1490 Data Scientist jobs in Bengaluru

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
As a Medicare Risk Adjustment Data Scientist, you'll play a crucial role in supporting the development and enhancement of new AI/ML applications related to Medicare risk adjustment as well as supporting existing data science applications which includes consolidating both technical and analytical skills
This position is for OI Clinical Solutions - Decision intelligence team and upon selection, you will be part of dynamic team working on developing and delivering Best in-class Analytics for end users. Your work will focus on understanding CMS Medicare Advantage business and developing best in-class AI/ML for OI Clinical Solutions - Decision Intelligence team according to Business/Technical requirements. Here are the key responsibilities, qualities and experience we will look for in an ideal candidate:
**Primary Responsibilities:**
+ Interaction with key stakeholders and serve as data science contact/resource to support ongoing data exchange, analysis, reporting and interpretation of performance results; establish and maintain effective ongoing client relationships
+ Developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership
+ Apply advanced Artificial Intelligence & Machine Learning (AI/ML) capabilities to businesses to develop cutting edge innovative solutions
+ Leverage UHG's big data analytics infrastructure comprising Python, HIVE, SPARK, Cloud to tackle previously unsolved problems across various lines of business within the company
+ Open to adopt new tools, technologies, and methodologies to ensure that the team stays at the frontier of Analytics
+ Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
+ Use a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's or master's degree from a renowned institute in: Engineering/Statistics/Economics/Computer Science/ Mathematics (with a solid quantitative background)
+ Around 2+ years of experience in Data Science, AI/ML, or a similar role
+ Solid theoretical and practical knowledge of some or most Machine learning techniques like Random Forest,
+ Support Vector Machine, Gradient Boosting Machine, XGBoost etc.
+ Expert level programming ability in Python/PySpark
+ Proven excellent consulting skills, including the ability to engage with and present to senior leaders as well as stakeholders with minimum to high analytics exposure across various departments in an organization
+ Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
+ Solid theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc.
+ Demonstrated hands on experience in using algorithm libraries / frameworks like PyTorch and / or TensorFlow
+ Good theoretical and practical knowledge around LLMs and Generative AI
+ Demonstrated hands on experience in solving real-world problems using Natural Language Processing (Text Classification, Sentiment Analysis, Summarization, NER etc.)
+ Tech Skills/Experience:
+ 2+ years of solid work experience with python, spark and HIVE and solid experience in developing AI/ML at scale using Python, Spark and HIVE
+ 2+ years of solid work experience in AI and ML algorithms
+ Solid theoretical and practical knowledge of some Deep Learning techniques
+ Good theoretical and practical knowledge around LLMs and Generative AI
+ Ability to convert Business requirements into technical requirements and ability to develop Best in class data science solutions
**Preferred Qualifications:**
+ Domain Experience:
+ Understanding of Medicare risk adjustment programs
+ Understanding of CMS datasets such as MMR/MOR/EDPS etc002E
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
**Overview:** We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 10 years of experience in Data Science and Machine Learning. The ideal candidate should have expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) is essential to quickly understand requirements and develop solutions. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable.
**Responsibilities:**
+ Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives.
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Required Technical and Professional Experience:**
+ Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture.
+ Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions.
+ Graduate/Postgraduate in computer science, computer engineering, or equivalent with 10-12 years of experience in the IT industry.
+ Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals.
+ Minimum 5-6 years of hands-on experience in a Data Scientist role or similar role.
+ Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques.
+ Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI).
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions.
+ Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom).
+ Completed 2-3 projects in the domain of expertise.
+ Strong knowledge of Python, C/C++.
+ Data mining, visualization, and machine learning skills.
+ Fluent in English (written and spoken).
+ Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields.
**Preferred Technical and Professional Experience**
+ Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform)
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
**Key Responsibilities:**
+ **Problem Framing:**  Collaborating with stakeholders to understand business problems and translate them into data-driven questions.
+ **Data Collection and Cleaning:**  Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis.
+ **Model Development:**  Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships.
+ **Statistical Analysis:**  Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty.
+ **Feature Engineering:**  Creating new variables or transforming existing ones to improve model performance and provide deeper insights.
+ **Model Deployment:**  Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights.
+ **Communication and Storytelling:**  Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives.
+ **Monitoring and Maintenance:**  Tracking model performance in production and updating models as data patterns evolve or new data becomes available.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Technical and Professional Expertise
+ 4 - 5 years of experience as an Data Scientist.
+ Experience in Generative AI and Agentic AI.
+ Programming Languages: Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch).
+ Machine Learning: Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them.
+ Database Querying: Proficiency in SQL for extracting and manipulating data from relational databases.
+ Data Visualization: Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau.
Preferred Technical and Professional Experience
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

