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data analytics analyst [t500-20967]

data scientist

Brace Infotech Private Ltd

<div>
 
 Looking for Immediate Joiners
 
 
 
 
 
 Seeking a highly skilled Data Scientist with a strong background in Mechanical Engineering to analyze telemetry data and develop statistical models for identifying and predicting anomalies within the mechanical and electrical infrastructure of data centers.
 
 
 &middot; Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical mechanical systems, including HVAC (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Leverage expertise in mechanical systems to understand equipment behavior, identify anomalies, and contribute to root cause analysis, including understanding key steps in mechanical maintenance.
 
 
 &middot; Develop equations and logic based on control flow, temperature, pressure, and flux for deployed systems, and apply statistical process control to identify mechanical failures within those systems.
 
 
 &middot; Monitor and interpret model outputs to proactively identify and investigate early indicators of equipment degradation, performance deviations, and potential failures.
 
 
 &middot; Collaborate closely with data center operations and engineering teams to validate detected anomalies, conduct comprehensive root cause analysis, and recommend effective corrective actions.
 
 
 &middot; Develop and manage insightful dashboards and reports to visualize key metrics and provide actionable insights to stakeholders.
 
 
 &middot; Continuously refine and enhance anomaly detection algorithms based on new data, feedback from field operations, and evolving industry best practices.
 
 
 Document all findings, analysis methodologies, and resolution steps to contribute to a comprehensive knowledge base for the program.
 
 
 &middot; Bachelor's or Master's Degree in Mechanical Engineering, Systems Engineering, or a related field, with demonstrated experience in Data Science, Computer Science Engineering, or equivalent.
 
 
 &middot; Proven experience in data analysis, statistical modeling, and machine learning.
 
 
 &middot; Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
 
 
 &middot; In-depth knowledge of data center mechanical infrastructure, including HVAC systems (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Exceptional problem-solving abilities and the capacity to work both independently and as a vital member of a cross-functional team.
 
 
 &middot; Excellent communication skills, with the ability to translate complex data findings into clear, actionable recommendations for a non-technical audience.
 
 
 &middot; Strong knowledge with fundamental concepts such as heat transfer, fluid dynamics, and thermodynamics as they apply to cooling systems, including an understanding of refrigerants and coolants.
 
 
 &middot; Critical experience with telemetry data, various sensor types, and their outputs (e.g., temperature, pressure, flow rate) for effective interpretation of raw data feeding anomaly detection models.
 
 
 &middot; Ability to utilize analytical findings to diagnose potential mechanical issues, such as pump failures, leaks, or valve malfunctions. Experience with root cause analysis is a strong plus.
 
</div>

Data Scientist

<div>
 
 
 Job Summary:
 
 
 
 We are looking for a results-driven
 
 Data Scientist
 
 with a strong foundation in
 
 SQL
 
 and
 
 Python
 
 , coupled with hands-on experience in
 
 AI/ML
 
 and exposure to
 
 Generative AI (GenAI)
 
 technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and implement
 
 AI/ML models
 
 for a variety of business use cases, including prediction, classification, clustering, and personalization.
 </li>
 <li>
 Extract, clean, and manipulate large datasets using
 
 SQL
 
 and
 
 Python
 
 for model development and analysis.
 </li>
 <li>
 Apply and experiment with
 
 Generative AI
 
 techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs.
 </li>
 <li>
 Build scalable data pipelines and automate data workflows.
 </li>
 <li>
 Work collaboratively with cross-functional teams to define project goals and deliver actionable insights.
 </li>
 <li>
 Communicate analytical results and technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Stay current with advancements in
 
 AI/ML
 
 and
 
 GenAI
 
 technologies and frameworks.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong programming skills in
 
 Python
 
 with experience in libraries like
 
 Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL
 
 for data extraction, joins, and optimization.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data science best practices.
 </li>
 <li>
 Experience handling structured and unstructured data.
 </li>
 <li>
 Exposure to
 
 Generative AI
 
 tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
 </li>
 <li>
 Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.
 </li>
 </ul>
 
 
</div>

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Assistant Manager: Data Scientist &ndash; Brand Research &amp; Insights
 
 
 Looking for candidates who can support the strategic marketers with advanced analytics, data-driven insights, predictive modeling, and AI-enabled solutions to elevate research, campaign strategy, and reporting. Someone with experience in data science, statistical modeling, data visualization, and marketing analytics&mdash;who is adept at turning complex data into actionable recommendations. The ideal candidate is collaborative, innovative, and eager to learn, with the ability to quickly adapt to changing business requirements and marketing priorities.
 
