Senior Data Scientist - Careers at Leidos
Leidos
Senior Data Scientist - Careers at Leidos
Job Description
Senior Data Scientist
Join Leidos on the LCST programme in Bristol, with occasional travel. Unleash your potential applying advanced analytics, statistics, and machine learning to UK Government programmes.
Key Responsibilities
- Design, develop, and validate statistical and ML models.
- Perform exploratory data analysis and feature engineering.
- Collaborate on high-quality data pipelines with engineers.
- Deliver clear recommendations to stakeholders.
- Contribute to roadmaps, risk mitigation, and model deployment.
- Mentor juniors and ensure ethical AI practices.
Required Skills
- Proven data science/ML experience.
- Expertise in Python and ML libraries.
- Strong statistics and large dataset handling.
- Agile teamwork and communication skills.
Desired Skills
- Cloud ML (AWS SageMaker, Azure ML).
- MLOps, NLP/deep learning, visualisation tools.
- Government or regulated sector experience.
Clearance & Rewards
BPSS to start, SC for role. Enjoy pension, private medical, 33 days leave, flexible benefits, and work-life balance in a collaborative culture committed to diversity.
Shape analytical capabilities on high-impact projects. Apply now!
Locations
- Bristol, Gloucestershire, United Kingdom
Salary
Estimated Salary Rangehigh confidence
65,000 - 85,000 GBP / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python proficiency (pandas, NumPy, scikit-learn, TensorFlow, PyTorch)intermediate
- Designing, training, and evaluating machine learning modelsintermediate
- Statistical methods, predictive modelling, and experimental designintermediate
- Exploratory data analysis, data cleansing, and feature engineeringintermediate
- Communicating analytical concepts to non-technical stakeholdersintermediate
- Agile delivery environment experienceintermediate
- Cloud-based ML services (AWS SageMaker, Azure ML, Databricks)intermediate
- MLOps practices and model lifecycle managementintermediate
- NLP, deep learning, or computer visionintermediate
- Data visualisation tools (Power BI, Tableau)intermediate
- Big-data technologies (Spark, Hadoop)intermediate
Required Qualifications
- Experience in data science, machine learning, or applied analytics (experience)
- SC clearance (or ability to obtain) (experience)
- BPSS clearance to start (experience)
- AWS certifications (desired) (experience)
Responsibilities
- Design, develop, and validate statistical models and machine learning solutions
- Conduct exploratory data analysis and feature engineering for insights
- Collaborate with data engineers on scalable data pipelines
- Translate findings into actionable recommendations for diverse audiences
- Support analytical roadmaps, risk identification, and mitigation
- Operationalise and monitor models in production
- Evaluate emerging tools, frameworks, and methodologies
- Provide guidance and mentorship to junior data scientists
- Ensure ethical, secure use of data and AI
Benefits
- general: Contributory Pension Scheme
- general: Private Medical Insurance
- general: 33 days Annual Leave (including public and privilege holidays)
- general: Flexible benefits (life assurance, health schemes, gym memberships, holiday buy/sell, cycle to work)
- general: Flexible Working Scheme
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Senior Data Scientist - Careers at Leidos
Leidos
Senior Data Scientist - Careers at Leidos
Job Description
Senior Data Scientist
Join Leidos on the LCST programme in Bristol, with occasional travel. Unleash your potential applying advanced analytics, statistics, and machine learning to UK Government programmes.
Key Responsibilities
- Design, develop, and validate statistical and ML models.
- Perform exploratory data analysis and feature engineering.
- Collaborate on high-quality data pipelines with engineers.
- Deliver clear recommendations to stakeholders.
- Contribute to roadmaps, risk mitigation, and model deployment.
- Mentor juniors and ensure ethical AI practices.
Required Skills
- Proven data science/ML experience.
- Expertise in Python and ML libraries.
- Strong statistics and large dataset handling.
- Agile teamwork and communication skills.
Desired Skills
- Cloud ML (AWS SageMaker, Azure ML).
- MLOps, NLP/deep learning, visualisation tools.
- Government or regulated sector experience.
Clearance & Rewards
BPSS to start, SC for role. Enjoy pension, private medical, 33 days leave, flexible benefits, and work-life balance in a collaborative culture committed to diversity.
Shape analytical capabilities on high-impact projects. Apply now!
Locations
- Bristol, Gloucestershire, United Kingdom
Salary
Estimated Salary Rangehigh confidence
65,000 - 85,000 GBP / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python proficiency (pandas, NumPy, scikit-learn, TensorFlow, PyTorch)intermediate
- Designing, training, and evaluating machine learning modelsintermediate
- Statistical methods, predictive modelling, and experimental designintermediate
- Exploratory data analysis, data cleansing, and feature engineeringintermediate
- Communicating analytical concepts to non-technical stakeholdersintermediate
- Agile delivery environment experienceintermediate
- Cloud-based ML services (AWS SageMaker, Azure ML, Databricks)intermediate
- MLOps practices and model lifecycle managementintermediate
- NLP, deep learning, or computer visionintermediate
- Data visualisation tools (Power BI, Tableau)intermediate
- Big-data technologies (Spark, Hadoop)intermediate
Required Qualifications
- Experience in data science, machine learning, or applied analytics (experience)
- SC clearance (or ability to obtain) (experience)
- BPSS clearance to start (experience)
- AWS certifications (desired) (experience)
Responsibilities
- Design, develop, and validate statistical models and machine learning solutions
- Conduct exploratory data analysis and feature engineering for insights
- Collaborate with data engineers on scalable data pipelines
- Translate findings into actionable recommendations for diverse audiences
- Support analytical roadmaps, risk identification, and mitigation
- Operationalise and monitor models in production
- Evaluate emerging tools, frameworks, and methodologies
- Provide guidance and mentorship to junior data scientists
- Ensure ethical, secure use of data and AI
Benefits
- general: Contributory Pension Scheme
- general: Private Medical Insurance
- general: 33 days Annual Leave (including public and privilege holidays)
- general: Flexible benefits (life assurance, health schemes, gym memberships, holiday buy/sell, cycle to work)
- general: Flexible Working Scheme
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs