11+ Demand forecasting Jobs in Chennai | Demand forecasting Job openings in Chennai
Apply to 11+ Demand forecasting Jobs in Chennai on CutShort.io. Explore the latest Demand forecasting Job opportunities across top companies like Google, Amazon & Adobe.
About Moative
Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Role
We seek skilled and experienced data science/machine learning professionals with a strong background in at least one of mathematics, nancial engineering, and electrical engineering, to join our Energy & Utilities team. If you are interested in articial intelligence, excited about solving real business problems in the energy and utilities industry, and keen to contribute to impactful projects, this role is for you!
Work you’ll do
As a data scientist in the energy and utilities industry, you will perform quantitative analysis and build mathematical models to forecast energy demand, supply and strategies of ecient load balancing. You will work on models for short term and long term pricing, improving operational eciency, reducing costs, and ensuring reliable power supply. You’ll work closely with cross-functional teams to deploy these models in solutions that provide insights/ solutions to real-world business problems. You will also be involved in conducting experiments, building POCs and prototypes.
Responsibilities
- Develop and implement quantitative models for load forecasting, energy production and distribution optimization.
- Analyze historical data to identify and predict extreme events, and measure impact of extreme events. Enhance existing pricing and risk management frameworks.
- Develop and implement quantitative models for energy pricing and risk management. Monitor market conditions and adjust models as needed to ensure accuracy and effectiveness.
- Collaborate with engineering and operations teams to provide quantitative support for energy projects. Enhance existing energy management systems and develop new strategies for energy conservation.
- Maintain and improve quantitative tools and software used in energy management.
- Support end-to-end ML/ AI model lifecycle - from data preparation, data analysis and feature engineering to model development, validation and deployment
- Collaborate with domain experts, engineers, and stakeholders in translating business problems into data-driven solutions
- Document methodologies and results, present ndings and communicate insights to non-technical audiences
Skills & Requirements
- Strong background in mathematics, econometrics, electrical engineering, or a related eld.
- Experience data analysis, and quantitative modeling using programming languages such as Python or R.
- Excellent analytical and problem-solving skills.
- Strong understanding and experience with data analysis, statistical and mathematical concepts and ML algorithms
- Proficiency in Python and familiarity with basic Python libraries for data analysis and ML algorithms (such as NumPy, Pandas, ScikitLearn, NLTK).
- Strong communication skills
- Strong collaboration skills, ability to work with engineering and operations teams.
- A continuous learning attitude and a problem solving mind-set
Good to have -
- Knowledge of energy markets, regulations, and utility operation.
- Working knowledge of cloud platforms (e.g., AWS, Azure, GCP).
- Broad understanding of data structures and data engineering.
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, eciency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.
Roles and Responsibilities
1. Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.
2. Ideate, design, and implement program that focused on post-training support for mental health first-aiders.
3. Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).
4. Oversee and facilitate MHFAI instructors for training and upskilling.
5. Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.
6. Draft and initiate scientific research, and create tools required at workplace to measure mental health.
7. Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.
8. Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.
9. Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.
10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.
11. Provide support in other operational functions of MHFA as needed.
Requirements:
· 10-15 years in clinical work and / or mental health training
· Qualification: Education in Mental Health
· Experience in Clinical Practice / Research
· Exposure to mental health training and created content or training on Mental Health for Adult
· Experience of having previously worked in organized group is desirable
at Tiger Analytics
Job brief
We are looking for a Lead Data Scientist to lead a technical team and help us gain
useful insight out of raw data.
Lead Data Scientist responsibilities include managing the data science team, planning
projects and building analytics models. You should have a strong problem-solving ability
and a knack for statistical analysis. If you’re also able to align our data products with our
business goals, we’d like to meet you.
Your ultimate goal will be to help improve our products and business decisions by
making the most out of our data.
Responsibilities
● Conceive, plan and prioritize data projects
● Ensure data quality and integrity
● Interpret and analyze data problems
● Build analytic systems and predictive models
● Align data projects with organizational goals
● Lead data mining and collection procedures
● Test performance of data-driven products
● Visualize data and create reports
● Build and manage a team of data scientists and data engineers
Requirements
● Proven experience as a Data Scientist or similar role
● Solid understanding of machine learning
● Knowledge of data management and visualization techniques
● A knack for statistical analysis and predictive modeling
● Good knowledge of R, Python and MATLAB
● Experience with SQL and NoSQL databases
● Strong organizational and leadership skills
● Excellent communication skills
● A business mindset
● Degree in Computer Science, Data Science, Mathematics or similar field
● Familiar with emerging/cutting edge, open source, data science/machine learning
libraries/big data platforms
- Knowledge on CAMPUS LAN Architecture and implementation
- Having exposure to Cisco’s latest technologies like SDA, DNAC
- Hand-on experience on designing and implementing Cisco SDA
- Strong Routing & Switching, Cisco SDA, DNAC, Cisco ISE skillset is a must.
- Hands On expertise on Cisco Prime, ISE, Cisco Meraki
- Hands on and troubleshooting SDA
- Experience on L 3
- A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
- Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
- Mentor and coach other team members
- Evaluate the performance of NLP models and ideate on how they can be improved
- Support internal and external NLP-facing APIs
- Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
- Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioral Skills
Strong analytical and problem-solving capabilities.
- Proven ability to multi-task and deliver results within tight time frames
- Must have strong verbal and written communication skills
- Strong listening skills and eagerness to learn
- Strong attention to detail and the ability to work efficiently in a team as well as individually
Technical Skills
Hands-on experience with
- NLP
- Deep Learning
- Machine Learning
- Python
- Bert
Preferred Requirements
- Experience in Computer Vision is preferred
The Sales Associate is responsible for reaching out to potential leads through LinkedIn Sales Navigator and email to generate sales opportunities. This role requires a proactive and organized individual with strong communication skills and a goal-oriented approach.
