EBS/Fusion Techno-Functional (HCM)

HR Business Partner

Location: Bangalore / Pondicherry

South india candidates can apply

Department: Human Resources – Business HR

Mandatory experience working in Pharma / Active pharma Indegrent segment only

About The Role

We are seeking an experienced and dynamic Site HR Business Partner (HRBP) to drive the people agenda at our manufacturing site in Bangalore. This role will act as a strategic partner to business leaders, ensuring a compliant, capable, and engaged workforce that supports safe, efficient, and sustainable API manufacturing operations.

The ideal candidate will bring strong industrial relations expertise, deep understanding of pharma/API operations, and the ability to influence leadership while being hands-on at the shop-floor level.

Key Responsibilities

Strategic Business Partnering

Talent & Performance Management

Industrial Relations & Compliance

Culture & Employee Engagement

Stakeholder Management

About the job

The ideal candidate is a creative team player, talented wordsmith, and grammar sleuth. You will be responsible

for developing marketing and communications content that will separate us from the crowd. Someone who will

craft the written language that brings a brand's vision to life.

Responsibilities

• Bring an ability to understand brand briefs, tonality and communication structure of the brand.

• This includes creating compelling messaging for various touchpoints, from website copy and social

media posts to advertising materials and internal communications.

• Build trust, foster emotional connections, and drive conversions by effectively communicating the

brand's message.

• Be an important part of Windowseat’s collaborative culture and work with cross functional teams.

• Collaborate with graphic designers to ensure that the written content and visual design work together

harmoniously.

• Crafting compelling and engaging posts for social media platforms, maintaining brand consistency and

promoting engagement.

• Developing memorable and impactful taglines and slogans that capture the essence of the brand.

• Present ideas to clients clearly and effectively.

• Obsessed with grammar and proofreading.

• Stay abreast with the current industry trends.

Qualifications

• Should have 2-6 years of experience working as a copywriter with Branding And/or advertising agency

• A Bachelor's degree in fields such as Journalism, Communications, English, Marketing, or a related

discipline is the minimum requirement.

• Excellent written and verbal communication skills

• Knowledge of written and verbal skills in a regional languages will be an advantage.

• Additional skills like SEO knowledge and familiarity with digital marketing tools are also advantageous.

About Hudson Data

At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.

Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.

Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.

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About the Role

We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.

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Key Responsibilities

1.⁠ ⁠Data Collection & Management

• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.

• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.

• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.

• Collaborate with engineering teams to define data governance, lineage, and security standards.

2.⁠ ⁠Data Cleaning & Preprocessing

• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.

• Handle missing data, duplicates, and outliers while ensuring consistency and quality.

• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.

3.⁠ ⁠Data Analysis & Insights

• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.

• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.

• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.

• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.

4.⁠ ⁠Predictive Modeling & Machine Learning

• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.

• Perform feature engineering, model tuning, and cross-validation for performance optimization.

• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.

• Continuously monitor, evaluate, and retrain models to ensure business relevance.

5.⁠ ⁠Reporting & Visualization

• Develop interactive dashboards and automated reports for performance tracking.

• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.

• Communicate insights effectively through clear data storytelling.

6.⁠ ⁠Collaboration & Communication

• Partner with business, engineering, and product teams to define analytical goals and success metrics.

• Translate complex data and model results into actionable insights for decision-makers.

• Advocate for data-driven culture and support data literacy across teams.

7.⁠ ⁠Continuous Improvement & Innovation

• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.

• Identify opportunities for process optimization, automation, and innovation.

• Contribute to internal R&D and AI product development initiatives.

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Required Skills & Qualifications

Technical Skills

• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).

• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.

• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.

• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).

• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).

• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.

Soft Skills

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication and presentation skills, including data storytelling.

• Curiosity and creativity in exploring and interpreting data.

• Collaborative mindset, capable of working in cross-functional and fast-paced environments.

