8 Applied Statistics Jobs

As a Quantitative Research Associate at Alt Carbon, you will be an integral part of our Science & Modeling team at Shonku Labs located in Bangalore (IISc Campus) or through a hybrid working model. With a rich experience of 14 years, you will join our pioneering efforts in Carbon Removal (CDR) to combat climate change by combining science, technology, and tradition. Alt Carbon, founded by Shrey and Sparsh Agarwal, focuses on Carbon Dioxide Removal (CDR) through Enhanced Rock Weathering (ERW) to address historic emissions in the atmosphere. Our operations in Darjeeling's heritage tea estates exemplify our commitment to climate action and sustainability. Your role will involve designing and validating mathematical models related to mineral weathering, geochemical fluxes, and carbon sequestration. You will work collaboratively with various teams to transform complex physical data into accurate CDR figures and contribute to the development of registry-grade carbon accounting methods. Key Responsibilities: - Designing and validating mathematical models for mineral weathering and carbon sequestration - Conducting uncertainty quantification and error analysis - Building Monte Carlo simulations and stochastic models for carbon accounting - Analyzing datasets from lab, field, and satellite sources - Supporting sampling optimization strategies - Collaborating with product and software teams for scientific integration - Contributing to technical publications and whitepapers Qualifications: - Bachelor's or Master's degree in Mathematics, Applied Statistics, Data Science, Physics, Environmental Engineering, Computational Sciences, or related fields - Experience in statistical modeling, error analysis, and simulation methods - Proficiency in Python or R for data analysis - Ability to understand and replicate scientific models and equations - Bonus: Familiarity with spatial data, environmental datasets, or climate modeling As a quantitative thinker, you will thrive in the complexity of real-world data, treating uncertainty as a solvable challenge. Your rigorous approach to modeling and data analysis will play a crucial role in influencing public policy, climate impact, and planetary systems. Join us in shaping the future of carbon removal science and making a meaningful impact on global climate change efforts.,

As a part of the Talent Acquisition team at Tesco, you will play a crucial role in representing Talent Acquisition in various forums and seminars related to process, compliance, and audit. Additionally, you will be responsible for driving a Continuous Improvement (CI) culture, implementing CI projects, and fostering innovation within the team. Your role will involve engaging with business and functional partners to gain a deep understanding of business priorities. You will be required to ask relevant questions and translate the insights into an analytical solution document. This document will highlight how the application of data science can enhance decision-making processes. To excel in this role, you must possess a strong understanding of techniques for preparing analytical data sets from multiple complex sources. You will be expected to develop statistical models and machine learning algorithms with a high level of competency. Furthermore, you will need to write structured, modularized, and codified algorithms using Continuous Improvement principles. In addition to building algorithms, you will create an easy-to-understand visualization layer on top of the analytical models. This visualization layer will empower end-users to make informed decisions. You will also be responsible for proactively promoting the adoption of solutions developed by the team and identifying areas for improvement within the larger Tesco business. Keeping abreast of the latest trends in data science and retail analytics is essential for this role. You will be expected to share your knowledge with colleagues and mentor a small team of Applied Data Scientists to deliver impactful analytics projects. Your responsibilities will include leading solution scoping and development to facilitate the collaboration between Enterprise Analytics teams and Business teams across Tesco. It is imperative to adhere to the Business Code of Conduct, act with integrity, and fulfill specific risk responsibilities related to Talent Acquisition, process compliance, and audit. To thrive in this role, you will need expertise in Applied Math, including Applied Statistics, Regression, Decision Trees, Forecasting, and Optimization algorithms. Proficiency in SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS PowerPoint, and GitHub is also required. Additionally, having a basic understanding of the Retail domain and soft skills such as Analytical Thinking, Problem-solving, Storyboarding, and Stakeholder engagement will be beneficial. Joining Tesco's team in Bengaluru offers you the opportunity to be part of a multi-disciplinary team that aims to serve customers, communities, and the planet better each day. By standardizing processes, delivering cost savings, leveraging technological solutions, and empowering colleagues, Tesco in Bengaluru strives to create a sustainable competitive advantage. With a focus on reducing complexity and offering high-quality services, you will contribute to Tesco's mission of providing exceptional experiences for customers worldwide. Tesco Technology is a diverse team of over 5,000 experts located in various countries, including India. The Technology division encompasses roles in Engineering, Product Development, Programme Management, Service Desk Operations, Systems Engineering, Security & Capability, Data Science, and more. Established in 2004, Tesco in Bengaluru plays a vital role in enhancing customer experiences and streamlining operations for millions of customers and over 330,000 colleagues globally.,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

