167 Data Science Manager jobs in Hyderabad

ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role Description:
We are seeking an accomplished and visionary Data Scientist/ GenAI Lead to join Amgen's Enterprise Data Management team. As MDM Data Science/Manager, you will lead the design, development, and deployment of Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. **To succeed in this role, the candidate must have strong** **AI/ML,** **Data Science** **,** **GenAI** **experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have** **AI/ML,** **data science and** **GenAI** **experience on technologies like (** **PySpark** **/** **PyTorch** **, TensorFlow, LLM** **,** **Autogen** **, Hugging** **FaceVectorDB** **,** **Embeddings, RAGs** **etc** **), along with knowledge of MDM (Master Data Management)**
Roles & Responsibilities:
+ Drive development of enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face.
+ Architect intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments.
+ Implement embedding models andmanage VectorStores for retrieval-augmented generation (RAG) solutions.
+ Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems.
+ Utilize SQL and Python for data engineering, data wrangling, and pipeline automation.
+ Build scalable APIs and services to serve GenAI models in production.
+ Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems.
+ Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations.
Basic Qualifications and Experience:
+ Master's degree with 8 - 10 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR
+ Bachelor's degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR
+ Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains
Functional Skills:
**Must-Have Skills:**
+ 10+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions.
+ Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models.
+ Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn.
+ Proven track record of building and deploying AI/ML applications in cloud environments such as AWS.
+ Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks.
+ Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices.
+ Guide the team on development activities and lead the solution discussions
+ Must have core technical capabilities in GenAI, Data Science space
**Good-to-Have Skills:**
+ Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows.
+ Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations.
+ Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration.
+ Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications.
Professional Certifications:
+ Any ETL certification (e.g. Informatica)
+ Any Data Analysis certification (SQL)
+ Any cloud certification (AWS or AZURE)
+ Data Science and ML Certification
Soft Skills:
+ Strong analytical abilities to assess and improve master data processes and solutions.
+ Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
+ Effective problem-solving skills to address data-related issues and implement scalable solutions.
+ Ability to work effectively with global, virtual teams
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'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'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**CDnA - Data Science Manager**
**What you will do**
Let's do this. Let's change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need.
**Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week.**
**This position will be primarily responsible for:**
+ Working collaboratively with multi-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients
+ Identifying business needs and proposing potential analytics approaches for solutions
+ Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level
+ Leading measurement and tracking of various omnichannel CX enablement initiatives
+ Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies
+ Communicating analysis ideas, progress and results to leadership and business partners
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
+ Doctorate degree OR
+ Master's degree and 4 to 6 years of data science and/or analytics experience OR
+ Bachelor's degree and 6 to 8 years of data science and/or analytics experience OR
+ Diploma and 10 to 12 years of data science and/or analytics experience
**Preferred Qualifications:**
+ Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain
+ Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow
+ Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus
+ Ability to communicate analysis in a clear, detailed, and practical manner
+ Passion for learning and staying on top of current developments in sophisticated analytics
+ Biotech / Pharma experience
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:
+ Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
+ A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
+ Stock-based long-term incentives
+ Award-winning time-off plans and bi-annual company-wide shutdowns
+ Flexible work models, including remote work arrangements, where possible
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Let's do this. Let's change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need.
**Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week.**
This position will be primarily responsible for:
+ Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients
+ Identifying business needs and proposing potential analytics approaches for solutions
+ Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level
+ Leading measurement and tracking of various omnichannel CX enablement initiatives
+ Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies
+ Communicating analysis ideas, progress and results to leadership and business partners
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
+ Doctorate degree ORdata science and/or analytics experience
+ Master's degree and 4 to 6 years of data science and/or analytics experience OR
+ Bachelor's degree and 6 to 8 years of data science and/or analytics experience OR
+ Diploma and 10 to 12 years of data science and/or analytics experience
**Preferred Qualifications:**
+ Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain
+ Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow
+ Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus
+ Ability to communicate analysis in a clear, detailed, and practical manner
+ Passion for learning and staying on top of current developments in sophisticated analytics
+ Biotech / Pharma experience
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**

**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**Data Science Manager- Data Analytics Team, Hyderabad**
**About Warner Bros. Discovery:**
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
**For more information, please visit** ** **.**
**Meet our team:**
The Data Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and other products such as Films, Sports, News and overall WBD eco-system. Our mission is to foster unified Gen AI, Machine Learning, Advanced analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.
**Roles & Responsibilities:**
You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery's Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will:
+ Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
+ Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting.
+ Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability.
+ Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle.
+ Define and implement best practices for the team, setting high standards for technical quality and innovation.
+ Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations.
+ Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives.
+ Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models.
+ Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities.
+ Drive observability, scalability, cost-optimization, and performance tuning for data science models and services.
+ Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions.
+ Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale.
**Qualifications:**
+ 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team.
+ Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders).
+ Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark).
+ Proficiency in programming languages such as Python or R.
+ Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models.
+ Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.
+ Experience with offline experimentation and A/B testing.
+ Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.
+ Understanding of batch and streaming data processing techniques.
+ Experience of Databricks, AWS, GCP, or Azure.
+ Experience with Docker and Kubernetes.
+ Experience with CI/CD tools like GitHub Actions, Jenkins, etc.
+ Familiarity with agile practices and processes.
+ Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support.
+ BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus.
**Other Qualifications:**
+ Proven track record of leading cross-functional teams and delivering ambitious projects.
+ Passionate about technical excellence and innovation, with a hands-on approach to problem-solving.
+ Strong focus on customer needs and rapid feature iteration.
+ Strong interpersonal skills with the ability to motivate, collaborate, and influence.
+ Ability to deliver on multiple projects and meet tight deadlines.
+ Ability to effectively influence and communicate cross-functionally with all levels.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the bringing our characters to life, the bringing them to your living rooms and the creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Data Science Manager- Data Analytics Team, Hyderabad

About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

For more information, please visit .

