397 Numpy jobs in Bangalore

Join us as a Data Science & Business Intelligence Platform Lead

• Were looking for someone who can influence and have organisational skills to lead us toagreed targets
• Are you ready to take on a role where your influence and organizational skills can truly shine? Join our dynamic Data Technology Platforms team within Data & Analytics and lead us to achieve our ambitious targets.
• Youll be delivering, owning and maintaining the platforms operational stability and performance technology
• We're offering this role at director level

What you'll do

In this exciting role, you'll own the remediation of technical issues and drive the simplification and improvement of our platform architecture and technology. You'll build the platform roadmap, collaborating with centres of excellence to ensure you have the right resources. Your expertise will optimize business solutions for our customers' needs and align with our overall technology strategy. On top of this, you'll . Youll be able to really make this role your own, allowing excellent exposure for you and your work.

Youll also be:

• Taking ownership of the financial, commercial and flow performance of the platform
• Managing the platform risk culture, making sure that teams effectively collaborate to mitigate risk
• Delivering the regulatory reporting and managing the relevant budgets provided
• Leading strategic initiatives, manage high-performing teams, and deliver scalable AI solutions in a regulated financial environment

The skills you'll need

In this role, youll need to have in-depth domain or platform product knowledge and experience. You should have at least 18 years of experience with considerable AI skills, including experience with machine learning, natural language processing, and AI-driven analytics and teams.

Youll also be expected to have:

• Knowledge and experience with AWS, Azure, and Google Cloud Provider
• Proven experience with GenAI (LLMs, prompt engineering)
• Business intelligence knowledge and experience of working in banking/financial insititution
• Strong AWS cloud and ML infrastructure skills
• Strong leadership skills, including Agile and servant leadership experience
• Architecture, design, and engineering skills relevant to the specific platform
• Experience working and running high-performance, large-scale Agile and non-Agile programs, projects, and teams

Data Science + Gen AI with below mandatory skills.

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud

Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token

Management, Knowledge Graph, Vision

Exp Range - 4 to 6 years

Major Duties & Responsibilities

•  Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business

questions

•  Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment

and operationalization of projects

•  Influence machine learning strategy for Digital programs and projects

•  Make solution recommendations that appropriately balance speed to market and analytical soundness

•  Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor

•  Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,

TensorFlow)

•  Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Create algorithms to extract information from large, multiparametric data sets.

•  Deploy algorithms to production to identify actionable insights from large databases.

•  Compare results from various methodologies and recommend optimal techniques.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Develop and embed automated processes for predictive model validation, deployment, and implementation

•  Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science

•  Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate

reusability, and reliability upon deployment

•  Lead discussions at peer review and use interpersonal skills to positively influence decision making

•  Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make

impactful contributions to internal discussions on emerging practices

•  Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

•  Bachelor of Science or Bachelor of Engineering at a minimum.

•  4-6 years of work experience as a Data Scientist

•  A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to

quickly cycle hypothesis through the discovery phase of a project

•  Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,

Hadoop/Hive, Scala)

•  Good hands-on skills in both feature engineering and hyperparameter optimization

•  Experience producing high-quality code, tests, documentation

•  Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,

Synapse, Databricks

•  Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine

learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

•  Proficiency in statistical concepts and ML algorithms

•  Good knowledge of Agile principles and process

•  Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team

•  Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and

results

•  Self-motivated and a proactive problem solver who can work independently and in teams

Work with one of the Big 4's in India

Tableau, SQL database, and Python (All are Mandatory)

EX :
5+ years

CTC –
Max 25 LPA

Location :
Bangalore

NP :
0 to 30 days

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.

Bengaluru, the city, which is India's epicenter of Innovation, has been selected to be home to Takeda's recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda's ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

The Opportunity

As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process.

Objectives/Purpose: Emphasize the design, development, and deployment of AI/Gen AI models in production environments, along with a strong focus on data engineering and end-to-end architectural understanding.

Accountabilities:

• Data Engineering: Design and implement robust data pipelines and ETL processes to support AI/Gen AI model development and deployment.
• AI/Gen AI Model Deployment: Lead the deployment of AI/Gen AI models in production environments, ensuring scalability, reliability, and maintainability.
• End-to-End Architecture: Develop and maintain comprehensive architectural documentation, ensuring alignment with enterprise architecture principles.
• Compliance and Standards: Ensure all solutions comply with architectural, security, and privacy standards.
• Collaboration: Work closely with data scientists, data engineers, and other stakeholders to deliver high-quality AI solutions.
• Continuous Improvement: Establish and institutionalize regular reviews for solution adoption and continuous improvement.
• Continuously improve model performance by analyzing and refining model architectures and processes.
• Familiarity with containerization tools (e.g., Docker, Kubernetes) for deploying models.
• Experience with model monitoring and performance tracking in production environments.

