analytical scientist

consultant insights & analytics (data science) Jobs in Hyderabad

consultant insights & analytics (data science)

data analytics analyst [t500-21705] Jobs in Hyderabad

data analytics analyst [t500-21705]

data engineer

data engineer – python Jobs in Hyderabad

data engineer – python

data scientist

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

Amgen

<div>
 
 HOW MIGHT YOU DEFY IMAGINATION?
 
 
 
 If you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. At Amgen, our shared mission&mdash;to serve patients&mdash;drives all that we do. It is key to our becoming one of the world&rsquo;s leading biotechnology companies. We are global collaborators who achieve together&mdash;researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It&rsquo;s time for a career you can be proud of.
 
 
 
 Live | What you will do
 
 
 
 <ul>
 <li>
 Support the execution of analytics and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams.
 </li>
 <li>
 Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy.
 </li>
 <li>
 Help maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments.
 </li>
 <li>
 Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries.
 </li>
 <li>
 Support documentation, version control, and deployment practices using standardized platforms and tools.
 </li>
 <li>
 Stay curious &mdash; continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, and causal inference.
 
 
 </li>
 </ul>
 
 Thrive | What you can expect
 
 
 
 As we work to develop treatments that take care of others, we also work to care for our teammates&rsquo; professional and personal growth and well-being.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Data Science, Engineering, Statistics, or a related quantitative field.
 </li>
 <li>
 3&ndash;5 years of experience in analytics, modeling, or data science delivery.
 </li>
 <li>
 Working knowledge of Python and SQL; comfort working in Databricks or similar environments.
 </li>
 <li>
 Experience with data visualization and performance metric tracking.
 </li>
 <li>
 Strong attention to detail and a focus on delivering high-quality, reproducible work.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to marketing mix modeling, predictive modeling, or experiment-based analytics.
 </li>
 <li>
 Interest in life sciences, healthcare, or pharma analytics environments.
 </li>
 <li>
 Familiarity with tools such as MLflow, Git, or Jupyter notebooks.
 </li>
 <li>
 Demonstrated ability to collaborate with analysts, engineers, or business partners to get things done.
 </li>
 </ul>
</div>

Data Scientist (Commercial)

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

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

Chryselys

<div>
 
 We&rsquo;re Hiring: Consultant &ndash; Insights &amp; Analytics at Chryselys
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Department:
 
 Insights &amp; Analytics
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Reports To:
 
 Manager
 
 
 
 About Us
 
 
 
 
 Chryselys
 
 is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
 
 
 We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
 
 
 
 Who We Are
 
 
 
 
 People -
 
 Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
 
 
 
 Quality -
 
 Our goal is to deliver the value of a big five consulting company without the big five cost.
 
 
 
 Technology
 
 - Our solutions are Business centric built on cloud native technologies.
 
 
 
 Role Overview
 
 
 
 As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.
 </li>
 <li>
 Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.
 </li>
 <li>
 Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).
 </li>
 <li>
 Collaborate with cross-functional teams to translate business problems into data science solutions.
 </li>
 <li>
 Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.
 </li>
 <li>
 Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.
 </li>
 <li>
 Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.
 </li>
 <li>
 Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.
 </li>
 <li>
 Experience: 5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
 </li>
 <li>
 Skills:
 </li>
 <li>
 Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.
 </li>
 <li>
 Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.
 </li>
 <li>
 Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
 </li>
 <li>
 Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.
 </li>
 <li>
 Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
 </li>
 <li>
 A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
 
 
 Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.
 
 
 
 Equal Employment Opportunity
 
 
 
 Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 Connect With Us
 
 
 
 Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/
 
 
 
 Discover more about our team and culture:
 
 www.chryselys.com
</div>

Consultant Insights & Analytics (Data Science)

Tredence Inc.

<div>
 
 
 About the Company
 
 
 
 
 
 
 Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and South East Asia.
 
