feedback, and champion best practices across the team. Collaboration & Cross-Functional Engagement Work closely with molecular biologists, data scientists, and software engineers to translate project goals into robust computational strategies. Communicate results, provide data-driven recommendations, and contribute to scientific publications and intellectual property (as appropriate). Quality & Compliance Maintain high standards of data integrity, documentation, and version control. Implement quality control checks and validation strategies for all workflows. Required Qualifications Education: PhD in Bioinformatics, Computational Biology, Computer Science, or related field; or Masters degree with significant, demonstrable experience. Experience: 6-8 years of hands-on experience analyzing high-throughput NGS data, with an emphasis on RNA-seq. Proven track record of developing and deploying production-level bioinformatics pipelines. Technical Skills: Strong programming background in at least one major language. Familiarity with HPC clusters or cloud computing environments. Expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics. Leadership & Communication: Prior experience in a lead role, supervising or mentoring junior team members. Excellent written and oral communication skills for technical and non-technical audiences. Preferred Qualifications Experience working in a regulated environment (e.g., CLIA, CAP, or similar). Familiarity with workflow management systems (e.g., Nextflow, Snakemake, Cromwell). Knowledge of containerization technologies (Docker, Singularity) and CI/CD pipelines. Publications or patents in computational genomics or related areas. Soft Skills Demonstrated ability to work in a fast-paced, collaborative environment. Strong problem-solving and critical-thinking abilities. Adaptability and willingness to embrace new technologies and methodologies.

Findability Sciences is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Sberbank is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Why We Work at Dun Bradstreet Dun Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . Overview Dun Bradstreet Technology and Corporate Services India LLP is looking for candidate for the role of Analyst to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis. Key Responsibilities: Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting Generate Analytical Insights on various customer portfolios. Develop Predictive Solutions using advanced statistical techniques to enable better decision making. Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP, and development of new capabilities. Proficiency in using Machine Learning techniques. Collaborate with Technology teams to implement analytical solutions and models. Work with stakeholders in providing additional analysis based on specific needs. Work on newer strategic initiatives focused on LLMs and GenAI. Requirements 2 to 5 years of relevant experience in Data Analytics / Data Science roles Strong programming skills in tools such as Pyspark, Python, SQL to manipulate data and conduct statistical analysis. Knowledge of Python packages and GCP / AWS / Databricks. Sound Knowledge and proven experience on application of Statistical / Machine Learning techniques. Experience in BFSI domain / Statistical Modelling Validation is an added advantage. Ability to interpret and translate data into meaningful business insights. Good working knowledge on LLMs and GenAI would be desirable. Excellent verbal, written communication, and presentation skills. . .