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Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

• Relevant certifications are highly valued:

• Google Cloud Professional Data Engineer

• AWS Certified Data Analytics – Specialty

• Microsoft Certified: Azure Data Scientist Associate

• TensorFlow Developer Certificate

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Why Join Hudson Data

At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

About the company

Adia makes clinicians better diagnosticians.

Adia is set to revolutionize the diagnostic process for both doctors and patients. Leveraging our extensive knowledge and experience in medicine, coupled with advanced technology and AI, we aim to improve diagnostic accuracy while also reducing and optimizing costs. This leads to more satisfied patients, efficient doctors, and less financial burden for all involved. 

Adia enables advanced clinical decision support (CDS) and guides lab test selection and result interpretation by using patient’s data and clinical context. On top of that Adia changes how healthcare providers get paid by combining predictive and guiding diagnostic decisions with medical claim factoring that advances payments to providers. The whole medical journey is getting automated. 

By effectively "underwriting" medical services to confirm payment eligibility from health plans, Adia ensures real-time payments to providers. This frees providers from the uncertainties of payer reimbursements, enabling predictable cash flow for better business management and patient care. 

Adia commits to building products with the latest technology, finest predictive models, LLMs, a comprehensive medical Knowledge Graph, and more.

Visit our website: https://www.adia.ai/

To achieve that we need to build a world-class Financial platform, which can perform financial projections for a lab order in matter of milliseconds and move money between all healthcare actors involved with traceability in place.

What you'll be doing

The ideal candidate will be responsible for managing and inspiring his or her team to achieve their performance metrics. Your collaborative attitude and interpersonal skills will help you thrive as an Engineering Manager.

You will be in charge of building the Financial platform team from scratch. This team will be responsible for covering “Revenue cycle management” and “Money movement” product areas.

Your first 90 days

• Your first two weeks will focus on onboarding. You'll work on small coding tasks to learn our tech stack, system architecture, and medical domain basics.
• Next month, you will collaborate with the Product Manager to develop a comprehensive team roadmap and initiate the recruitment process for essential team members.
• By the end of your third month, you'll have a common managerial routine, including team rituals, one-on-one meetings, planning for future product cycles, and active participation in management team initiatives.

Primary Responsibilities

• Hiring great talent and adjusting hiring process to meet team’s needs.
• Planning together with the team a roadmap for product cycles.
• Manage, coach, and support engineering team. Coaching and growing engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention.
• Providing feedback on product and technical specs to help engineers identify where to cut scope or improve quality.
• Fixing small bugs or doing small improvements to our tech stack while staying off the critical path.
• Communicate team goals and ensure project timelines are met

Requirements

• At least 12+ years experience in Software development roles
• 3+ years' experience as Engineering manager.
• 5+ years experience as Lead Engineer.
• Proficiency in Node.js, JavaScript, TypeScript, PostgreSQL, NoSQL and Cloud
• Self motivated , thought leader with proven Engineering leadership skills
• US Health care domain expertise is preferred
• Fintech and exposure to payment gateway systems will be added advantage

HOW YOU WILL HELP US SUCCEED

• Your main role as an iOS developer is to build a frictionless end-user experience. A key part of achieving this is through applying your expertise while having a close collaboration with other Android & iOS and backend developers, as well as business stakeholders.
• Build features and maintain frontend services by implementing defined work issues.
• Improve and maintain existing code.
• Work with databases, servers, microservices, and APIs, and the integration of all these processes with the native environment.
• Work collaboratively by proposing solutions and alternative point of views to problems.
• Pair Programming and Code Reviews.
• Participate in SCRUM ceremonies.