 
 We are seeking an experienced data scientist who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data&rsquo;s full potential.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 <ol>
 <li>
 Strong in Agile, architecture reviews, CI/CD, and DevOps processes.
 </li>
 <li>
 9 to 14 yrs years of experience leading software delivery teams across Java, React, and GenAI domains.
 </li>
 </ol>
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Proven experience in project execution
 </li>
 <li>
 Stakeholder communication
 </li>
 <li>
 People management
 </li>
 <li>
 Ability to guide teams technically while driving delivery excellence and process efficiency
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 PMP/CSM certification preferred
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Experience in Java
 </li>
 <li>
 Experience in React
 </li>
 <li>
 Experience in GenAI domains
 </li>
 <li>
 Strong Agile skills
 </li>
 <li>
 Architecture reviews
 </li>
 <li>
 CI/CD processes
 </li>
 <li>
 DevOps processes
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 <ul>
 <li>
 PMP certification
 </li>
 <li>
 CSM certification
 </li>
 </ul>
 
 
 
 
 Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees. Visit our website for more details: https://www.tredence.com/
 
 
 
</div>

Engineering Manager – JAVA

Procter & Gamble

<div>
 
 Job Location
 
 
 
 HYDERABAD OFFICE APAC
 
 
 
 Job Description
 
 
 
 Procter &amp; Gamble is one of the largest FMCG (Fast Moving Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few. For more information about P&amp;G the company and our brands please visit www.pg.com and our career website at pgcareers.com
 
 
 
 Are
 
 
 you
 
 
 ready
 
 
 to
 
 
 unleash
 
 
 your
 
 
 technical
 
 
 creativity?
 
 
 
 Innovation is the driving effort behind everything we do at P&amp;G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centers and distribution facilities.
 
 
 
 Overview Of The Job
 
 
 
 This role reports to IT Director and will be located in India with the broader Data Engineering Team.
 
 
 
 Your team
 
 
 
 
 About The Data Solutions &amp; Engineering Team
 
 
 
 We take pride in managing the most-valuable asset of company in Digital World, called Data. Our vision is to deliver Data as a competitive advantage for our Business, by building unified data platforms, delivering customized BI tools for managers &amp; empowering insightful business decisions through AI in Data.
 
 
 In this role, you'll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.
 
 
 So, if you're excited about the possibilities of data, and eager to make a real impact in the world of business, a career in data solutions might be just what you're looking for. Join us and become a part of the future of digital transformation.
 
 
 
 About P&amp;G IT
 
 
 
 Digital is at the core of P&amp;G&rsquo;s accelerated growth strategy. With this vision, IT in P&amp;G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification &amp; Innovation. IT in P&amp;G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value &amp; growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences &amp; Analytics, Data Solutions &amp; Engineering, Product Supply.
 
 
 
 Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Understand the business requirements and convert into technical design of data pipelines and data models
 </li>
 <li>
 Write code to ingest, transform and harmonize raw data into usable refined models
 </li>
 <li>
 Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation
 </li>
 <li>
 Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.
 </li>
 <li>
 Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.
 </li>
 <li>
 Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.
 </li>
 <li>
 Demonstrate standard coding practices to ensure delivery excellence and reusability
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don&rsquo;t just offer a job; we offer a career with varying assignments and lots of development opportunities
 </li>
 <li>
 An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments.
 </li>
 <li>
 Travel opportunities to the project locations to see your design come to life
 </li>
 <li>
 Continuous coaching&ndash; you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager
 </li>
 <li>
 Dynamic and respectful international work environment&ndash; employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.
 </li>
 <li>
 A competitive compensation package, in line with your qualifications and experience
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 
 Role Requirements
 
 
 
 <ul>
 <li>
 At least 3 years of experience in Data Engineering
 </li>
 <li>
 Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.
 </li>
 <li>
 Hands-on experience in scripting language like Python, R or Scala
 </li>
 <li>
 Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud
 </li>
 <li>
 Hands-on experience of reporting tools like Power BI or Tableau
 </li>
 <li>
 Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)
 </li>
 <li>
 Knowledge in cloud technologies (Azure Cloud) &ndash; at least 2 years inclusive of software engineering experience.
 </li>
 <li>
 Cloud Native application development using Angular and .Net.
 </li>
 <li>
 Knowledge in Agile or Scrum methodologies with proven track record of successful projects
 </li>
 <li>
 Graduate of Engineering or IT related course
 
 
 </li>
 </ul>
 
 Just So You Know
 
 
 
 We are an equal opportunity employer and value diversity at our company. Our mission of Diversity and Inclusion is: &ldquo;Everyone valued. Everyone included. Everyone performing at their peak&rdquo;.
 
 
 
 
 At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 
 
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000137874
 
 
 
 Job Segmentation
 
 
 
 Experienced Professionals
</div>

Data Engineer

Explore 105+ Data scientist in Hyderabad this December. Find roles across top companies and apply now to boost your career.