It's not just about your career or job title. It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.
It's not just about your career or job title. It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.
**Who are we?**
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website ( to learn more!
**Company Description:** Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company's website at: Overview:** We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds.
**Responsibilities:**
+ Develop machine vision system with Python/C++.
+ Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems.
+ Optimize algorithms for real-time performance and high-speed processing.
+ Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products.
+ Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing.
+ Implement advanced AI annotation and active learning pipelines
**Requirements:**
+ Master's or Bachelor's degree in Computer Science or related field.
+ 2+ years of work experience with experience in image processing, computer vision, and deep learning.
+ Proficiency in MATLAB and strong skills in Python and/or C++ programming languages.
+ Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc.
+ Good understanding of deep learning techniques and algorithms.
+ Experience with point cloud is good to have
+ Knowledge on MLOps and DevOps would be good to have.
+ Knowledge on any cloud platform - GCP/Azure/AWS would be preferred.
+ Excellent problem-solving skills and ability to work independently as well as in a team environment.
+ Strong communication skills with the ability to articulate technical concepts effectively.
**Personal Attributes:**
+ Strong oral and written communication skills.
+ Strong interpersonal and influencing skills.
+ Effective team building and problem-solving abilities.
+ Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.
**Our Commitment to Embrace Diversity:**
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles. People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.
**Who are we?**
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Commitment to Embrace Diversity:**
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles. People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.
Joining the Huron team means you'll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.
Join our team as the expert you are now and create your future.
A highly motivated and detail-oriented Associate - Data Scientist with a strong foundation in statistics, machine learning, classification, regression, clustering, recommendation, anomaly detection, Natural Language Processing (NLP) and healthcare data analytics. This role requires hands-on experience in building and deploying predictive models, conducting clustering and segmentation analysis, applying Market Basket Analysis (MBA) for root cause pattern discovery, and utilizing supervised and unsupervised ML techniques to uncover insights from complex datasets. Coordinate with the stakeholders to develop data-driven solutions that address challenges in denials, collections, write-offs, and payment forecasting.
Job Title: Data Scientist
Practice: Healthcare
Level: Associate
Location: Bangalore
Key Responsibilities:
- Analyze large-scale healthcare claims and transaction data (charges, payments, denials, write-offs, etc.)
- Develop and implement predictive models, such as XGBoost, Random Forest, or Logistic Regression, for denial prediction, transaction classification, and payment forecasting
- Apply unsupervised learning techniques (e.g., clustering, MBA) to detect denial root causes, payer patterns, and operational inefficiencies.
- Identify trends and anomalies to support root cause analysis in denials and underpayments
- Build and validate machine learning models likw classification, forecasting, clustering for Denial prediction and pattern recognition, Cash collection forecasting and Write-off root cause analysis
- Use tools such as Python (scikit-learn, XGBoost, pandas), SQL, and AWS services like SageMaker, Athena
- Translate business problems into machine learning problems and deliver solutions with clear, measurable outcomes.
- Collaborate with business stakeholders to define use cases and translate them into analytical models and interactive insights
- Work with large datasets from AWS Redshift, S3, Oracle, SageMaker, Excel, and other sources to preprocess and prepare training datasets
- Provide statistical analysis and model validation to ensure accuracy and reliability on unseen RCM data
- Automate and replace manual Excel-based reports with AI-powered analytics and decision support tools
- Collaborate with data visualization teams to integrate model outputs into business-friendly dashboards using AWS QuickSight or Power BI
- Assist in integrating models into production environments and monitoring performance
- Work closely with domain experts, operations leaders, and client teams to translate business questions into analytical solutions
- Participate in brainstorming sessions for new use cases and innovations
Required Qualifications & Skills:
- 5+ Yrs of experience in analytics and Data science
- Proficient in Python and SQL for data transformation and model building
- Hands-on experience with supervised and unsupervised ML techniques, including clustering, classification, and association rule mining
- Exposure to statistics, hypothesis testing, and model performance evaluation techniques (e.g., ROC-AUC, precision/recall, F1)
- Experience with AWS tools such as SageMaker, Redshift, Athena, S3; familiarity with Snowflake is a plus
- Preferred knowledge on Revenue Cycle Management
- Exposure to Python, SQL and data querying for extracting insights and Excel formulae
- Good communication skills and ability to work with business teams.
- Eagerness to learn cloud-based data tools (AWS, S3, Redshift, Snowflake, etc.)
**Position Level**
Associate
**Country**
India
At Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work.together.
Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron.
Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.
Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.
Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.

Continental Industries is part to Continental AG. Headquartered in Hannover, Germany, the division contributes to Euro 6B+ to Continentals Euro 40B+ turnover.
ContiTech Business Hub in Bangalore in a key location for ContiTech hosting various functional teams
ONE ContiTech - The first choice for material driven solutions.
Are you interested in shaping the future of ContiTech together with a great team?
Please join us and contribute to our goals with your new role as Expert for Data Science.
**Your tasks**
As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio.
**You**
+ Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners.
+ **Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact** .
+ Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions.
+ Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities.
+ Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results.
+ Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis.
+ Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling.
+ Establish and maintain partnerships with internal and external partners.
+ Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness.
+ Ensure data quality and integrity through rigorous validation and testing procedures.
**Your Qualifications **
+ University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields.
+ Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning.
+ Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP).
+ Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.)
+ More than 5 years of dedicated experience in various data science-related roles in the industry.
+ Excellent communication and leadership skills.
+ Critical thinking, organizational skills, and a problem-solving mindset.
+ Experience in a manufacturing industry is a plus.
+ Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity.
+ Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success.
+ Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.
+ **Proven ability to translate complex data into actionable insights for non-technical stakeholders.**
+ **Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.**
You
+ inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity
+ Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success
+ up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.
Ready to drive with Continental? Take the first step and fill in the online application.