WHAT YOU WILL NEED TO SUCCEED

• A minimum of 3 years of coding as an iOS Developer.
• In-depth experience with Swift and Xcode.
• Up to date with the latest Cocoa and iOS trends.
• Understanding of UI Kit, Core Animation, Interactions, GCD & Networking.
• Excellent understanding of design patterns & Object Oriented Programming.
• Understanding of analytics, remote reporting and measurements.
• Experience of working with Continuous Integration (CI) and Unit Testing on iOS.
• Experience with API’s and core data.
• Excellent debugging skills.
• Experience working with Git.
• Knowledge of socket based networking desirable.
• Understanding of the iOS ecosystem (APNs, Code signing, iTunes Connect, TestFlight).

• Liaising with clients to identify specific business problems and develop ideas
• Communicating with colleagues within the agency, such as creatives and account managers, in the process of developing a campaign
• Gaining a comprehensive context for advertising strategies by analysing a wide range of information in detail, including demographics, socio-economic and the market for the client's product and market share;
• Commissioning research from outside organisations to inform advertising strategies, using both qualitative methods, such as focus groups and structured interviews, and quantitative methods, such as demographic profiling and questionnaires
• Running research groups
• Finding an 'angle' on a specific product or service on which to base a campaign;
• Researching the product or service to be advertised, which may involve gaining technical or specific knowledge
• Reconciling the differences between consumers' current perceptions of the brand and the way the client wishes the brand to be perceived;
• Meeting the client to learn the background of the brand and advising on possible approaches to the target market
• Providing the creative team with a clearly defined brief that contains concise information on the product, audience and strategy
• Presenting conclusions and ideas to clients and other agency staff
• Analysing and interpreting customer response and sales data to evaluate the effectiveness of the campaign.

Summary of the role: 

As an Analytics Engineer, you will work closely with internal team members to implement Adobe Analytics/Google Analytics on clients’ websites. In this role, you will use front-end technologies such as HTML, CSS, JavaScript, jQuery to support the development and implementation of web analytics tracking. You will also set up and maintain successful Adobe Analytics/Google Analytics deployments and identify and solve complex and interesting tracking problems. Using JavaScript/jQuery, you will design analytics solutions by understanding the client’s business and online marketing goals, gathering requirements, defining project scope, and providing technical guidance.

Qualification:

• Bachelor’s degree from an accredited university
• Strong technical aptitude and expertise with JavaScript, HTML,CSS
• Expertise in Adobe DTM/Adobe Launch and Adobe Analytics implementation through other tag management solutions

Experience:

• 3+ years of relevant experience in Adobe Analytics implementation using DTM/Adobe Launch
• Web Development experience is a plus as it relates to the development, configuration and implementation of Web Analytics solutions
• Experience with other web platforms like Google Analytics, Tealium, Tealeaf, etc. is a plus

Responsibilities:

• Understand client business requirements and how to map those requirements to specific digital measurement tactics
• Development of documentation, deliverables and solutions requirements for web analytics tracking
• Work closely with account management and development teams to oversee the implementation, configuration and debugging of web analytics code, both on-site and through tag management systems
• Support digital marketing teams (paid search, SEO, conversion rate optimization, digital media, etc.) to implement customized tracking for campaign initiatives

Key Skills:

• Strong understanding of web analytics implementation tools - Adobe Analytics Implementation Experience
• Ability to use Adobe DTM/Adobe Launch to implement changes suggested by web analytics team
• Hands on experience in writing DTM rules and troubleshooting the existing implementations
• Expert-level knowledge in Adobe DTM/ Adobe Launch and Adobe Analytics is a must
• Knowledge and experience in Google Analytics/Google Tag Manager or other web analytics platforms is a plus
• Knowledge of web development technologies - JavaScript, HTML, CSS etc.
• Experience in producing technical specifications, solution design reference documents, reference manuals, developer guides, and/or code requirements
• Excellent ability to read and debug HTML, JavaScript to successfully test tags
• Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability
• Excellent written skills and the ability to write for both technical and non-technical users
• Willingness to travel for client discoveries and other off-site meetings
• Experience with developing analytics testing processes
• Ability to effectively communicate with clients and colleagues at all levels