Education, Behavioral Competencies, and Skills

• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or related fields.
• Experience: 5+ years of experience in data engineering, AI/Gen AI model deployment, and end-to-end architectural design.
• Technical Skills: Proficiency in SQL, Databricks, Python, R, and cloud platforms (e.g., AWS, Azure, GCP). Experience with MLOps tools and frameworks.
• Architectural Skills: Strong understanding of data architecture, data warehousing, and data governance.
• Soft Skills: Excellent communication and leadership skills, with the ability to mentor and guide development teams.

Additional Sections

• AI/Gen AI Focus: Highlight specific experience with AI/Gen AI technologies and frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Data Engineering Focus: Emphasize experience with data engineering tools and technologies (e.g., Apache Spark, Kafka, Airflow).
• Production Environment: Detail experience in deploying and managing AI models in production environments, including monitoring and optimization.

WHAT TAKEDA CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
• At Takeda, you take the lead on building and shaping your own career.
• Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

BENEFITS:

It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Health & Wellness programs including annual health screening, weekly health sessions for employees.
• Employee Assistance Program
• 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
• Broad Variety of learning platforms
• Diversity, Equity, and Inclusion Programs
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

ABOUT ICC IN TAKEDA:

• Takeda is leading a digital revolution. We're not just transforming our company; we're improving the lives of millions of patients who rely on our medicines every day.
• As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

IND - Bengaluru

Employee

Regular

Full time

Company Description

FACE Prep is one of India's largest placement-focused skill development companies, specializing in job preparation for the tech sector. Since its inception in 2008, FACE Prep has helped millions of students kickstart their careers. The company offers a variety of programs, including masterclasses, self-paced courses, and workshops to help students acquire the skills needed for top-paying jobs in tech. FACE Prep's alumni work at leading tech companies like Google, Microsoft, Meta, Adobe, PayPal, and many more.

Role Description

This is a full-time, on-site role for an AI & ML Mentor (Faculty) located in Bengaluru. The AI & ML Mentor will be responsible for delivering quality education through workshops, bootcamps, and mentoring sessions. Day-to-day tasks include preparing instructional materials, guiding students through complex AI and ML concepts, and providing individual mentorship. The role involves staying updated with the latest advancements in AI and ML to ensure the curriculum remains current and effective.

Qualifications

• In-depth knowledge and expertise in Artificial Intelligence (AI) and Machine Learning (ML)
• Experience in developing and delivering instructional content, including workshops and bootcamps
• Proficiency in Python and related libraries such as TensorFlow, PyTorch, and scikit-learn
• Excellent communication and presentation skills
• Ability to mentor and guide students at different stages of learning
• Experience in the education sector or similar role is a plus
• Bachelor's or Master's degree in Computer Science, Data Science, or related field

Job Role- Data Scientist (Sr. Consultant)

At Deloitte, we do not offer you just a job, but a career in the highly sought-after Risk Management field. We are the business leader in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Our clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security.

By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk- centric solutions across a variety of risk domains. In the process, you will gain exposure to the risk-centric challenges faced in today's world by organizations across a range of industry sectors and become subject matter experts in those areas and develop into a well-rounded professional who not only has the depth in few risk domains, but also has width of exposure to wide variety of risk domains.

So, if you are someone who believes in disrupting through innovation and execution of ideas, Deloitte Risk and Financial Advisory is the place to be

Work you'll do

The key job responsibilities will be to:

• Develop database schemas, tables and dictionaries
• Develop, implement and optimize stored procedures, functions and indexes
• Ensure the data quality and integrity in databases
• Create complex functions, scripts, stored procedures and triggers to support application development
• Fix any issues related to database performance and ensuring stability, reliability and security
• Design, create, and implement database systems based on the end user's requirements
• Prepare documentations for database applications
• Memory management for database systems
• Develop best practices for database design and development activities

The Team

Our Financial Technology practice develops and licenses a growing family of proprietary software products (see ) to assist financial institutions with a number of complex topics, such as accounting for credit deteriorated assets and the administration of investments in leveraged loans.

We are looking to add dedicated software engineers to our team. In addition to competitive compensation and benefits, we provide excellent opportunities for growth and learning and invest in our talent development.

Qualifications

Required:

• • Bachelor's degree in computer science or related field
• At least 5 to 7 years of experience as a SQL developer, with strong understanding of Microsoft SQL Server database
• Strong experience with Python coding and libraries (Pandas, NumPy, PySpark etc.)
• Hands-on experience with machine learning algorithms and frameworks
• Understanding and implementation of AI and generative AI solutions
• Proficiency in data visualization & data analytics
• Knowledge of best practices when dealing with relational databases
• Capable of troubleshooting common database issues
• Familiar with tools that can aid with profiling server resource usage and optimizing it
• Knowledge in performance optimization techniques
• Excellent verbal and written communication

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.

Benefits to help you thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Requisition code:

is on a mission to become India's #1 and largest online expo and community for movie lovers. We are building an integrated platform that combines a comprehensive movie database (like IMDb) with a dynamic social community, creating the ultimate destination for fans to discover, discuss, and celebrate cinema. Our vision is to empower millions of users, connect them with creators, and build a powerful promotional launchpad for the film industry.

