Admission Counselor

Role Overview

We are looking for an experienced Reinsurance Test Analyst with a strong understanding of reinsurance domain processes (treaty and facultative) and hands-on experience in functional and migration testing of reinsurance administration systems such as DXC SICS, Synergy 2, or Sapiens ReinsuranceMaster. The ideal candidate will work closely with business, QA, and implementation teams to validate treaty configurations, financial calculations, and claim recoverables with absolute precision.

Key Responsibilities

● Perform functional, migration, and regression testing for reinsurance platforms (DXC SICS, Synergy 2, etc.).

● Understand and validate treaty and facultative reinsurance workflows underwriting, claims, accounting, and reporting.

● Review retention, limit, and ceding ratio configurations and verify accuracy in financial outcomes.

● Conduct data reconciliation and validation during migration cycles (ETL and financial mapping).

● Support User Acceptance Testing (UAT) preparing business scenarios, logging defects, and coordinating with stakeholders.

● Work with automation engineers to convert manual scenarios into reusable automated tests (Playwright / Python preferred).

● Document test cases, results, and evidence for audit and IFRS 17 compliance.

● Collaborate with DXC, business analysts, and development teams to ensure quality deliverables within timelines. 

Required Skills & Experience

● 5-10 years of experience in software testing, with at least 3+ years in the reinsurance domain testing.

● Strong understanding of treaty and facultative reinsurance, proportional and non-proportional treaties, and retrocession.

● Experience testing one or more reinsurance systems such as DXC SICS, Synergy 2, Sapiens, or similar.

● Proficiency in functional testing, data validation, and regression testing.

● Hands-on experience with SQL, Excel-based reconciliation, and defect-tracking tools (JIRA / Azure DevOps).

● Good understanding of IFRS 17, financial reconciliation, and reporting validations (added advantage).

● Exposure to automation testing using Playwright / Selenium / Python preferred.

● Excellent analytical skills and attention to detail ability to validate complex financial logic. 

Qualifications

● Bachelors or Masters degree in Computer Science, Engineering, Finance, or related field.

● Domain certification in insurance or reinsurance will be an added advantage.

Preferred Background

● Experience working with insurance or reinsurance clients (life/non-life).

● Exposure to migration or transformation projects involving system replacement or data conversion.

● Familiarity with Agile / Scrum testing methodologies.

● Strong communication skills able to interact effectively with business and technical stakeholders.

Exp: 5+ Years

CTC: up 20 LPA

Location: Bangalore

Looking for a Shopify Plus developer with over 5+ years of experience, based in Bangalore, and available to work from our office.

Responsibilities

The ideal candidate should have strong experience in

• Shopify Plus admin portal development
• Custom Shopify app development, especially for checkout and other templates
• Writing GraphQL queries
• Liquid, JavaScript, and CSS development

Position: EXECUTIVE ASSISTANT TO DIRECTOR- Female

Location: Meerut

Experience: 7-12 year on any leadership role preferred with a manufacturing company.

salary: Negotiable

Industry: Manufacturing

Qualification: Any Graduate or Post graduate

Executive Support:

·         Manage and optimize the Directors complex calendar, including scheduling meetings, travel arrangements, and key events.

·         Prepare briefing materials, agendas, and presentations for meetings.

·         Handle confidential information with utmost discretion.

·         Coordinate and prioritize incoming communications (emails, calls, documents) for the Director.

Project & Office Management:

·         Oversee key projects and initiatives on behalf of the Director.

·         Manage workflows and deadlines to ensure timely completion of tasks.

·         Lead and mentor junior administrative staff and executive assistants.

Stakeholder Engagement:

·         Serve as a liaison between the Director and internal/external stakeholders.

·         Draft and review correspondence, reports, and presentations.

·         Coordinate with other departments to facilitate smooth operations.

Event & Travel Coordination:

·         Arrange complex travel itineraries, including visas, accommodations, and logistics.

Strategic Support:

·         Assist in preparing strategic documents, reports.

·         Conduct research and compile data to support decision-making.

·         Anticipate the Directors needs and proactively manage tasks and issues.

·         Play as a role of CRM to maintain the good relationship with the existing clients.

Skills:

·         Exceptional organizational and time-management skills.

·         Strong written and verbal communication abilities.

·         Good listening skills.

·         High level of discretion and confidentiality.

·         Proficiency in MS Office Suite, Google Workspace, and proficiency in any software .

·         Strong problem-solving skills and adaptability in a fast-paced environment.

