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consultant insights & analytics (data science) Jobs in Hyderabad

consultant insights & analytics (data science)

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data science engineer

sr data scientist

DAZN India

<div>
 
 Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?
 
 
 DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We&rsquo;re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products
 
 
 This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN&rsquo;s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.
 
 
 This role will be based in our brand-new Hyderabad office. Join us in India&rsquo;s beautiful &ldquo;City of Pearls&rdquo; and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners
 
 
 
 Job Title
 
 :
 
 Data Scientist
 
 
 
 
 Location: Hyderabad
 
 
 
 
 Work Mode: Work from Office.
 
 
 
 
 Seeking Immediate Joiners only
 
 .
 
 
 PHD candidates are preferred
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
 
 
 You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)
 
 
 &bull; Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
 
 
 &bull; Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.
 
 
 
 Required Skills:
 
 
 
 &bull; Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
 
 
 &bull; Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
 
 
 &bull; Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
 
 
 &bull; Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
 
 
 &bull; Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.
 
 
 
 Good to have Skills:
 
 
 
 &bull; Exposure to tools like Hugging Face Transformers for working with LLMs.
 
 
 &bull; Understanding of MLOps practices, including CI/CD pipelines for ML models.
 
 
 &bull; Experience with GPU-accelerated computing.
 
 
 &bull; Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
 
 
 &bull; Cloud Platforms: Familiarity with cloud services like AWS
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 
 
 &bull; 3 - 6+ years of professional experience in Machine Learning and Deep Learning.
 
 
 &bull; Proven track record of deploying ML/DL models in production environments.
 
</div>

Sr Data Scientist

Advance Auto Parts India (India Innovation Center)

<div>
 
 Job Description
 
 
 
 
 Pricing Scientist
 
 
 
 
 About Advance Auto Parts
 
 
 
 Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day.
 
 
 
 About Aap Global Capability Center
 
 
 
 We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The AAP Global Capability Center, located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration.
 
 
 
 About Pricing Team
 
 
 
 The Pricing team is growing its presence in India to help expand our technical, brand, and analytical capabilities across the enterprise. This is a fantastic opportunity to join a team of highly specialized and focused individuals dedicated to driving our brand marketing and eCommerce outcomes in a collaborative environment.
 
 
 Join the Pricing team and start reimagining the future of automotive retail. Disrupt the way consumers buy Auto Parts and join a fast-growing eCommerce team to take on the industry&rsquo;s biggest challenges.
 
 
 The focus here is on our customers -- how we make them happy, earn their trust, and create loyalty. We want to expand our best in class data science capability to predict consumer behavior and ensure we are getting the right return on our investments. Ultimately, the Pricing team is responsible for rapidly developing and deploying solutions that will drive the customer experience and, ultimately, enhance our bottom line as an organization.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Independently develop Analytics solutions / predictive model for pricing and promotions e.g. promotions forecasting, price elasticity models, customer segmentation, discount optimization.
 </li>
 <li>
 Perform statistical analysis for hypothesis testing e.g. A/B testing to predict the impact of pricing changes on test skus/regions.
 </li>
 <li>
 Collaborate with the pricing strategy and insights team to conceptualize and develop the prototype of analytics solutions and partner with Enterprise Data Engineering / Data science teams to scale up and deploy the solutions for enabling optimized pricing decisions
 </li>
 <li>
 Involve in discussions with stakeholders and gather requirements showcasing the analysis, interpretations &amp; findings and scale the solutions to next level
 </li>
 <li>
 Bring in the thought process and independently involve in designing the approach, test and build the algorithm framework, and implement models
 </li>
 <li>
 Forecasting of demand drivers using Structural Time Series and Na&iuml;ve Bayes approach and also by analyzing the impact of micro-economics factors on category/region performance
 </li>
 <li>
 Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information for promotional strategies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail/ecom analytics in similar industry and business function.
 </li>
 <li>
 Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must.
 </li>
 <li>
 Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques.
 </li>
 <li>
 Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions
 </li>
 <li>
 Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies
 </li>
 <li>
 Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders
 </li>
 <li>
 Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption
 </li>
 <li>
 Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc.
 
 
 </li>
 </ul>
 
 California Residents Click Below For Privacy Notice
 
 
 
 https://jobs.advanceautoparts.com/us/en/disclosures
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.
</div>

Pricing Scientist

US Pharmacopeia

<div>
 
 Description
 
 
 
 At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health.
 
 
 USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds&mdash;regardless of background&mdash;to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment.
 
