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Senior Data Scientist
7-10 years
Gurgaon / Gurugram, Bangalore / Bengaluru
1 vacancy
Senior Data Scientist
AtkinsRealis
posted 3mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Job Description:
Location: Bangalore/GGN (70% Work from Office)
Employment Type: Full-time
Job Summary:
We are looking for a Senior Data Scientist with extensive experience in Predictive Analytics and Generative AI. The ideal candidate will have around 10+ years of experience and a strong foundation in machine learning, statistical modeling, and deep learning. In this role, you will design and implement AI models that drive data-driven decision-making and innovative solutions across various applications.
Key Responsibilities:
- Model Development: Design, develop, and deploy advanced predictive models using machine learning techniques to forecast trends, behaviors, and outcomes.
- Generative AI Solutions: Lead the design and implementation of generative AI models (e.g., GANs, VAEs) to create synthetic data, text, images, or other content based on project requirements.
- AI Research Innovation: Stay up to date with the latest developments in AI and machine learning, including state-of-the-art generative and predictive modeling techniques, to continuously innovate and improve existing systems.
- End-to-End Projects: Work on end-to-end AI/ML projects from data collection, processing, feature engineering, model training, and evaluation to production deployment.
- Model Evaluation: Ensure model accuracy and robustness by performing rigorous testing and fine-tuning using advanced validation techniques and continuous monitoring.
- Mentorship: Provide guidance and mentorship to junior data scientists and data engineers within the team.
Required Qualifications:
- Bachelor s/Master s/PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 10+ years of experience in data science, machine learning, and AI.
- Strong expertise in predictive modeling techniques such as regression analysis, time series forecasting, classification, and clustering.
- Hands-on experience with Generative AI models (GANs, VAEs, etc.) and experience in generating synthetic data, images, or text.
- Proficiency in programming languages like Python, R, and frameworks such as TensorFlow, PyTorch.
- Experience with deep learning architectures like CNNs, RNNs, Transformers, and attention-based models.
- Experience with cloud platforms (e.g., Azure or AWS or Google Cloud) for scaling AI models and deploying solutions.
- Strong knowledge of data preprocessing and feature engineering techniques.
- Experience with NLP, computer vision, or similar domains is a plus.
- Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Prior experience with LLMs (Large Language Models) or similar cutting-edge AI technologies.
Soft Skills:
- Strong problem-solving abilities with a strategic mindset.
- Excellent collaboration skills and the ability to work cross-functionally with various teams.
- Strong attention to detail and a commitment to delivering high-quality solutions.
- A passion for continuous learning and staying ahead in AI and machine learning advancements.
Job Description:
Location: Bangalore/GGN (70% Work from Office)
Employment Type: Full-time
Job Summary:
We are looking for a Senior Data Scientist with extensive experience in Predictive Analytics and Generative AI. The ideal candidate will have around 10+ years of experience and a strong foundation in machine learning, statistical modeling, and deep learning. In this role, you will design and implement AI models that drive data-driven decision-making and innovative solutions across various applications.
Key Responsibilities:
- Model Development: Design, develop, and deploy advanced predictive models using machine learning techniques to forecast trends, behaviors, and outcomes.
- Generative AI Solutions: Lead the design and implementation of generative AI models (e.g., GANs, VAEs) to create synthetic data, text, images, or other content based on project requirements.
- AI Research Innovation: Stay up to date with the latest developments in AI and machine learning, including state-of-the-art generative and predictive modeling techniques, to continuously innovate and improve existing systems.
- End-to-End Projects: Work on end-to-end AI/ML projects from data collection, processing, feature engineering, model training, and evaluation to production deployment.
- Model Evaluation: Ensure model accuracy and robustness by performing rigorous testing and fine-tuning using advanced validation techniques and continuous monitoring.
- Mentorship: Provide guidance and mentorship to junior data scientists and data engineers within the team.
Required Qualifications:
- Bachelor s/Master s/PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 10+ years of experience in data science, machine learning, and AI.
- Strong expertise in predictive modeling techniques such as regression analysis, time series forecasting, classification, and clustering.
- Hands-on experience with Generative AI models (GANs, VAEs, etc.) and experience in generating synthetic data, images, or text.
- Proficiency in programming languages like Python, R, and frameworks such as TensorFlow, PyTorch.
- Experience with deep learning architectures like CNNs, RNNs, Transformers, and attention-based models.
- Experience with cloud platforms (e.g., Azure or AWS or Google Cloud) for scaling AI models and deploying solutions.
- Strong knowledge of data preprocessing and feature engineering techniques.
- Experience with NLP, computer vision, or similar domains is a plus.
- Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Prior experience with LLMs (Large Language Models) or similar cutting-edge AI technologies.
Soft Skills:
- Strong problem-solving abilities with a strategic mindset.
- Excellent collaboration skills and the ability to work cross-functionally with various teams.
- Strong attention to detail and a commitment to delivering high-quality solutions.
- A passion for continuous learning and staying ahead in AI and machine learning advancements.
What We Can Offer You:
- Varied, interesting and meaningful work.
- A hybrid working environment with flexibility and great opportunities.
- Opportunities for training and, as the team grows, career progression or sideways moves.
- An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.
Employment Type: Full Time, Permanent
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16%
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8%
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What people at AtkinsRealis are saying
Senior Data Scientist salary at AtkinsRealis
reported by
4
employees
with 2-4
years exp.
₹8.4
L/yr - ₹14
L/yr
55%
less
than the average Senior Data Scientist Salary in India
View more details
What AtkinsRealis employees are saying about work life
based on 1.1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
AtkinsRealis Benefits
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