Continental Industries is part to Continental AG. Headquartered in Hannover, Germany, the division contributes to Euro 6B+ to Continentals Euro 40B+ turnover.
ContiTech Business Hub in Bangalore in a key location for ContiTech hosting various functional teams
ONE ContiTech - The first choice for material driven solutions.
Are you interested in shaping the future of ContiTech together with a great team?
Please join us and contribute to our goals with your new role as Expert for Data Science.
**Your tasks**
As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio.
**You**
+ Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners.
+ **Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact** .
+ Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions.
+ Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities.
+ Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results.
+ Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis.
+ Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling.
+ Establish and maintain partnerships with internal and external partners.
+ Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness.
+ Ensure data quality and integrity through rigorous validation and testing procedures.
**Your Qualifications **
+ University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields.
+ Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning.
+ Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP).
+ Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.)
+ More than 5 years of dedicated experience in various data science-related roles in the industry.
+ Excellent communication and leadership skills.
+ Critical thinking, organizational skills, and a problem-solving mindset.
+ Experience in a manufacturing industry is a plus.
+ Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity.
+ Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success.
+ Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.
+ **Proven ability to translate complex data into actionable insights for non-technical stakeholders.**
+ **Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.**
You
+ inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity
+ Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success
+ up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.
Ready to drive with Continental? Take the first step and fill in the online application.

At Ennoventure, we are redefining the fight against counterfeit goods with our groundbreaking technology. Backed by key investors like Fenice Investment Group and Tanglin Venture Partners, we are ready to embark on the next phase of our journey.

Our aim? To build a world where authenticity reigns, ensuring every product and experience is genuine. Here, innovation moves fast, collaboration fuels success, and your growth isn’t just encouraged—it’s inevitable.

As a Data Scientist, you will lead research and development efforts in computer vision, design and implement state-of-the-art deep learning algorithms, and work closely with engineering and product teams to deploy scalable solutions in the production environment.

What will you do?

• Take full ownership of managing and delivering data science projects, from initial concept to deployment, ensuring alignment with business goals and timelines.
• Design, develop and optimize AI/ML models (e.g., object detection, segmentation, and synthetic data generation) using frameworks such as PyTorch and TensorFlow.
• Collaborate with ML Engineers to integrate models into production systems on cloud platforms (AWS, GCP, Azure)
• Build and maintain robust data pipelines, ensuring data quality and repeatability. Evaluate model performance using relevant performance metrics to achieve target performance.
• Analysing large datasets to extract insights, identify trends, and make data-driven decisions that support business strategies.
• Document research findings and present the project updates to cross-functional teams, to guide decision-making process.
• Staying updated with the latest advancements in computer vision and machine learning to continually enhance the effectiveness of algorithms and models.

What do we look for at Ennoventure?

• Ph.D. or Master’s degree in Computer Science , Data Science, Statistics, Mathematics, or a related field
• Minimum of 4+ years of hands-on work experience in computer vision and machine learning roles.
• Proven track record of implementing AI/ML algorithms and deploying them in a production environment.
• Experience in building and maintaining complex data pipelines for large datasets
• Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).
• Deep understanding of machine learning algorithms, data processing techniques, and statistical methods.
• Expertise in big data technologies and cloud platforms (e.g., AWS, Google Cloud).
• Excellent problem-solving abilities, strategic thinking, and attention to details.
• Demonstrate ability to collaborate effectively with cross-functional teams, including engineers and product managers.
• Strong written and verbal communication skills; ability to convey complex technical concepts clearly to non-technical stakeholders.

Good to have:

• Peer-reviewed publications in top-tier conference or journals
• Experience with real-time systems or edge-device deployments
• Familiarity with MLOps best practices (CI/CD, Jenkins, Docker)

What do we offer?

We believe that our people are the driving force behind our success, fueling big ambitions with bigger impact. We’re building more than just a workplace, we’re crafting a space where everyone feels seen, heard, and unstoppable. Here, you don’t just thrive, you grow, innovate, and leave a mark that matters.

That’s why we’re committed to equipping you with the best: a Total Rewards Policy that integrates-

• Pay: A Competitive Salary that reflects your talent and drive!
• Financial Reward: Performance-based Rewards that recognize your impact.
• Well-being: Comprehensive Health Insurance & Mental Health Programs to keep you at your best!
• Learning: An ongoing investment in you and your skills.
• Personalized Development: Self-growth plans crafted to match your performance and career aspirations.
• Compensation Reviews: Regular reviews to ensure your value aligns with market trends

At Ennovengers, as we call ourselves, we are a diverse group of extraordinary individuals united by a common goal. We work on exciting projects aimed at making the world a better place."