Digital Marketing Intern

We are seeking an experienced SAP FI Consultant to support the implementation, enhancement, and maintenance of SAP Financial Accounting (FI) solutions. The role involves working closely with business stakeholders to understand financial processes, configure SAP FI modules, provide system support, and ensure efficient financial operations.

Key Responsibilities

• Configure and support SAP FI modules, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Asset Accounting (AA), and Bank Accounting.
• Gather business requirements and translate them into SAP solutions.
• Perform system configuration, testing, and documentation.
• Support SAP implementation, rollout, migration, and enhancement projects.
• Troubleshoot and resolve SAP FI-related issues.
• Coordinate with cross-functional teams, including SAP CO, MM, SD, and technical teams.
• Conduct user training and provide post-go-live support.
• Ensure compliance with accounting standards and internal controls.

Required Skills

• Strong hands-on experience in SAP FI configuration and support.
• Good understanding of financial accounting processes and reporting.
• Experience with end-to-end SAP implementation or support projects.
• Knowledge of integration between SAP FI and other SAP modules.
• Strong problem-solving and stakeholder management skills.
• Excellent communication and documentation abilities.

Criteria

Mandatory

• Strong Product / Business Analytics profile, with a focus on B2C digital products
• Mandatory (Experience 1): Must have 4+ YOE in Consumer analytics for Product / Marketing / Business / Consumer behaviour Insights for B2C Products (Don't want logistics, operations or supply-chain focused analytics profiles, they should have worked on consumer-side analytics)
• Mandatory (Experience 2): Must have hands-on experience with data analysis tools (SQL, Excel, Python, R)
• Mandatory (Experience 3): Must have hands-on experience with KPI dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels
• Mandatory (Experience 4): Proven ability to translate and communicate complex analytical concepts into clear, actionable insights for non-technical stakeholders
• Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)
• Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
• Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
• Mandatory (Stability): Minimum 2 years per role required. One short stint is acceptable if there’s a long tenure (eg: 5+ years) in a prior role. Frequent job changes are straight rejects.
• Note: Total years of experience must not exceed 6 years.

Preferred Companies

Scaler, Unacademy, upGrad, BYJU’S, Vedantu, Khan Academy, Toppr, Practo, QISpine, Paytm, Paytm Money, Freo Money, Groww, Zerodha, CRED, Navi, PhonePe, Jupiter, Kuku FM, Hike Messenger, Pocket FM, Dailyhunt, Gaana, JioSaavn, MX Player, Hotstar, Gameskraft, Dream11, MPL, Nazara Technologies, WinZO

Wissen Technology is hiring for Data Engineer

About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: Wissen Technology is hiring a Data Engineer with expertise in Python, Pandas, Airflow, and Azure Cloud Services. The ideal candidate will have strong communication skills and experience with Kubernetes.

Experience: 4-7 years

Notice Period: Immediate- 15 days

Location: Pune, Mumbai, Bangalore

Mode of Work: Hybrid

Key Responsibilities:

• Develop and maintain data pipelines using Python and Pandas.
• Implement and manage workflows using Airflow.
• Utilize Azure Cloud Services for data storage and processing.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and integrity throughout the data lifecycle.
• Optimize and scale data infrastructure to meet business needs.

Qualifications and Required Skills:

• Proficiency in Python (Must Have).
• Strong experience with Pandas (Must Have).
• Expertise in Airflow (Must Have).
• Experience with Azure Cloud Services.
• Good communication skills.

Good to Have Skills:

• Experience with Pyspark.
• Knowledge of Kubernetes.

Wissen Sites:

• Website: http://www.wissen.com
• LinkedIn: https://www.linkedin.com/company/wissen-technology
• Wissen Leadership: https://www.wissen.com/company/leadership-team/
• Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
• Wissen Thought Leadership: https://www.wissen.com/articles/

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Quality Assurance & Testing Head

Location: Thane Role

Requirement:

• 17 -22 years of experience in Manual & Automation Testing in Payments Domain

• Extensive experience in ATM, Payment and Cards domain. Sound knowledge of Payment schemes/networks and certification process

• Strong technical knowledge in Payment Applications, Infrastructure and Automation tools

• Good communication skills and stakeholder management

• Experience in leading end-to-end medium to large projects for entire Testing life cycle which includes efforts estimation, scheduling, defining test strategies and aligning various delivery streams to the strategy encompassing transformational thinking with agile approach

• Ability to take ownership and accountability for Testing deliverables which include Test Strategy, Environment setup Test Plan, Test Scenarios/cases/results,

• Experience in driving automation testing across all workstreams to improve the efficiency of overall testing cycle which includes design and develop reusable and robust automation assets.

• Experience in managing a large team. The role will lead a team of 40 plus employees which includes Managers, Team Lead and Test Engineers and provide mentorship and career guidance.

• Stays abreast of QA & Testing best practices and the latest available tools, frameworks, and standards.

Job Details: 

• Three plus years of experience in IT systems analysis and application program development
• Experience in an Object Oriented Programming language such as Java is a must
• The candidate must be a hands-on coder doing active development
• Extensive experience programming in Java Application Development & RESTful API
• Experience in AWS Cloud technologies is optional but good to have
• Proficient in Object-Oriented Programming (OOP) concepts, workflows, and design patterns