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Senior Data Scientist
AtkinsRealis
posted 5d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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.
Employment Type: Full Time, Permanent
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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
54%
less
than the average Senior Data Scientist Salary in India
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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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