Key Responsibilities:
1. Lead Generation: - Utilize LinkedIn Sales Navigator to identify potential leads within the target market. - Create and maintain a list of leads with detailed information for further engagement.
2. Messaging on LinkedIn Sales Navigator: - Craft personalized and compelling messages to initiate conversations with leads. - Engage with leads by showcasing the value of the company's products or services. - Establish and maintain professional and meaningful connections on LinkedIn.
3. Email Outreach: - Develop effective email templates and messaging strategies to contact leads. - Send personalized emails to leads, introducing the company's offerings and benefits. - Follow up with email communications to nurture leads and move them through the sales funnel.
4. Lead Qualification: - Gather essential information from leads to determine their level of interest and potential as sales prospects. - Assess and categorize leads based on predefined criteria.
5. Data Management: - Maintain accurate and up-to-date records of all interactions with leads. - Keep track of response rates and lead progress, providing regular reports to the sales team.
Qualifications:
- Strong written and verbal communication skills.
- Proficiency in LinkedIn Sales Navigator and email outreach tools.
- Adept at data entry and record-keeping.
- Adaptable, with a willingness to learn and adapt to changing market conditions.
- Strong communication skills and the ability to build professional relationships.
French Multinational Information Technology Services
What will you be doing?
- Create test plans, test cases, and test strategy
- Provide full-stack support for existing and new tools
- Performance Testing of mobile applications
What do we expect from you?
- Bachelor’s degree in Computer Science or equivalent practical experience.
- 3-5 years of relevant work experience.
- Solid understanding of Quality Assurance methods and practices.
- Deep understanding of manual and automated testing concepts.
- Proficiency in any open-source Automation Framework
- Experience in testing mobile applications
- Demonstrated experience in test framework design and development.
- Strong Software development fundamentals including OOPs, general Algorithms, etc.
- Computer fundamentals, analytical and problem-solving skills.
- Comfortable working in a fast-paced, highly collaborative, dynamic work environment
- Excellent communication, collaboration, reporting, analytical and problem-solving skills.
- Experience in Shell scripting or familiarity with CLI is a plus
About the Company:
Torre Capital (https://www.torre.capital/) is a VC funded Singapore based Financial Technology company and a Registered Fund Manager in Singapore. We are creating a fully digital Wealth-Tech to connect family offices and HNI investors with global opportunities, including alternative assets like Private Equity, Venture Capital, Real Estate Funds, and Hedge Funds. We also offer our investors the ability to invest in high-quality global growth startups, private debt opportunities, and other liquid opportunities (Equity baskets, structured products, etc.). Our team comprises of ex-Mckinsey consultants, Asset management veterans, and Digital experts. We are backed by prestigious VC firms and a network of angels and industry leaders.
Role:
Digital Sales Manager with experience in Financial Services Sales in that particular city. Role reports to Sr. Wealth Manager / Sr. Digital Wealth Manager.
Experience:
Candidates with experience Fintech Space / B2B sales-digital sales in large Tech Startups and with existing network of HNIs
Location:
Mumbai / Ahmedabad/ Bangalore/ Kolkata / Chennai/ Hyderabad / Pune / Jaipur / Surat / Rajkot/ Gurgaon / Noida / Chandigarh / Kochi (Cochin) / Vizag
Role Description:
- You work with the City’s biggest family offices and HNIs to onboard and activate them as our investors.
- Leading our outreach initiative, developing relations with new partners and building firm commitments for collaboration
- Negotiating attractive partnership deals and ensuring mutually beneficial partnership terms that are in line with business objectives and strategy.
- Maintaining and deepening relationships with existing partners.
- Conceptualizing and leading initiatives that give way to potential new revenue channels.
- Developing metrics to measure ROI from the synergies forged.
- Liaising with cross functional teams to create successful outcomes for both the business and its partners.
Qualifications:
- You have a Masters in Business Administration or related discipline from a top tier college or university
- You have at least 2- 5 years experience within a strategic engagements, partnerships & alliances, B2B account management or similar roles.
- You are aware of & are intersted in the FinTech ecosystem.
- You possess excellent interpersonal as well as written and verbal communication skills.
- You have a proven track record of meeting/exceeding your targets in your previous roles.
- You have a strong experience within consultative sales and possess the ability to prospect and manage senior level relationships.
What We Offer:
To start with, what we give is a market sustenance compensation and no benefits. If you continue post the first 6 months, we offer a market comp AND performance linked bonus. We firmly believe in the partnership model and any success will be equitably shared. What is on the plate is an entrepreneurial opportunity to build a fintech from scratch, an independent environment where everyone is a co-owner, and a strong team of equally talented individuals. Folks looking for a large paycheck on Day 1 kindly excuse.
- B.E (Aeronautical/Mechanical)/AME
- 1 -3 years experience in Aerospace Technical publications and S1000D, ATA2200 specifications.
- Experience in Engine Manuals (EM/EMM/CR/CIR etc.), Aircraft Maintenance Manuals is preferred.
- Previous use and/or knowledge of Adobe FrameMaker, Quicksilver, and/or Arbortext Editor required.
- Ability to read, analyze, and interpret technical procedures, technical manuals, illustrated parts lists, and schematics. Ability to write technical manuals, procedure manuals, and service bulletins.
- Ability to effectively present information and respond to questions from managers, team members, and customers.
- Familiar with rules and usage of ASD STE 100.
- Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
- Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
- Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form..