
Capabilities & Insights Analyst
at Top Managment Consulting Firm
Company Profile:
The company is World's No1 Global management consulting firm.
Job Qualifications
Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
2-5 years of relevant experience
Adept in forecasting, regression analysis and segmentation work
Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
Excellent time management skills
Good written and verbal communication skills; understanding of both written and spoken English
Strong interpersonal skills
Ability to act autonomously, bringing structure and organization to work
Creative and action-oriented mindset
Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
Ability to work under pressure and deliver on tight deadlines

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Job Summary: Lead/Senior ML Data Engineer (Cloud-Native, Healthcare AI)
Experience Required: 8+ Years
Work Mode: Remote
We are seeking a highly autonomous and experienced Lead/Senior ML Data Engineer to drive the critical data foundation for our AI analytics and Generative AI platforms. This is a specialized hybrid position, focusing on designing, building, and optimizing scalable data pipelines (ETL/ELT) that transform complex, messy clinical and healthcare data into high-quality, production-ready feature stores for Machine Learning and NLP models.
The successful candidate will own technical work streams end-to-end, ensuring data quality, governance, and low-latency delivery in a cloud-native environment.
Key Responsibilities & Focus Areas:
- ML Data Pipeline Ownership (70-80% Focus): Design and implement high-performance, scalable ETL/ELT pipelines using PySpark and a Lakehouse architecture (such as Databricks) to ingest, clean, and transform large-scale healthcare datasets.
- AI Data Preparation: Specialize in Feature Engineering and data preparation for complex ML workloads, including transforming unstructured clinical data (e.g., medical notes) for Generative AI and NLP model training.
- Cloud Architecture & Orchestration: Deploy, manage, and optimize data workflows using Airflow in a production AWS environment.
- Data Governance & Compliance: Mandatorily implement pipelines with robust data masking, pseudonymization, and security controls to ensure continuous adherence to HIPAA and other relevant health data privacy regulations.
- Technical Leadership: Lead and define technical requirements from ambiguous business problems, acting as a key contributor to the data architecture strategy for the core AI platform.
Non-Negotiable Requirements (The "Must-Haves"):
- 5+ years of progressive experience as a Data Engineer, with a clear focus on ML/AI support.
- Deep expertise in PySpark/Python for distributed data processing.
- Mandatory proficiency with Lakehouse platforms (e.g., Databricks) in an AWS production environment.
- Proven experience handling complex clinical/healthcare data (EHR, Claims), including unstructured text.
- Hands-on experience with HIPAA/GDPR compliance in data pipeline design.
Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.
Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.
As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital.
Key Responsibilities:
- Collect data from various sources, including databases, APIs, and web scraping tools.
- Clean and process raw data to ensure it is accurate and consistent.
- Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.
- Communicate insights in a clear and concise manner with the manager alongside your progress.
- Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client.
Qualifications:
- Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace.
- Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.
- Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content.
- Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively.
- Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics
- Financial Reporting and Analysis:Prepare and analyze monthly, quarterly, and annual financial statements, including income statements, balance sheets, and cash flow statements.
- Develop and maintain financial models to forecast future performance and analyze variances.
- Conduct variance analysis to explain deviations from budgets and forecasts.
- Create and present financial reports to management, highlighting key trends and insights.
- Budgeting and Forecasting:Assist in the development and monitoring of annual budgets and forecasts.
- Collaborate with department managers to gather budget input and ensure accuracy.
- Track and analyze actual performance against budgets and forecasts.
- Provide recommendations for cost control and revenue enhancement.
Responsibilities:
- Design and develop clean, high-performing, responsive and multilingual user experiences for our eCommerce sites using alpinejs and tailwind
- Working closely with project managers to address client requests
- Managing multiple projects simultaneously, and be able to address their specific needs and requirements quickly
- Proactively identify and address engineering challenges to enhance the overall quality and performance of our web applications.
Skills:
- Excellent communication skills with the ability to understand business requirements and effectively translate them into technical requirements.
- Ability to write algorithms in Javascript
- Strong knowledge of web technologies and concepts, including HTML, CSS, Tailwind CSS, components architecture, performance optimization techniques, and tools like Lighthouse.
