1,342 Statistical Analysis jobs in India

Senior Biostatistician

A key role for a seasoned professional with expertise in biostatistics and clinical trials.

• We are seeking an experienced Senior Biostatistician to join our team, who will lead the statistical analysis of clinical trials.
• As a senior member of our team, you will be responsible for developing statistical methods sections of protocols and reviewing case report forms (CRFs).
• You will also prepare analysis plans and write specifications for analysis files, tables, and figures.

• Maste's degree in Biostatistics or related field with 7+ years of relevant experience required.
• Strong experience in clinical trials and SAS programming skills.
• Proven ability to independently lead studies and strong pharma or CRO experience is mandatory.

• The successful candidate will have the opportunity to work on complex projects and develop their skills further.
• They will also have the chance to mentor junior staff and contribute to the growth and development of the team.

• If you are a motivated and experienced biostatistician looking for a new challenge, we encourage you to apply.
• Please note that only applications from eligible candidates will be considered.

Job Description:

Data Analyst  with expertise in analyzing MEMS (Micro-Electro-Mechanical Systems) sensor time-series data . The ideal candidate will have strong statistical analysis skills, experience with key performance indicator (KPI) computation, and the ability to extract meaningful insights from large datasets.

Key Responsibilities:

• Process, analyze, and interpret time-series data  from MEMS sensors (e.g., accelerometers, gyroscopes, pressure sensors).
• Develop and apply statistical methods  to identify trends, anomalies, and performance metrics.
• Compute and optimize KPIs  related to sensor performance, reliability, and drift analysis.
• Use appropriate MATLAB toolboxes (like Data cleaner, GT labeler) or Python modules  for data validation, data annotation and anomaly detection.
• Clean, preprocess, and visualize large datasets to uncover patterns and insights.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and product owners .
• Convert data into the required data schema to upload it into the data pipelines  for simulation and algorithm development.
• Document methodologies, findings, and recommendations in clear technical reports.

Required Qualifications:

• Strong proficiency in Python or MATLAB  for data analysis and visualization.
• Experience with time-series analysis , signal processing, and statistical modeling (Autocorrelation, Moving Averages, Seasonal Decomposition) to identify trends and patterns.

• Knowledge of MEMS sensor technologies  and data acquisition systems.

• Hands-on experience with pandas, NumPy, SciPy, scikit-learn, matplotlib  for data cleansing and analysis.
• Ability to generate automated KPI reports  and build dashboards using Power BI or Tableau

Preferred Qualifications:

• Experience in smartphone, hearable, or wearable sensors
• Knowledge of MEMS sensor data wrangling techniques.
• Knowledge in handling data over cloud platforms (AWS, Azure, GCP) is an added advantage.
• Familiarity in real-time data streaming processing toolboxes  is an added advantage.

Bachelor or Master’s degree in Electronics/Electrical/Computer Science/Data science, Statistics engineering.

5+

Inside Sales Manager Responsibilities:
Managing organizational sales by managing or carving a sales plan that covers sales goals, revenue and expense controls.
Meeting or exceeding planned sales goals.
Setting individual sales targets with the sales team & tracking them and reporting results as necessary.
Overseeing the activities and performance of the sales team.
Coordinating with cross functional teams on lead generation. Identifying market gaps and taking appropriate action on the same.
Developing your sales team through continuous training, motivation, counseling and product knowledge education & hiring of new sales associates, if necessary.
Promoting the organization and products.
Understand our ideal customers and how they relate to our products.
Assess marketing potential of new and existing market locations, considering statistics and expenditures.
Keeping up to date with Industry Trends
Strive to continuously improve your sales process and demonstrate a willingness to learn and implement best practices
Supplement your pipeline by completing lead generating activities including cold calls, emails, and social touches, if required
Establishes and adjusts selling prices by monitoring costs, competition, and supply and demand.

Inside Sales Manager Requirements:
Minimum 3 to 5 years of relevant experience in selling BPO services and IT sales.
Bachelor’s degree in business or related field.
Experience in planning and implementing sales strategies.
Experience in customer relationship management.
Experience managing and directing an inside sales team.
Excellent written, verbal communication and analytical skills are highly required.
Dedication to providing great customer service.
Selling experience of Financial Research Services, Gap Analysis Services, Market Research Services, Data Analysis Services, Pharmaceutical Research Services, Scientific Research, Scientific Data Mining Services, Market Research Report, Market Trends Report & Business Analytics

About Market Intelligence - A Research Analyst Role

Want to be at the forefront of market intelligence and financial insights? Join us as a research analyst where you'll have the opportunity to connect the dots between global trends, economic shifts, and policy moves.