·         Strategic thinking and problem-solving

·         Proactive and resourceful

·         High emotional intelligence and interpersonal skills

·         Leadership and team management.

mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

stish: 88 O2 74 97 43

Senior Data Scientist

Your goal: To improve the education process and improve the student experience through data.

The organization: Data Science for Learning Services Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.

The Role: Senior Data Scientist

As a Senior Data Scientist, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.

Responsibilities:

• Translate product requirements into AIML/NLP solutions

• Be able to think out of the box and be able to design novel solutions for the problem at hand

• Write production-quality code

• Be able to design data and annotation collection strategies

• Identify key evaluation metrics and release requirements for data products

• Integrate new data and design workflows

• Innovate, share, and educate team members and community

Requirements:

• Working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP • Working experience on large language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred

• Knowledge on MLOPs and deployment pipelines is a must

• Expertise on supervised, unsupervised and reinforcement ML algorithms.

• Strong programming skills in Python

• Top data wrangling skills using SQL or NOSQL queries

• Experience using containers to deploy real-time prediction services

• Passion for using technology to help students

• Excellent communication skills

• Good team player and a self-starter

• Outstanding analytical and problem-solving skills

• Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.

Why do we exist?

Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more, to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.

Video Shorts

Life at Chegg: https://jobs.chegg.com/Video-Shorts-Chegg-Services

Certified Great Place to Work!: http://reviews.greatplacetowork.com/chegg

Chegg India: http://www.cheggindia.com/

Chegg Israel: http://insider.geektime.co.il/organizations/chegg

Thinkful (a Chegg Online Learning Service): https://www.thinkful.com/about/#careers

Chegg out our culture and benefits!

http://www.chegg.com/jobs/benefits

https://www.youtube.com/watch?v=YYHnkwiD7Oo

http://techblog.chegg.com/

Chegg is an equal-opportunity employer

We are hiring, young, enthusiastic, dynamic, smart and experienced individual to be a part of our expanding marketing chain of Casey Food division. If you have –

• A Bachelor’s degree, with sales as your core dream.
• Proven Sales Experience.
• Fantastic track record of meeting sales target.
• A passion towards multitasking and team building.
• Ability to work under pressure.
• Strong problem-solving, organizational and management skills.
• Excellent negotiation, convincing and consultative sales expertise.
• Effective communication skills.
• Exceptional customer orientation knowledge.

Then you are the one to whom we are searching for. Being the Sales head of a district, you will dispose the following job responsibilities:

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.

• Strong verbal and written communication skills.
• A versatile personality with above average organizational and planning skills.
• A person with critical thinking and problem solving ability.
• A good team player with creation and handling of team.
• A customer centric person with customer centric business agenda.
• An exemplar having capacity to analyze marketing trends, and promoting product, service and promotional activities.
• A person who can develop transparent marketing strategies to expand brand recognition.

Experience –

3 – 8 years in FMCG/Retail of Insurance Marketing.

CTC –

20,000 fixed as regular salary, and 5, 000 as TA. Total = 25,000.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning

Job role:

We are looking for a tech-savvy Business Analyst, Pre-Sales Representative with an ability to do hands-on Sales. Your role will be to seek new business opportunities by contacting and developing relationships with potential customers. You will be speaking to Who's Who of the fintech world.

It is an added advantage if you have experience in developing leads from marketing campaigns and meeting sales quotas. You will be responsible for the entire sales cycle from establishing customer contact until signing a deal. You will also ensure proper after-sales service.

Job Location: Indore | Full Time | Experience: 0 to 6 years | Salary ∝ Expertise | Rs.1.8L ~ Rs.3L | Freshers allowed

About the company:

Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand.  KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4

We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com

Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8

Responsibilities:

• This is not another Sales job, it involves Concept Selling too.
• Find customers for Products & Services provided by the company
• Contact potential clients via phone, emails, and LinkedIn
• Identify client needs and suggest appropriate products/services
• Customize product solutions to increase customer satisfaction
• Build long-term trusting relationships with clients
• Proactively seek new business opportunities in the market
• Directly report to the CEO
• Stay up-to-date with new products/services and new pricing/payment plans
• Keep an eye on the competition.

Requirements:

• Proven work experience as a Business Development Representative, Sales Account Executive or similar role
• Hands-on experience with multiple sales techniques (eg: inbound, outbound, field sales)
• Track record of achieving sales quotas
• Experience with CRM software, Online tools for effective sales
• Understanding of sales performance metrics
• Excellent communication and negotiation skills, Good Email writing skills
• Ability to deliver engaging presentations
• Degree in Marketing, Business Administration or relevant field.