You believe that every candidate brings something special to the table, including yourself! Even if you feel that you're close but not an exact match, Gallagher encourages you to apply. They would be thrilled to receive applications from exceptional individuals like you. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Their culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. The Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Analytics is at the heart of decision-making at the GSC. Leveraging proprietary data, proven techniques, and expertise built over years, the teams at GSC help Gallagher with its business expansion and retention goals. The infrastructural capabilities allow the teams to source, forecast, visualize, model, and manage data seamlessly. The primary focus of the role is to provide guidance and assistance to account teams and clients by using financial decision-making tools and to speak effectively on behalf of the Financial Benefits Consulting team regarding core services. Responsibilities: - Provide and present financial monitoring reports that measure client financial status, track expenses by product line, renewal projections, funding levels, and rates - Maintain proficiency in various proprietary Models and Tools to calculate financial results - Analyze data from carriers on complex clients and provide recommendations to Client Servicing teams - Prepare and analyze various client deliverables as defined by the scope of services of the Financial Benefits Consulting team - Demonstrate understanding of analysis and think beyond the numbers on the page - Conduct special assignments as assigned by management - Collect required data and materials for successful project completion - Communicate effectively in a fast-paced work environment - Navigate through conflict effectively - Demonstrate competence with internal systems - Communicate effectively both orally and in writing - Demonstrate initiative and assertiveness in presenting new ideas Qualifications: - Background in Maths or Stats - Good knowledge of Applied Statistics at an Intermediate Level - Good knowledge of MS Excel & VBA - Intermediate Level proficiency in Python & R - Excellent analytical skills - Good communication skills Gallagher values inclusion and diversity, considering it a core part of their business. Inclusion and diversity are embedded into the organization's fabric, leading with a commitment to sustainability and supporting the communities where they live and work. Embracing employees" diverse identities, experiences, and talents allows Gallagher to better serve clients and communities. Inclusion is seen as a conscious commitment, and diversity is considered a vital strength. Gallagher extends equal employment opportunity in all aspects of the employer-employee relationship and makes reasonable accommodations for qualified individuals with disabilities.,

Job Description: Dreaming big is in our DNA. It's who we are as a company, our culture, our heritage, and more than ever, our future. A future where we're always looking forward, serving up new ways to meet life's moments, and where we keep dreaming bigger. We look for individuals with passion, talent, and curiosity and provide them with teammates, resources, and opportunities to unleash their full potential. The power we create together, when we combine your strengths with ours, is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC, incorporated in 2014 as a strategic partner for Anheuser-Busch InBev, leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do you dream big We need you. Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of Role: - Understand and solve complex business problems with sound analytical prowess to provide impactful insights in decision-making. - Ensure any implementation roadblocks are communicated to the Analytics Manager to prevent project timeline delays. - Document every aspect of the project in a standard way for future reference. - Articulate technical complexities to senior leadership in a simple and easy-to-understand manner. Key Tasks and Accountabilities: - Understand business problems and collaborate with stakeholders to translate them into data-driven analytical/statistical problems during the solution-building process. - Create appropriate datasets and develop statistical data models. - Translate complex statistical analyses over large datasets into insights and actionable steps. - Analyze results and present findings to stakeholders. - Communicate insights using business-friendly presentations. - Mentor other Data Scientists/Associate Data Scientists. - Build a project pipeline in Databricks that is production-ready. - Develop dashboards (preferably in Power BI) for easy consumption of solutions. Qualifications, Experience, Skills: - Level of Educational Attainment Required: Bachelor's/Master's Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative discipline. - Previous Work Experience: Minimum 4-6 years in a data science role, building, implementing, and operationalizing end-to-end solutions. - Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering, etc. - Exposure to optimization and simulation techniques (good to have). - Expertise in building NLP-based language models, sentiment analysis, text summarization, and Named Entity Recognition. - Proven skills in translating statistics into insights, with sound knowledge in statistical inference and hypothesis testing. - Mandatory: Microsoft Office, Expert in Python, Advanced Excel. - An undying love for beer!,

Key Deliverables: Build analytical datasets from multiple data sources for business decision-making Develop statistical and machine learning models aligned with retail functions Create structured algorithms and reusable modules for scalable data solutions Present actionable insights through intuitive dashboards or presentation tools Role Responsibilities: Collaborate with functional teams to translate business needs into analytical use cases Apply CI tools to identify and drive operational improvements Ensure quality and timeliness of deliverables against defined KPIs Create visualization layers that enable end-user decision-making across domains

Key Deliverables: Build statistical models and ML algorithms to solve real business problems Translate business challenges into structured analytical frameworks and data solutions Create scalable, reusable code modules and visualization dashboards for decision making Collaborate cross-functionally to enhance analytical adoption and drive continuous improvement Role Responsibilities: Engage stakeholders to gather business priorities and scope data science solutions Leverage multiple data sets to construct analytical models and insights Share best practices and new advancements with team to upskill and innovate Deliver actionable outputs through intuitive tools or presentations for end-users

Job Description To support our extraordinary teams who build great products and contribute to our growth, we're looking to add a/an Software Validation Engineer - IT located in Chennai Location. Reporting to the Manager and the role involves What a typical day looks like: Good Experience in executing Medical industries software validations, having led and managed projects. Strong working knowledge of applied statistics, quality systems, and regulatory requirements across multiple health authorities including 21 CFR 820, 21 CFR Part 11, ISO 14971, ISO 13485, FDA, EU Medical Device Regulation, GAMP, GPSV, and CSV/CSA High-level strategic problem-solving and reasoning skills. Analyzes evaluates and presents information concerning findings, trends with IT in business, and development. Ensure adherence to software validation processes and perform review & approval for all the software validation activities. Suggests and debates to implement the right SDLC, software validation methods, and procedures with Flex. Train and coach project team members on achieving quality in project deliverables (e.g. GDP, V&V Process, CSV, project-related risks management, resolving the issues by following the right process, and SOP requirements). Conducts meetings (technical & management) to review investigation findings related to IT systems. Cooperates with other department personnel and peers in understanding needs and identifying opportunities for improvements. Serve as the SME for CSV, maintaining the knowledge and information in the CSV area of expertise. Perform software validation activities Liaise between IT, Quality, Project Team, Corporate Quality team, and various regulatory bodies. Keep abreast of regulatory developments within or outside of the company as well as evolving best practices in compliance control. Prepare reports for senior management and external regulatory bodies as appropriate. Escalate non?compliance with a resolution for the fundamental CSV compliance issues. Support the project team to perform audit readiness and project audits. Expected to travel (domestic/internationally) when needed to meet with Flex facility project Teams. Work collaboratively with different departments located in a different geography. The experience we're looking to add to our team: 5 - 10 years of experience in Medical/Life Sciences industries software validation and compliance reviews. Strong working knowledge of applied statistics, quality systems, and regulatory requirements across multiple health authorities including 21 CFR 820, 21 CFR Part 11, ISO 14971, ISO 13485, FDA, EU Medical Device Regulation, GAMP, GPSV, and CSV/CSA High-level strategic problem-solving and reasoning skills. Analyzes evaluates and presents information concerning findings, trends with IT in business, and development. Ensure adherence to software validation processes and perform review & approval for all the software validation activities. Suggests and debates to implement the right SDLC, software validation methods, and procedures with the Flex.