 
 Key skills and professional experience:
 
 
 <ul>
 <li>
 Overall, 7+ years&rsquo; experience with at least 5+ years of relevant data science, statistical analysis, or marketing analytics experience, ideally with exposure to U.S./Global marketers or professional services.
 </li>
 <li>
 Good knowledge of data science, machine learning, and AI concepts&mdash;including regression, clustering, predictive modeling, and data mining.
 </li>
 <li>
 Hands-on experience with programming languages such as Python and/or R, and proficiency in statistical software (SPSS, SAS, or similar).
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI and Tableau, with the ability to present complex analyses in intuitive graphical and tabular formats.
 </li>
 <li>
 Experience with Generative AI tools and techniques (e.g., large language models, prompt engineering, or AI-driven analytics) is a strong plus.
 </li>
 <li>
 Familiarity with survey programming platforms (Qualtrics, Decipher) and secondary research databases (EIU, EMIS, Gartner, IDC, etc.) is advantageous.
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to synthesize large datasets, spot trends, and draw logical inferences.
 </li>
 <li>
 Strong project management skills&mdash;ability to scope, plan, execute, and deliver analytics projects on time.
 </li>
 <li>
 Collaborative and team-oriented, with a proven ability to manage multiple activities and competing demands simultaneously.
 </li>
 <li>
 Strong communication skills, able to translate technical findings into actionable business insights and present them to non- technical stakeholders.
 </li>
 <li>
 Attention to detail and quality, with a track record of ensuring data integrity and actionable recommendations.
 
 
 </li>
 </ul>
 Work you&rsquo;ll do
 
 
 As a Data Scientist, you will support marketing analytics, advanced research, and campaign strategy for various industries, markets, and functions. You will conduct deep-dive analyses, build predictive models, and generate actionable insights to inform marketing decisions and drive business growth. You&rsquo;ll be expected to proactively identify new opportunities for data- driven marketing, quickly analyze information, spot exceptions or trends, and conduct required follow-up. You should be team-oriented, able to manage multiple projects, and comfortable collaborating with marketers, researchers, and leadership.
 
 
 Key job responsibilities include:
 
 
 <ul>
 <li>
 Advanced analytics and modeling:
 </li>
 <li>
 Develop and implement statistical models (e.g., regression, clustering, segmentation) and machine learning algorithms to extract insights from marketing, survey, and external data.
 </li>
 <li>
 Leverage Generative AI and other emerging technologies to enhance marketing research and campaign effectiveness.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and actionable insights.
 </li>
 <li>
 Create dashboards, infographics, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Marketing and business research:
 </li>
 <li>
 Analyze market, client, and competitor data to inform marketing strategy and campaign planning.
 </li>
 <li>
 Oversee brand data and analytics to identify emerging market trends and opportunities for Deloitte.
 </li>
 <li>
 Collaboration:
 </li>
 <li>
 Build strong relationships with marketers, researchers, and leadership to understand business needs and deliver impactful analytics solutions.
 </li>
 <li>
 Regularly interact with marketing teams to adapt to changing requirements and priorities.
 </li>
 <li>
 Day-to-day responsibilities:
 </li>
 <li>
 Collaborating with teams leads to manage workflow, ensuring adequate resources, and supporting work requests.
 </li>
 <li>
 Contribute to knowledge sharing and continuous improvement of analytics capabilities within the team.
 
 
 </li>
 </ul>
 Location: Hyderabad
 
 
 Shift timings: 11am &ndash; 8pm
 
 
 The team
 
 
 The Brand Research &amp; Insights (BR&amp;I) team is part of the broader Brand Marketing &amp; Communications team. The USI BR&amp;I team supports strategic marketers in developing and implementing effective marketing strategies and plans across industries, regions, and functions. The team provides a wide range of services, which help the Business Chief Marketing Officers, Strategic Marketers, and Partners, Principals, and Directors (PPDs) expand client relationships and build Deloitte&rsquo;s presence and reputation in the market. It develops marketing and research-based insights through competitive intelligence reports, executive profiles, persona-based research, event analysis, research material, and marketing brochures to equip leadership teams to drive strategic initiatives and win business for the firm.
 
