data scientist

consultant insights & analytics (data science) Jobs in Hyderabad

consultant insights & analytics (data science)

data analyst

data engineer

data science engineer

senior 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

Dew Software

<div>
 
 
 Position: Data Scientist
 
 
 
 
 Duration: Full-time
 
 
 
 
 Location: Hyderabad (Onsite)
 
 
 
 
 
 
 
 Job Description:
 
 
 
 OOPs in python (Object Oriented programming concepts)
 
 
 - - Data structures /List comprehensions in Python
 
 
 - - NumPy/Pandas/Scikit basics
 
 
 - - Statistics Essentials
 
 
 - - Exploratory Data Analysis
 
 
 - - ML / DL basics, applications, differences
 
 
 Strong proficiency in Python (OOPs concepts, DSA for problem solving) and hands on SQL experience
 
 
 - - Experience with statistical analysis, data wrangling, and feature engineering on large datasets
 
 
 - - Hands-on experience building and deploying machine learning and deep learning models using frameworks like scikit-learn, TensorFlow, or PyTorch
 
 
 DSA means data structure and algorithms
 
 
 
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, or related field.
 
 
 &bull; Proficiency in Python and popular libraries (e.g., NumPy, Pandas, Scikit-learn).
 
 
 &bull; Strong understanding of statistical analysis and machine learning algorithms.
 
 
 &bull; Strong SQL skills a plus.
 
 
 &bull; Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
 
 
 &bull; Excellent problem-solving skills and ability to work independently.
 
 
 
</div>

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

NStarX

<div>
 As a Data Scientist at NStarX, you will play a key role in analysing large datasets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify trends, build data-driven strategies, and contribute to the continuous improvement of our data processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, process, and analyse large datasets to identify trends, patterns, and insights that inform business strategies.
 </li>
 <li>
 Develop and deploy predictive models using statistical, machine learning, and deep learning techniques.
 </li>
 <li>
 Work closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.
 </li>
 <li>
 Build and maintain data pipelines to ensure data quality and accessibility for analysis.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover key insights and guide decision-making.
 </li>
 <li>
 Present findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
 </li>
 <li>
 Collaborate with data engineers and software developers to integrate analytical solutions into production systems.
 </li>
 <li>
 Stay current with the latest developments in data science and machine learning and apply new techniques as appropriate.
 </li>
 <li>
 Contribute to the development and implementation of best practices for data analysis, modelling, and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 At least 3 years of professional experience in data science or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Strong knowledge of statistical analysis, machine learning algorithms, and data visualisation tools.
 </li>
 <li>
 Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Familiarity with data visualisation tools such as Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Experience with SQL and NoSQL databases for data extraction and manipulation.
 </li>
 <li>
 Understanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently and in a team.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.
 </li>
 <li>
 Detail-oriented with a focus on delivering high-quality, accurate work.
 </li>
 <li>
 Experience with big data technologies such as Hadoop, Spark, or Kafka.
 </li>
 <li>
 Knowledge of deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Experience with A/B testing and experimental design.
 </li>
 <li>
 Familiarity with version control systems such as Git.
 
 
 </li>
 </ul>
 This job was posted by Younus Shaik from NStarX.
</div>

Tide

<div>
 
 About Tide
 
 
 
 At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
 
 
 Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.
 
 
 
 Tide Facts
 
 
 
 <ul>
 <li>
 Tide is available for UK, Indian, German and French SMEs
 </li>
 <li>
 Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
 </li>
 <li>
 Over $200 million raised in funding
 </li>
 <li>
 Over 2500 Tideans globally - we&rsquo;re diversity champions!
 </li>
 <li>
 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a ML Engineer you&rsquo;ll be:
 
 
 <ul>
 <li>
 Working closely with product owners, other backend (Java &amp; Python) engineers, data scientist and other business members to translate requirements into well-engineered solutions
 </li>
 <li>
 Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services. You build it, you own it mentality.
 </li>
 <li>
 Integrate already trained ML models in some of the services you develop.
 </li>
 <li>
 Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members.
 </li>
 <li>
 Regularly aligning your team&rsquo;s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 You have 4+ years of experience as a Backend Python Engineer (Senior/Lead)
 </li>
 <li>
 You have understanding of software engineering fundamentals (OOP, SOLID, etc.)
 </li>
 <li>
 You have hands-on experience with frameworks such as Django, FastAPI or Flask
 </li>
 <li>
 You have extensive experience integrating with or creating REST APIs
 </li>
 <li>
 You have experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
 </li>
 <li>
 You have experience with event-driven architectures
 </li>
 <li>
 You have experience with AWS
 </li>
 <li>
 (Great to have) Experience with Databricks, ML feature store solutions, Kafka (or other message brokers)
 
 
 </li>
 </ul>
 OUR TECH STACK
 
 (You don&rsquo;t have to excel in all, but willing to learn them):
 
 
 
 <ul>
 <li>
 Databricks on AWS
 </li>
 <li>
 Python Flask
 </li>
 <li>
 Snowflake
 </li>
 <li>
 Tecton - feature store
 </li>
 <li>
 Fiddler - model observability platform
 
 
 </li>
 </ul>
 
 What You Will Get In Return
 
 
 
 <ul>
 <li>
 Self &amp; Family Health Insurance
 </li>
 <li>
 Term &amp; Life Insurance
 </li>
 <li>
 OPD Benefits
 </li>
 <li>
 Mental wellbeing through Plumm
 </li>
 <li>
 Learning &amp; Development Budget
 </li>
 <li>
 WFH Setup allowance
 </li>
 <li>
 15 days of Privilege leaves
 </li>
 <li>
 12 days of Casual leaves
 </li>
 <li>
 12 days of Sick leaves
 </li>
 <li>
 3 paid days off for volunteering or L&amp;D activities
 </li>
 <li>
 Stock Options
 
 
 </li>
 </ul>
 
 Tidean Ways Of Working
 
 
 
 At Tide, we champion a
 
 flexible workplace
 
 model that supports both in-person and remote work to cater to the specific needs of our different teams.
 
 
 While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
 
 
 TIDE IS A PLACE FOR EVERYONE
 
 
 At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members&rsquo; diverse needs and lives.
 
 
 We are One Team and foster a transparent and inclusive environment, where everyone&rsquo;s voice is heard.
 
 
 
 At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone&rsquo;s voice is heard.
 
 
 
 
 Disclaimer
 
 
 
 It Has Come To Our Attention That Individuals Or Agencies Are Falsely Claiming To Represent Tide And Are Reaching Out To Candidates Regarding Job Opportunities. Please Be Aware That
 
 
 <ul>
 <li>
 Tide does not charge any fees at any stage of the recruitment process.
 </li>
 <li>
 All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
 </li>
 <li>
 Communication from Tide will only come from an official @tide.co email address.
 </li>
 <li>
 Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
 
 
 </li>
 </ul>
 
 If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
 
 
 Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
 
 
 
 
 
 Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
 
 
 
 
 
 
 Your personal data will be processed by Tide for recruitment purposes and in accordance with
 
 
 Tide's Recruitment Privacy Notice
 
 
 .
 
 
 
 
</div>

Senior Engineer, Python (Data & AI)

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)

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

Explore 181+ Senior data scientist in Hyderabad this December. Find roles across top companies and apply now to boost your career.

181 senior data scientist jobs IN Hyderabad

Data Scientist

Data Scientist

Data Science Engineer

Data Scientist

Senior Engineer, Python (Data & AI)

Data Scientist (Commercial)

Lead Data Scientist-Gen AI