Meet our team:

The Data Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and other products such as Films, Sports, News and overall WBD eco-system. Our mission is to foster unified Gen AI, Machine Learning, Advanced analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.

Roles & Responsibilities:  

You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery’s Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will:

Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.

Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting.

Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability.

Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle.

Define and implement best practices for the team, setting high standards for technical quality and innovation.

Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations.

Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives.

Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models.

Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities.

Drive observability, scalability, cost-optimization, and performance tuning for data science models and services.

Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions.

Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale.

Qualifications:

12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team.

Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders).

Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark).

Proficiency in programming languages such as Python or R.

Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models.

Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.

Experience with offline experimentation and A/B testing.

Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.

Understanding of batch and streaming data processing techniques.

Experience of Databricks, AWS, GCP, or Azure.

Experience with Docker and Kubernetes.

Experience with CI/CD tools like GitHub Actions, Jenkins, etc.

Familiarity with agile practices and processes.

Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support.

BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus.

Other Qualifications:

Proven track record of leading cross-functional teams and delivering ambitious projects.

Passionate about technical excellence and innovation, with a hands-on approach to problem-solving.

Strong focus on customer needs and rapid feature iteration.

Strong interpersonal skills with the ability to motivate, collaborate, and influence.

Ability to deliver on multiple projects and meet tight deadlines.

Ability to effectively influence and communicate cross-functionally with all levels.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

JOB DETAILS

We are urgently looking for a Data Science Manager to head our growing data science team. You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collection process for our consumers, lead automation initiatives in the company, and help create insights to better understand our product and performance.

We’re looking for a driven, hands-on data science manager to lead, mentor, and manage contributors on the team. You should have an excellent grasp of core machine learning techniques and a product-focused mindset, as well as a track record of growing and empowering data scientists to drive business value through modeling and experimentation.

Key Responsibilities:
o Build and lead the data science team to deliver world-class products.
o Oversee the development of data science models from conducting code reviews to supporting launches while keeping the team accountable and impactful.
o Give data scientists the tools and motivation to build predictive models that lead to business impact.
o Apply data and algorithmic thinking to address business and domain problems.
o Work cross-functionally with other engineering teams and Product Management to solve problems, identify trends and opportunities.
o Lead the technical strategy of the data science team.
o Roll up your sleeves to code, build, and integrate models as necessary.

You have:
o Previous experience as manager of data scientists and machine learning engineers
o Hands-on experience with machine learning tools, techniques, and framework
o Experience with building and productizing models, and iterating and improving them over time
o Experience with advising leadership on decisions related to your field and expertise
o Ability and desire to educate the rest of the company in data science concepts and techniques
o Advanced degree in statistics, applied mathematics, computer science or equivalent
o Strong quantitative and analytical skills as well as experience strong foundational skills in Python, pandas, and SQL

Ideally, you also have:
o Solid understanding of experiment design
o Experience with natural language processing techniques
o FinTech background

Benefits, Perks, and Culture
o Everything you need to work remotely
o Work with talented and motivated people in a fast-paced mission-driven environment

FUNCTIONAL AREA
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Job Description

Location : Hyderabad

Role Highlights:

As a Manager - Data Science , you wont just manage, you'll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. You'll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board!

What You'll Tackle Each Day:

Delivery & Project Management:

• Develop and implement ML models, Gen AI solutions, and predictive analytics .
• Perform data mining, feature engineering, and statistical analysis .
• Own project roadmaps, quality control, and timely delivery .
• Collaborate with Data Engineering teams to deploy and operationalize ML models .
• Automate and optimize workflows for efficiency.

Practice Development:

• Contribute to scaling Blends Data Science practice by building new capabilities.
• Design industry-specific AI/ML solutions and contribute to thought leadership.
• Evaluate emerging AI trends and tools and integrate them into our ecosystem.
• Lead innovation initiatives , research, and internal AI development.

People & Leadership:

• Mentor and develop a high-performance data science team .
• Guide career development and set performance benchmarks.
• Collaborate with cross-functional teams to drive seamless execution.

Qualifications

• 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL .
• Exposure to Generative AI — Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities
• Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).
• Experience in end-to-end ML deployment , including working with either Azure or AWS or GCP or Databricks .
• Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce .
• Deep expertise in statistics, probability, stochastic processes, and causal inference .
• Strong communicator who can explain AI concepts to non-technical stakeholders .
• Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines .
• Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics .
• Bachelors/Master’s degree in Computer Science, Statistics, Math, Operations Research, or a related field .

What do you get in return?

• Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
• Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
• Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
• Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
• Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Apply Now!