 
 
 Qualifications
 
 
 
 Required: Master&rsquo;s degree in Statistics, Mathematics, Data Science, or a related field. Bachelor&rsquo;s degree in Statistics, Mathematics/ B.Tech
 
 
 How you&rsquo;ll grow
 
 
 At Deloitte, we&rsquo;ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities&mdash;including exposure to leaders, sponsors, coaches, and challenging assignments&mdash;to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices, is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people&rsquo;s growth and development. Explore DU: The Leadership Center in India
 
 
 
 Benefits
 
 
 
 At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
 
 
 Deloitte&rsquo;s culture
 
 
 Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
 
 
 Corporate citizenship
 
 
 Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte&rsquo;s impact on the world.
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 312839
</div>

Hyderabad - Data Scientist - Assistant Manager

<div>
 
 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
 
 
 
 <ul>
 <li>
 Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
 </li>
 <li>
 Experience using LLMs in software applications, including prompting, calling, and processing outputs
 </li>
 <li>
 Experience with AI frameworks such as LangChain
 </li>
 <li>
 Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
 </li>
 <li>
 Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
 </li>
 <li>
 Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
 </li>
 <li>
 Ability to communicate results to technical and non-technical audiences
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

PwC Acceleration Center India

<div>
 A career within Actuarial Services, will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third party administrators. You&rsquo;ll provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modelling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyse the impact that new regulation will have on an insurance company&rsquo;s balance sheet or you could be revising businesses&rsquo; projections and making sure they have adequate reserves.
 
 
 To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
 
 
 
 Responsibilities
 
 
 
 As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
 
 
 <ul>
 <li>
 Use feedback and reflection to develop self awareness, personal strengths and address development areas.
 </li>
 <li>
 Delegate to others to provide stretch opportunities, coaching them to deliver results.
 </li>
 <li>
 Demonstrate critical thinking and the ability to bring order to unstructured problems.
 </li>
 <li>
 Use a broad range of tools and techniques to extract insights from current industry or sector trends.
 </li>
 <li>
 Review your work and that of others for quality, accuracy and relevance.
 </li>
 <li>
 Know how and when to use tools available for a given situation and can explain the reasons for this choice.
 </li>
 <li>
 Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
 </li>
 <li>
 Use straightforward communication, in a structured way, when influencing and connecting with others.
 </li>
 <li>
 Able to read situations and modify behavior to build quality relationships.
 </li>
 <li>
 Uphold the firm's code of ethics and business conduct.
 </li>
 <li>
 Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS).
 </li>
 <li>
 Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models).
 </li>
 <li>
 Utilize machine learning models including XGBoost, random forests, and support vector machines.
 </li>
 <li>
 During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin.
 </li>
 <li>
 Experience with programming languages and environments such as Python, R, Databricks, and React.
 </li>
 <li>
 Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration.
 </li>
 <li>
 Design, develop, and deploy AI models in real-world client and business environments.
 </li>
 <li>
 Monitor and research emerging AI trends, fostering an agile, forward-looking development environment.
 </li>
 <li>
 Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making.
 </li>
 <li>
 Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders.
 </li>
 <li>
 Work with cross-functional teams&mdash;data engineers, architects, and data scientists&mdash;to deliver efficient, high-quality solutions aligned with client needs.
 </li>
 <li>
 Support business development efforts, including the technical sales cycles and the client proposal process.
 </li>
 <li>
 Support the development of internal GenAI assets and foundational capabilities to grow the firm&rsquo;s practice.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Minimum Educational Qualifications:
 
 
 
 A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field.
 
 
 
 Credentials - Good To Have
 
 
 
 A master's degree or PhD in a related field from a premium institute is preferred but is not required.
 
 
 Min years of Experience Requirement (Credential) - 3-4 years
</div>

Assurance - Risk Modeling Services- AI Data Scientist- Senior Associate

Aditi India

<div>
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Develop automation and scripts for data analysis and deep insights
 
 
 </li>
 <li>
 
 
 Build high scale end to end data processing and analysis pipelines using modern cloud architecture.
 
 
 </li>
 <li>
 
 
 Build automated reports and insights on data using high end Azure Synapse, SQL and Power BI technologies.
 
 
 </li>
 <li>
 
 
 Present data analysis to Leadership team.
 
 
 </li>
 <li>
 
 
 Develop web portals using Web technologies (C#, ASP.NET).
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 Years of Experience:
 
 
 
 <ul>
 <li>
 
 
 3-5 years of experience
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 #AditiIndia
 
 #25-23262
 
 
 
</div>

Data Analyst

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Data Scientist

Data Scientist

Data Scientist - GO/JC/1384/2025

Hyderabad - Data Scientist - Assistant Manager

Data Scientist-Artificial Intelligence

Assurance - Risk Modeling Services- AI Data Scientist- Senior Associate

Data Analyst