- Proficiency in core JavaScript concepts and familiarity with jQuery.
- Knowledge of modern frameworks such as AlpineJS providing an added advantage.
- Familiarity with working with RESTful APIs.
- Understanding of B2C user experience metrics using industry-standard analytics tools.
- Knowledge of php and Magento would be an advantage.
- Understanding of web UIs, demonstrated through a portfolio
About the role
Media Planning Executives are responsible for analyzing data, thinking creatively and dreaming up innovative strategies to make sure marketing campaigns reach the right target audience in the most effective way possible. Armed with this critical analysis, media planning executives devise, propose, or recommend strategies for using certain media effectively to attract and retain customers, increase brand recognition, and maintain customer satisfaction and loyalty.
Some of the things we’d like you to do:
● Creation of tactical plan presentation and supporting media plan templates
● Creation of campaign analysis plan
● Oversee the successful launch of campaigns
● Maintain accuracy and timely updates of deliverable tracking documents for team
● Collate commentary on media performance and conduct first review on quality
● Adherence to team quality standard for reporting template and delivery
● Keep consistent track of campaign performance and target (monthly) across all channels, flagging needs for intervention
● Use understanding of campaign and marketplace to contribute ideas for campaign experiments and also prioritize experiments
● Manage accurate forecasts, media plans, and all key media planning documentation
A bit about yourself:
● At least 2-3 years of experience in Tradional media advertising
● Working knowledge and effective vocabulary across Offline & Online
● Experience with Media Research Tools (Comscore, GWI, TGI)
● Strong organizational skills with a keen ability to prioritize and multitask.
● Proven problem solving skills and ability to think outside of the box
● Ability to work independently and collaborate in a team environment
● Detail oriented and responsive, deadline-driven with strong reasoning skills
What you can expect from Essence
Essence’s mission is to make advertising more valuable to the world. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Essence employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, or marital status.
Node.js Developer Requirements:
1. Bachelor's degree in computer science, information science, or similar.
2. At least two years' experience as a Node.js developer.
3. Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
4. Knowledge of front-end technologies such as HTML5 and CSS3.
5. Superb interpersonal, communication, and collaboration skills.
6. Exceptional analytical and problem-solving aptitude.
7. Great organizational and time management skills.
8. Availability to resolve urgent web application issues outside of business hours.
● Overall at least 1 year building software for iOS devices
● Experience with iOS SDK, Objective-C, Swift and Xcode IDE
● Experience with JSON, XML, JavaScript and interfacing iPhone/iPad applications to server-side API's
● Comfortable developing rich GUI's for the iPhone and/or iPad
● Solid grasp of object-oriented concepts and MVC programming techniques
Responsibilities
● Work on multiple simultaneous projects
● Divide projects into module with timelines
● Hands on coding, systems analysis, design and delivery of projects assigned.
● Coordinating project performance with business and clients.
● Completes assigned projects in a timely manner.
● Meets project objectives, providing systems that operate in a cost-effective manner.
● Keeps management informed of project progress and problems, particularly as to needed changes in schedule, resources, or product.
● Escalates and refers all projects beyond scope of authority.
● Consults with and advises development areas on applications in area of responsibility.
● Responds to problems in a timely, effective manner.
Bonus Points
● Experience with Android/Java
● Cross Platform Application development
About the role:
As a product engineer I/II, you will be responsible for continuous improvement of Cashfree experience for all our customers and end- users. You will dream big but identify and take small steps towards achieving that goal. You will receive great feedbacks at every step of the development cycle from your peers to our customers and end- users.
You may be working on architecting the money disbursement flow or creating most- friendly interface for consumer payment. All our engineers identify as generalist and building products that are useful and delightful are core to our engineering culture.
You're more than a coder. You wil be part of entire product process, from conceptualizing till post- launch evaluation. You should have deep empathy for the users to minimize the gap between what we build and what they need. Have sound judgement to balance between code writing speed and it's maintainability. Knowledge of variety of server- side/ frontend frameworks is desirable but not compulsory