 
 
 Brief Job Overview
 
 
 
 This is a professional, highly technical, non-supervisory position that supports the food ingredients program unit team (PUT) within USP&rsquo;s Global Science and Standards Division (GSSD). The incumbent reports to a local management position at the India site as well as functionally reporting to a management position in the Foods PUT in the US. The incumbent will support the development and technical stewardship of Food Chemicals Codex (FCC) standards, other scientific products, outreach and awareness (in India, US, and internationally), and internal strategic initiatives. These activities require the ability to identify and critically evaluate published information on chemical analysis of food ingredients, regulatory and safety reviews of foods, and data and supplier documents to support development of standards and guidance documents. The successful candidate may develop proposals, coordinate, and lead specific technical studies related to food analysis. The incumbent may present technical talks to academics, the food industry, and regulators to advocate for the work of the program, to solicit feedback, and to support program goals related to awareness and capacity building. The incumbent will work collaboratively with industry stakeholders, the Food Ingredients Expert Committee, the PUT, and other USP program units and departments.
 
 
 
 How will YOU create impact here at USP?
 
 
 
 
 The Sr. Scientist I/II Has The Following Responsibilities
 
 
 
 <ul>
 <li>
 Provide scientific expertise to USP&rsquo;s Foods PUT with a focus on identifying, developing, and supporting food standards and other fit-for-purpose solutions.
 </li>
 <li>
 Perform critical evaluation of technical data related to food quality and purity including working closely with internal and external laboratories on analytical method development, validation, and data analysis.
 </li>
 <li>
 Works with USP staff, the USP Food Ingredient Expert Committee (FI EC), subcommittees (SC), and Expert panels (EP), external stakeholders as related to Food Ingredient monograph and RS development.
 </li>
 <li>
 Supports in the preparation of data packages and briefing materials to present to the FI EC and other expert bodies; manages projects appropriately and ensures impeccable work-product delivery.
 </li>
 <li>
 Foster collaboration and communication with other USP program units and departments,
 </li>
 <li>
 Keep abreast of global trends and developments in related scientific fields and share learnings with managers and colleagues.
 </li>
 <li>
 Communicate effectively with stakeholders from industry, academia, scientific organizations, and regulatory agencies.
 </li>
 <li>
 Assist and guide Expert Committees and related expert bodies to support the development of FCC standards and other program products.
 </li>
 <li>
 Performs other related duties in support of the Foods Program Unit as assigned.
 
 
 </li>
 </ul>
 
 Who is USP Looking For?
 
 
 
 The Successful Candidate Will Have a Demonstrated Understanding Of Our Mission, Commitment To Excellence Through Inclusive And Equitable Behaviors And Practices, Ability To Quickly Build Credibility With Stakeholders, Along With The Following Competencies And Experience
 
 
 <ul>
 <li>
 Senior Scientist I: Ph.D. in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 7-10 years or MS in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 11-13 years, respectively, of relevant experience. An equivalent combination of experience and education may be substituted.
 </li>
 <li>
 Senior Scientist II: Ph.D. in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 10-13 years or MS in Food Science, Food Chemistry, Food Technology, Analytical Chemistry or allied field and 13-15 years, respectively, of relevant experience. An equivalent combination of experience and education may be substituted
 </li>
 <li>
 Candidates must have experience related to food safety, food quality, or analytical chemistry as well as outstanding written and verbal communication skills in English.
 </li>
 <li>
 Ability to review, analyze, and interpret and report on data from various analytical tests such as from HPLC, GC, LC/MS, GC/MS, IR, Raman, UV-Vis, NMR, ICP-MS, AA, etc.
 </li>
 <li>
 Experience in developing, validating, using, or evaluating food analytical methods
 </li>
 <li>
 Ability to communicate effectively and diplomatically with technical and non-technical stakeholders
 </li>
 <li>
 Experience in working directly in or with the food industry, such as experience with food quality systems, regulatory affairs, and supply chain management
 
 
 </li>
 </ul>
 
 Additional Desired Preferences
 
 
 
 <ul>
 <li>
 Ability to manage and prioritize multiple concurrent, complex projects with minimal direction and a history of successful timely project management
 </li>
 <li>
 Experience applying food regulations from local or international regulatory bodies, and collaborating with scientific standards organizations is a plus
 </li>
 <li>
 Ability to rapidly and expertly assess complex technical issues in a fast-paced environment
 </li>
 <li>
 Ability to embrace change. Adaptable, willing to learn, strong interpersonal and technical presentation skills; strong knowledge of MS Office and related products.
 </li>
 <li>
 Ability to operate independently where appropriate, yet understands when to escalate issues and how to establish effective working relationships
 </li>
 <li>
 Ability to work well with diverse employees and customers in a cooperative and friendly manner
 </li>
 <li>
 Able work flexible hours when needed
 
 
 </li>
 </ul>
 
 Supervisory Responsibilities
 
 
 
 None, this is an individual contributor role.
 
