16+ Forecasting Jobs in India

Roles and Responsibilities

Financial Controller

1. Leadership and Strategic Planning: Collaborating with senior leadership on

strategic initiatives and providing financial insights

2. Budgeting and Forecasting: Leading the budgeting and forecasting process to

provide accurate financial projections.

3. Cost Control: Implementing/ identify measures to control costs and improve

profitability

4. Team Management: Leading and developing a team to ensure effective

performance and goals achievement

5. Risk Management: Identifying financial risks and implementing strategies to

mitigate them.

6. Hands on experience of fundraising from Institutional Investors and closely

monitor the due diligence process for fundraising.

7. Liaising with financial institutions, regulatory authorities, and other agencies

8. Dealing with Investment Bankers, NBFC, Rating Agencies and Govt authorities

9. Raising long term Debt and short-term funding

10. Interacting with Strategic investor, Private Equity, FIs and NBFCs

Chief Compliance Officer

11. Ensuring compliance with secretarial related matters under Companies Act 2013.

12. Liaison with Stock Exchanges, SEBI and other regulatory authorities and look

after yearly/half yearly returns, audit reports, SEBI enhanced supervision data

and other periodic compliances.

13. Handling of periodic and event-based compliances of Stock Broking, DP, Merchant

Banking, PMS and Market Making. Ensuring timely & accurate regulatory

submission to exchanges, Depositories, various PMS submission etc.

14. Review and defining processes for implementation of various circulars issued by

Exchanges, Depositories, SEBI etc.

15. Query handling in relation to regulatory area of SEBI, Exchanges & Depositories.

16. Handling regulatory & exchange inspections, if any.

17. Assist the Senior Management in overseeing the implementation of the

Compliance Policy, internal codes of conduct, prescriptions in compliance

manuals, etc.

18. Drafting of Annual Report sections relating to secretarial and legal compliances

under Companies Act.

Key Responsibilities :

- Ensuring monthly book closure, revenue recognition & accrual of proper costs in all categories to be in line with the internal guidelines and the statutory requirements

- Preparation of MIS reports, schedules, reports & MTM change analysis.

- Validating monthly revenues, analytical checks on system reports

- Ensure compliance of all statutory audits, internal audits & ICFR related requirements within timelines.

- Drive automation for various reports & activities.

- Collaborate with internal stakeholders for reporting requirements

- Work with the team for preparation of the monthly closure & Quarterly Audit plans

Job Requirements :

- CA with good academic records

- Systematically process, measure and verify financial and accounting information

- Analyze financial details and do value addition to business - Strong Bias for action, problem solving and ownership Full Time Employee Benefits (Not applicable for Intern or Contract Roles)

• Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance

• Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System

• Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program

• Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy

• Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment

• Other Benefits - Higher Education Assistance, Car Lease, Mobile & Broadband Reimbursements, Salary Advance Policy

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

RESPONSIBILITIES:

• Design, build, execute financial, strategic, and operational analysis across the company and products
• Visa arrangement
• Assist in quarterly and annual budgeting, planning, and forecasting process 
• Assist in month-end finance process including closing books, audit, Invoicing, A/R report, etc
• Assist in managing the HRIS system including data updates of all employee information changes and additions; ensure integrity and accuracy of People data 
• Monitor and report on all key HR metrics; manage the design, implementation and tracking of all People team KPIs 
• Provide useful data to help guide decision-making, and allow the company to scale effectively and efficiently
• Identify and recommend methods to automate, simplify, and enhance processes, procedures, and technology to support the finance and operations team

REQUIREMENTS:

• Must have completed Chartered Accountancy (CA) course
• 1-3 years of experience in finance and operations, preferably in a high-growth tech environment 
• Must show documented proficiency in project management - from project design to evaluation 
• Attention to detail; experience with analytics, metrics and business consulting skills preferred
• Candidate must be able to effectively synthesize disparate quantitative and qualitative data sets to make data-driven decisions quickly for the organization
• Ability to diagnose problems with strategic thinking skills, as well as drive appropriate solutions with self-initiative preferred
• Strong communication and collaborative skills to effectively support and connect with a diverse team
• Obsessive around moving critical business metrics and products

Hello,

Key Responsibilities –

• Designing, maintaining and updating a suite of financial models for business valuation and strategic decision-making (for buy-side equity clients and SAAS companies)
• Involves conceptualizing framework, designing models and updating already developed models on monthly, quarterly, and need-based frequency
• Manage client engagements on a fully independent basis including one-to-one client communication and manage his/her work independently with end-to-end ownership of client
• Conducting financial and business analyses on various companies and preparing presentation decks and writeups for financing activities
• Preparing custom financial dashboards and screeners based on appropriate financial and operating metrics
• If required, manage 1-2 junior team members and train them on building domain/sector expertise
• Contribute/work on important pilot projects
• Create IPs/white papers/blogs/articles/teasers which can be used for marketing purposes

• Experience in financial modeling and end-to-end management of projects and communication with clients
• Excellent grasp of financial concepts and their application across all areas of financial analysis and valuation
• Proficiency in Excel-based analysis
• Aptitude for problem-solving and troubleshooting
• Ability to synthesize qualitative and quantitative data quickly and draw meaningful insights
• High consciousness towards attention to detail; drive and commitment towards delivering high-quality Service

Position Title – Sr. Research Analyst
Location – Noida

Education – MBA finance / CFA level II or III / CA

Will be incharge for Digital Marketing, Web development , Business consulting to startups and sick unit Domain and accountable for Profit Generation .