Key Responsibilities:

• Bring a solid understanding of financial products across banking, asset/wealth management, capital markets, economics, and policy.

• Get hands-on with leading financial data sources and research tools, learning how to spot the signals that matter in a world full of noise.

• Review and, if needed, conduct secondary research on emerging trends in the financial services industry (with a focus on asset/wealth management, capital markets, economics, and policy).

• Synthesize and summarize key findings on global trends for our market insights.

• Support periodic research outputs and contribute to competitive intelligence and factsheets as required.

• Proactively share knowledge and industry updates with the team.

• Jump in on ad hoc projects and special assignments—every week could bring something new.

Requirements:

• Background in finance, consulting, capital markets law, economics, policy or a master's/pre-MBA program. Minimum 2 years of experience in finance (including internships)

• Curious about financial markets, policy, and global events.

• Comfortable working in a fast-paced environment where priorities can shift and every day brings something new.

• Clear, confident written communication—comfortable analyzing complex institutional-grade content

We're open to interns with relevant finance experience as well.

What You Need to Do:

1. Your resume
2. The finance news sources you read PLEASE BE SPECIFIC
3. A quick write-up (under 200 words) picking one global market event from the past week, why should consumers care about it and how does it affect them?

Dear Connection!

find the below mention JD for the skill

Job Description

1Role - Senior Product Engineer (Designer)

2Required Technical Skill Set - Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

3Desired Experience Range - 8-10 Years Hands On Experience in Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

4Location of Requirement - India - Bhubaneswar

Competencies Required (Technical/Behavioral Competency)

Essentials

• Data Science AI/ML ,
• Java
• Python
• Generative AI
• Computer vision
• NLP

Desirable

• Exposure to Product Development

Sl. No.

Responsibility of / Expectations from the Role

1 Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions

2 Design Generative AI, LLMs, and deep learning technologies

Type

Details of The Role (For Candidate Briefing)

Reporting To Which Role

Product Engineering Lead

Size of the Team, if any Reporting to this Role

5

On-site Opportunity

N/A

Career Path & Unique Selling Proposition (USP) of The Role

• Develop as a Product Architect
• Hands On exposure to global customers in next generational digital transformation
• Work with a global team of industry experts and thought leaders

Details of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.

The Digital Software and Solutions Group in TCS is partnering with customers in leading Digital Transformation initiatives across the domains of Customer Intelligence, Digital Commerce and Intelligent Infrastructure (IoT) . The group is focused on bringing industry focused pre-integrated software that brings together the disruptive technologies of Big Data Analytics, Mobility, Social and Cloud in order to accelerate Digital Transformation Initiatives in order to increase organizational efficiencies and more importantly how companies will be engaging with their customers.

This role is for Product Engineering team within the DS&S unit.

About the company:

Making Trade Happen

Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Ideal Candidate Profile:

• Must have a background in Computer Science
• Hands-on experience in Machine Learning and Natural Language Processing (NLP)
• Strong Python development skills , with a focus on writing high-quality, maintainable code.
• Familiar with code reviews and continuous integration (CI) best practices.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Exposure to cloud-based applications and deployment workflows.
• Proficient in SQL and NoSQL databases , including document and graph-based systems.
• Comfortable working in Linux environments and using Git for version control.
• Demonstrates autonomy , curiosity , and rigor in problem-solving and development.

Mission:

• You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
• You design and fully develop solutions that can implement AI technologies.
• You contribute to technology watch

The Job description:

• The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
• The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
• Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

About role:

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

• Score the risk of corporate failure in every country
• Extract information from images, documents and web scrapping
• Build knowledge graphs from corporates linkages
• Specialize search engine and language models in identifying companies
• Generate visual and textual explanations for AI model predictions

Key Qualifications & Experience:

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
• Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
• Experience of Docker/Kubernetes deployment and cloud applications desirable
• Use of Linux and Git
• Practice of SQL and experience with NoSQL databases (document, graph)
• Autonomy, curiosity, rigor

What can we offer you?

• Flexible working model: up to 3days of home office per week after the 1st month
• Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
• Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field

Diversity, Equity & Inclusion :

Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.

As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.