Sr. Staff Data Scientist leading technology initiatives for advanced manufacturing at Northrop Grumman. Developing architectures for digital technologies and providing technical leadership in engineering solutions.
About the role
- Senior Data Scientist building intelligent AI solutions at Solirius Reply. Collaborating across teams to transform data into impactful insights and enhance product offerings.
Responsibilities
- Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems).
- Explore, cleanse, and transform large structured and unstructured datasets.
- Conduct statistical analysis, experiment design, feature engineering, and model evaluation.
- Build scalable data pipelines and automate model training and inference processes.
- Collaborate with engineering teams to integrate models into production systems.
- Monitor model performance, detect drift, and implement continuous improvement strategies.
- Communicate complex findings clearly to both technical and non-technical stakeholders.
- Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products.
Requirements
- Experience in machine learning, data science, or applied AI roles.
- Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistics, ML algorithms, and model evaluation techniques.
- Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines.
- Ability to analyse large datasets and communicate insights effectively.
- Experience with LLMs, generative AI, and prompt engineering.
- Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow).
- Familiarity with SQL, NoSQL, and distributed data technologies.
- Experience deploying AI models in production environments.
- Publications, patents, or open-source contributions in ML/AI.
Benefits
- Competitive Salary
- Bonus Scheme
- Private Healthcare Insurance
- 25 Days Annual Leave + Bank Holidays
- Up to 10 days allocated for development training per year
- Enhanced Parental Leave
- Paid Fertility Leave (5 Days)
- Statutory & Contributory Pension
- EAP with Help@Hand
- Gym Membership Benefits
- Flexible Working
- Annual Away Days/Company Socials
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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