 
 
 Benefits
 
 
 
 USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected.
 
 
 
 Job Category
 
 Chemistry &amp; Scientific Standards
 
 
 
 Job Type
 
 Full-Time
</div>

Senior Scientist I /Senior Scientist II, Documentary Standards ( Foods)

Kresta Softech Private Limited

<div>
 
 
 Role Highlights:
 
 
 
 
 
 
 
 Position: Data Scientist
 
 
 
 
 Experience:
 
 5+ years
 
 
 
 Location:
 
 Hyderabad- Hybrid
 
 
 
 Notice Period:
 
 Immediate/7 days joiners mandate
 
 
 
 
 
 
 Job Overview:
 
 
 
 
 
 
 
 Must have skills- Python, Generative AI, RAG, LLM
 
 
 
 Good to have- Agentic AI and ML Ops
 
 
 
 
 
 Must have:
 
 
 
 IIT, IIM Qualification.
 
 
</div>

Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science Engineer

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

Amgen

<div>
 
 Join Amgen&rsquo;s Mission of Serving Patients
 
 
 
 At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.
 
 
 Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
 
 
 Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
 
 
 
 What You Will Do
 
 
 
 Let&rsquo;s do this! Let&rsquo;s change the world!
 
 
 Amgen is seeking a highly motivated Senior Principal Scientist for their Discovery Analytical Chemistry group in their state-of-the-art research and development facility in Genome Valley, India.
 
 
 The Principal Scientist will lead analytical strategy and execution for drug discovery-stage projects, enabling medicinal chemistry and early candidate selection through deep expertise in analytical and separation sciences. This role bridges synthetic and analytical chemistry, ensuring rapid, reliable characterization of novel compounds and intermediates that drive Amgen&rsquo;s small molecule discovery pipeline.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 The successful candidate will lead and manage the Synthetic Separations group, providing strategic direction, technical leadership, and mentorship to staff while prioritizing workloads, optimizing team performance, and serving as both a people manager and subject matter expert in synthetic separations
 </li>
 <li>
 Design and qualify automated workflows enabling rapid turnaround and consistent data quality for purification and analysis of diverse compound libraries.
 </li>
 <li>
 Utilization of a diverse set of instruments and technologies, such as (but not limited to) HPLC, SFC, MS, mass-directed purification, and preparative-scale SFC and LC is necessary.
 </li>
 <li>
 Lead library purification efforts across multiple scales, ranging from microgram-level purification of screening compounds to hundreds of milligrams for advanced characterization.
 </li>
 <li>
 The successful candidate is also expected to assist in research efforts directed at improving process efficiencies, expanding the range of assays and applications, building state-of-the-art analytical capabilities, and improving technologies and infrastructure.
 
 
 </li>
 </ul>
 
 What We Expect Of You
 
 
 
 We are all different, yet we all use our unique contributions to serve patients. The analytical professional we seek is an emerging Scientist with these qualifications.
 
 
 
 Basic Requirements:
 
 
 
 Ph.D. in Chemistry, Analytical Chemistry, or related field with 8+ years of relevant experience, or M.S. with 12+ years of relevant experience in analytical or discovery chemistry within the biopharmaceutical industry.
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 PhD in Analytical Chemistry or a related discipline with 8+ years of relevant industry experience in chromatographic analysis and/or purification of small molecules within a pharmaceutical R&amp;D environment.
 </li>
 <li>
 Minimum of 5 years in a leadership or people management role.
 </li>
 <li>
 Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, HRMS, and related techniques) for purity assessment, structural confirmation, quantitative analysis, and reaction monitoring of synthetic compounds.
 </li>
 <li>
 Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, etc.) for purity assessment, structural confirmation, and reaction monitoring of synthetic compounds.
 </li>
 <li>
 Design, qualify, and maintain high-throughput or automated analytical workflows to support medicinal chemistry cycles.
 </li>
 <li>
 Collaborate with cross-functionally digital and automation groups to enable data-driven analytics and AI-supported structure prediction.
 </li>
 <li>
 Drive continuous improvement in analytical workflows and laboratory efficiency through process automation and robotics.
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Prepare concise, high-quality reports and presentations for internal review and external disclosure.
 </li>
 <li>
 Represent Amgen in scientific collaborations, conferences, and publications related to analytical innovations in drug discovery.
 </li>
 <li>
 Proficiency in managing multiple priorities and driving results in a dynamic research environment.
 </li>
 </ul>
</div>

Principal Scientist – Synthetic Separations

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