AI Scientist
7 days ago
Job Description – AI Scientist (Budgeting & Predictive Analytics)
About the Role
We are looking for an exceptional
Lead AI Scientist (PhD holder)
to design and develop an
AI-powered budgeting and forecasting engine
that can deliver accurate predictions with minimal data inputs. This role goes beyond a single product: you will act as the
AI brain of the organization
, shaping and scaling AI solutions across multiple business platforms.
Key Responsibilities
- AI Engine Development
- Research and implement advanced algorithms for
budget forecasting, resource prediction, and financial trend modeling
. - Build models that can generate insights from
structured and unstructured datasets
, enabling predictive accuracy and automation. - Create optimization frameworks to minimize risks such as cost overruns, inefficiencies, or process delays.
- Integration & Productization
- Work closely with engineering teams to
embed AI into real-time applications
. - Develop scalable APIs and services that integrate seamlessly with existing enterprise tools and external systems.
- Research & Innovation
- Stay at the forefront of
AI/ML advancements
in predictive analytics and automation. - Explore applications of
generative AI and large language models
for insights, automated reporting, and decision support. - Propose and lead new AI-driven initiatives to expand product capabilities and business impact.
- Leadership
- Serve as the
AI thought leader
across the organization. - Mentor data scientists and engineers, and align AI strategy with business goals.
- Represent the company in research publications, patents, and conferences where relevant.
Qualifications
- PhD in Computer Science, Artificial Intelligence, Data Science, Operations Research, or related field
(mandatory). - Strong expertise in
machine learning, optimization, and predictive modeling
. - Proven track record in building AI solutions for:
- Budgeting and forecasting
- Resource planning and optimization
- Time-series modeling and prediction
- Proficiency in
Python, PyTorch, TensorFlow, Scikit-Learn, SQL
. - Experience handling
large-scale datasets, API integrations, and cloud platforms (AWS/Azure/GCP)
. - Research publications or patents in AI/ML are a plus.
Preferred Skills
- Experience with
financial systems, ERP tools, or enterprise analytics platforms
. - Familiarity with
natural language processing and generative AI
for reporting/decision support. - Strong productization mindset: ability to take research from concept to
production-grade solutions
. - Entrepreneurial drive with the ability to influence
long-term AI strategy
.
Why Join Us
- Opportunity to be the
architect of the company's AI future
. - Lead groundbreaking research while building
real-world AI applications
. - Shape the
AI roadmap
across multiple products and business domains. - Competitive compensation with scope for
leadership growth and innovation freedom
.
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