We are an early-stage startup in our foundational phase, and we are looking for passionate and driven interns to join our core team and help us build the data engine that will power our entire platform.

The Opportunity

This is not a typical internship. You will be joining us at the ground level and will play a crucial role in building the most comprehensive movie database in the country. You will work directly with our senior development team to collect, scrape, and structure the data that is the lifeblood of This role is perfect for a self-starter who is eager to learn and wants to make a tangible impact on a product from day one.

What You Will Do:

• Data Collection:
  Systematically gather information about movies, actors, directors, and more from various online sources.
• Data Scraping:
  Assist in developing and running scripts to automate the collection of large volumes of data.
• Database Management:
  Learn to populate and manage our core databases (MySQL/MongoDB), ensuring data integrity and accuracy.
• Data Structuring:
  Use tools like Microsoft Excel and Google Sheets to clean, organize, and prepare data for database entry.
• Collaborate & Learn:
  Work alongside a senior developer who will mentor you, while also having the opportunity for self-driven learning on the job.

What We Are Looking For:

• Currently pursuing or a recent graduate in Computer Science, Information Technology, Data Science, or a related field.
• A strong analytical mindset and excellent problem-solving skills.
• Proficient in Microsoft Excel or Google Sheets for data organization.
• Basic understanding of database concepts (familiarity with MySQL or MongoDB is a huge plus).
• A genuine passion for movies and the entertainment industry.
• Most importantly, a strong willingness to learn, adapt, and take initiative.

What We Offer:

• Hands-On Experience:
  Get real-world experience in data scraping, database management, and backend processes in a fast-paced startup environment.
• Mentorship:
  Receive direct guidance and mentorship from our senior development team.
• Certificate of Completion:
  Receive an official internship certificate recognizing your contribution and skills learned.
• Stipend:
  A monthly stipend of
  ₹2,000 - ₹5,000
  .

Details:

• Role:
  Data Science & Backend Intern
• Location:
  Jayanagar, Bengaluru (In-Office)
• Duration:
  3 to 6 months
• Start Date:
  Immediate

If you are excited about building something massive from scratch and love the world of movies, we want to hear from you

Industry:

Industrial Applications.
Experience:

7–8 Years

About the Role

We are seeking an experienced
Data Scientist

with strong expertise in statistical analysis, machine learning, and predictive analytics. The ideal candidate should have hands-on experience in applying advanced methodologies and supervised learning techniques to solve real-world business problems in the industrial domain.

Key Responsibilities

• Develop, implement, and optimize machine learning models for industrial applications.
• Apply statistical analysis, predictive modeling, and supervised learning methods to drive insights.
• Work with advanced algorithms, including 
  XGBoost, Ridge, Elastic Net
  , Neural Networks, and Causal Inference models

.
- Collaborate with cross-functional teams to translate business challenges into data-driven solutions.
- Conduct model performance evaluation, tuning, and optimization.
- Leverage AI and ML techniques to support decision-making and business growth.

Required Skills & Expertise

• Strong knowledge of
  statistical analysis and predictive analytics

.
- Hands-on experience with
machine learning algorithms and supervised learning methods

.
- Expertise in
XGBoost, Ridge, ElasticNet, Neural Networks, Causal Inference, and Optimization

.
- Proficiency in programming languages such as
Python/R

and frameworks for ML/AI.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 7–8 years of relevant industry experience in AI/ML-driven applications
• User & Permission Management:

Manage user access, permissions, and security roles on Tableau Server. Collaborate with data/business

About The Organization: Giant in IT. CTC: 25 LPA

Email   

Linkedin-

Data Science + Gen AI with below mandatory skills.

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud

Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token

Management, Knowledge Graph, Vision

Exp Range - 10 to 12 years

Major Duties & Responsibilities

•  Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business

questions

•  Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment

and operationalization of projects

•  Influence machine learning strategy for Digital programs and projects

•  Make solution recommendations that appropriately balance speed to market and analytical soundness

•  Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor

•  Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,

TensorFlow)

•  Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Create algorithms to extract information from large, multiparametric data sets.

•  Deploy algorithms to production to identify actionable insights from large databases.

•  Compare results from various methodologies and recommend optimal techniques.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Develop and embed automated processes for predictive model validation, deployment, and implementation

•  Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science

•  Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate

reusability, and reliability upon deployment

•  Lead discussions at peer review and use interpersonal skills to positively influence decision making

•  Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make

impactful contributions to internal discussions on emerging practices

•  Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

•  Bachelor of Science or Bachelor of Engineering at a minimum.

• years of work experience as a Data Scientist

•  A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to

quickly cycle hypothesis through the discovery phase of a project

•  Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,

Hadoop/Hive, Scala)

•  Good hands-on skills in both feature engineering and hyperparameter optimization

•  Experience producing high-quality code, tests, documentation

•  Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,

Synapse, Databricks

•  Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine

learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

•  Proficiency in statistical concepts and ML algorithms

•  Good knowledge of Agile principles and process

•  Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team

•  Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and

results

•  Self-motivated and a proactive problem solver who can work independently and in teams

Work with one of the Big 4's in India