Develop goals and objectives that tend to growth and prosperity

Design and implement business plans and strategies to promote the attainment of goals

Ensure that the company has the adequate and suitable resources to complete its activities (e.g. people, material, equipment etc.)

Organize and coordinate operations in ways that ensure maximum productivity and Profitable.

Supervise the work of employees and provide feedback and counsel to improve efficiency and effectiveness

Maintain relationships with partners/vendors/suppliers

Gather, analyze and interpret external and internal data and write reports

Assess overall department  performance against objectives

Represent the company in events, conferences etc.

Ensure adherence to legal rules and guidelines

Coordinate with Technical Team to deliver better service.

Will be incharge for Marketing , Sales, Managing Team , Service , Business Forcasting  and Planing.

KRA.

Month on Month Profit Generation by effectively Running the Business unit.

Always should Exceed the Customers Expectation

Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21^st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.

We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.

What we expect from you 

• Degree in Statistics, Maths, Physics, Economics or similar field
• Programming skills (Python and SQL are a must have)
• Analytical Techniques and Technology
• Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
• Logical thinking and problem solving
• Strong communication skills
• Statistical Modelling and experience of applying data science into client problems
• 2 to 5 years of experience required

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not.

Plus, thoughtful perks, like early finish Friday and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Women’s Network, dh Proud, dh Parent’s & Carer’s, dh One and dh Thrive as the living proof. Everyone’s invited.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

Job Description: Data Scientist

At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.

We are a Remote-First Company.

Read more about us here: https://www.propellor.ai/consulting" target="_blank">https://www.propellor.ai/consulting

What will help you be successful in this role

• Articulate
• High Energy
• Passion to learn
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Ability to narrate the story to the business stakeholders
• Generate insights and the ability to turn them into actions and decisions

Skills to work in a challenging, complex project environment

• Need you to be naturally curious and have a passion for understanding consumer behavior
• A high level of motivation, passion, and high sense of ownership
• Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
• Flexibility to work on multiple projects and deadline-driven fast-paced environment
• Ability to work in ambiguity and manage the chaos

Key Responsibilities

• Analyze data to unlock insights: Ability to identify relevant insights and actions from data.  Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.   
• Bring in experience for AI and ML:  Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
• Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights. 
• DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs.  Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.

Technical Skills

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.

• Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
• Strong experience with popular database programming languages including SQL.
• Strong experience in Spark/Pyspark
• Experience in working in Databricks

What are the company benefits you get, when you join us as?

• Permanent Work from Home Opportunity
• Opportunity to work with Business Decision Makers and an internationally based team
• The work environment that offers limitless learning
• A culture void of any bureaucracy, hierarchy
• A culture of being open, direct, and with mutual respect
• A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
• The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives

To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE

Whom will you work with?

You will closely work with other Senior Data Scientists and Data Engineers.

Immediate to 15-day Joiners will be preferred.

Company Profile:

The company is World's No1 Global management consulting firm.

What you need to have:

• CA inter or ICWA.
• Strong fluency with Excel formulas and functions
• Proficiency in financial modeling techniques
• Strong analytical and data gathering skills
• Strong quantitative and analytical competency
• Positive and highly motivated and driven
• Willingness to work in a fast paced / dynamic environment
• Excellent communication skills

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Cross-functional coordination of digital marketing programs.
• Ability to convey the power of the company platform, by defining customer lifecycle journeys and assets to facilitate program execution.
• Engage our customers in a human, meaningful, and value-driven manner. Define and execute customer lifecycle adoption and engagement programs in accordance with digital strategy and execution plan.
• Leverage engagement capabilities to reach thousands of customers based on targeted, segmented approaches.
• Monitor and report on metrics associated with program execution.
• Ability to leverage data and analytics to expand and optimize programs.
• Accountability for adoption, renewal, and churn improvement goals.

Requirements

• 4+ years of industry experience; 2+ years in a related domain. Experience in successful multi-channel enterprise SaaS digital engagement and adoption programs is a strong plus.
• Bachelor’s degree; advanced degree in a business, marketing or technical field preferred.
• Demonstrate being data-driven: continuously test, measure, and improve programs and tactics.
• Possess expertise in the use of various content types and engagement methods, such as video, chat, social media, mobile, email to execute digital programs.
• Knowledge of Google Analytics / Gainsight / Marketo / Optimizely / Pendo / Salesforce / Tableau, etc. to get the data and insights you need to successfully design, execute and monitor programs.
• Prior experience as a customer lifecycle marketer, growth product manager/marketer, product marketing manager, or digital customer success manager.
• Excellent communication - verbal and written.
• Display effective leadership skills, team collaboration, and executive presentation skills

What you need to have: