4+ Forecasting Jobs in Pune | Forecasting Job openings in Pune

Your Experience at a Glance

We’re hiring a Data Scientist for our client delivers advanced data, analytics, and digital transformation solutions to help organizations modernize and drive business insights.

As a Data Scientist, you will play a key role in developing and deploying demand forecasting and pricing models, leveraging advanced statistical and machine learning techniques. You will collaborate closely with data engineers and business stakeholders to extract, transform, and analyze large datasets, ensuring robust and scalable solutions. This position requires strong ownership of model development, from data pipeline integration to model evaluation and reporting. Your work will directly impact business decision-making and operational efficiency, contributing to KPIP’s mission of enabling data-driven transformation.

KPIP is a global consulting and technology services firm specialising in data, analytics, and digital transformation. Serving a diverse range of industries, KPIP empowers organisations to modernize their data ecosystems and unlock actionable business insights. The company is recognized for its expertise in delivering scalable solutions, fostering a culture of innovation, and driving measurable impact for clients worldwide.

Key Responsibilities

● Develop and implement demand forecasting and pricing models using advanced statistical and machine learning techniques.

● Extract, transform, and analyze large datasets using Python and SQL to support model development and business insights.

● Collaborate with data engineers to build and maintain robust, scalable data pipelines for model training and inference.

● Apply regression, classification, time-series forecasting, ensemble methods, and feature engineering to solve business problems.

● Work with business stakeholders to understand requirements and translate them into actionable data science solutions.

● Create automated reports and dashboards to present and track model outputs and performance.

● Continuously evaluate and improve model accuracy and effectiveness based on business feedback and new data.

● Document methodologies, processes, and results to ensure transparency and reproducibility.

● Stay updated with the latest advancements in data science and machine learning to drive innovation within the team.

Required Skills

● Proven experience in demand forecasting and predictive modeling.

● Strong proficiency in Python, including pandas, NumPy, scikit-learn, and TensorFlow or PyTorch.

● Expertise in SQL for data extraction and transformation.

● Solid understanding of statistical and machine learning techniques such as regression, classification, time-series forecasting, ensemble methods, and feature engineering.

● Ability to analyze and interpret large, complex datasets to generate actionable insights.

● Experience collaborating with data engineers to develop scalable data pipelines.

● Strong problem-solving skills and attention to detail.

● Excellent communication skills for presenting technical concepts to non-technical stakeholders.

Nice to Have

● Experience with customer segmentation, recommendation systems, and sentiment analysis.

● Knowledge of inventory optimization, promotion uplift modeling, and campaign analysis.

● Familiarity with churn prediction models.

● Proficiency in Power BI for creating automated reports and dashboards.

● Experience in developing and maintaining data pipelines for model training and inference.

Why Join?

Join to work on impactful data science projects that drive real business outcomes and innovation. You’ll tackle complex technical challenges, collaborate with talented professionals, and have opportunities for continuous learning and growth, fosters a culture of collaboration, excellence, and data-driven decision-making, empowering you to make a meaningful difference in a dynamic environment.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Job Details

- Job Title: Senior Account Executive (Inside Sales)

- Industry: SAAS

- Function: Sales/Business Development

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Preferred Skills: Excellent Communication Skills, SaaS Sales, lead generation, End to End Sales

Criteria:

6+ years of overall experience with 4 and more years in SaaS sales (mandatory)

Proven experience in inside sales / outbound sales, preferably in APAC markets.

Strong track record of owning end-to-end sales cycle (prospecting u2192 demo u2192 negotiation u2192 closure).

Strong experience in pipeline generation, opportunity management, and accurate forecasting.

Experience delivering product demos and articulating technical features & business value. 

Job Description

What will you create and do?

We are looking for a smart, well-spoken Account Executive with experience in the APAC markets to assist our company in expanding our customer base. The Account Executive’s responsibilities include promoting and selling company products by demonstrating the advanced technical functions of the product as well as its uses and benefits, understanding customer requirements & documenting the same, creating opportunities, submit proposals, negotiate & close deals. To be a successful Account Executive, you must have excellent communication, interpersonal, customer and closing skills. You should also demonstrate the ability to meet deadlines and have strong analytical skills.

Experience Range: Overall 6+ years, 4+ years in SaaS sales

Education Qualification: Graduation

What will qualify you for this role?

Essential:

● Planning and Organization – The ability to establish a process for activities that lead to the implementation of systems, procedures or outcomes

● Results Orientation – The ability to identify actions necessary to complete tasks and obtain results

● Goal Achievement – The overall ability to set, pursue, and attain achievable goals, regardless of obstacles or circumstances

● Flexibility – The ability to readily modify, respond to, and integrate change with minimal personal resistance

● Data Analysis – The ability to read and analyze data

● Customer Focus – Commitment to customer satisfaction.

Desired Skills:

● Interpersonal Skills

● Personal Accountability

● Diplomacy & Tact

● Self-Management

Key Responsibilities:

● Identify and develop new business through networking and prospecting techniques.

● Prepare and deliver customer presentations, including high-level solution overviews and/or demos.

● Understand customers’ business needs and challenges and position the relevant solutions that address those needs.

● Persuade potential buyers that a product or service best satisfies their needs in terms of quality, price, and service delivery while managing customer objections.

● Develop pipeline by using the company’s sales methodology and processes.

● Manage sales opportunities throughout the sales cycle.

● Strong outbound sales experience

● Ensure accurate and timely forecasting and reporting for management visibility.

● Strong knowledge of scientific and technical products.

● Excellent interpersonal skills.

● Create sales literature to promote company solutions, products, and services.

● Demonstrate the technical features and benefits of our products.

● Advise customers on technology upgrades and related products.

● Compose tender documents and customer proposals.

● Generate purchase orders and sales receipts.

● Maintain strong customer relations.

● Attend product training courses and seminars.

● Meet sales targets.

A Financial Research Analyst is responsible for gathering, analyzing, and interpreting financial data to support investment decisions, business strategies, or financial forecasting. Their primary role is to provide insights and recommendations based on their research to help guide the organization or clients in making informed financial decisions.

Key Responsibilities:

Data Collection & Analysis:

• Gather financial data from various sources (e.g., financial statements, market reports, industry trends, etc.).
• Analyze financial information, including profit and loss statements, balance sheets, and cash flow reports.

Market and Industry Research:

• Research industry trends, economic conditions, and market conditions to identify investment opportunities or risks.
• Track competitor performance and benchmarking.

Financial Modeling and Forecasting:

• Build and maintain financial models to project future performance, such as forecasting revenue and expenses.
• Use quantitative tools to evaluate investment options and potential financial outcomes.

Report Creation:

• Prepare detailed reports summarizing findings, analyses, and recommendations for internal stakeholders or clients.
• Present research findings to management, clients, or investors in a clear and concise manner.

Investment Recommendations:

• Provide recommendations for investment opportunities, such as stocks, bonds, or alternative investments.
• Assist with the evaluation of portfolios and asset management strategies.

Risk Assessment:

• Assess financial risks related to investments, projects, or business decisions.
• Recommend risk management strategies based on data analysis.

Collaboration & Communication:

• Work closely with other teams, such as investment managers, accountants, or business strategists, to align research with broader business objectives.
• Communicate findings and insights clearly to both financial and non-financial stakeholders.

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