—
Senior Data Scientist Location: South Manchester – Hybrid (after 3 months) Salary: £50,000 - £65,000 Type: Permanent We are hiring a Senior Data Scientist to join a growing, customer facing data science practice within an established digital transformation consultancy. This business has been running for 20+ years and have a stable customer base, predominantly within the public sector. This hire is part of their plans to double the size of their Data Science function over the next 18 months in order to keep up with customer demand. You will deliver impactful tech for good programmes across Civil Defence, Healthcare, Sustainable Environment and Digital Democracy, working directly with customers to solve complex, high value problems. This is a hands-on role working in a cloud native, delivery focused environment. The Role: • Lead the end-ed design and implementation of complex data science solutions • Own the full lifecycle from design and build through to deployment • Work in agile, multidisciplinary teams alongside Engineers & UCD Specialists • Engage directly with clients, and build trusted practitioner relationships • Mentor junior team members and help structure high quality delivery What we are looking for: • Strong commercial data science experience in Agile environments • Good Python or R skills, writing production ready code • Experience with AWS, Azure or GCP • Experience deploying models into live environments • Experience working with sensitive data and understanding governance best practice • Ability to clearly communicate complex technical outputs to stakeholders Desirable: • NLP experience • Experience deploying Generative AI applications, such as chatbots or RAG systems • Consultancy or professional services background would be advantageous
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| R | llm_hard |
100%
|
| Model Deployment | llm_hard |
100%
|
| RAG (Retrieval-Augmented Generation) | llm_hard |
80%
|
| Google Cloud AI | llm_hard |
80%
|
| AWS (SageMaker, EC2, S3) | llm_hard |
80%
|
| Azure ML | llm_hard |
80%
|
| NLP | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Cross-Functional Communication | llm_soft |
100%
|
| Explaining Complex Ideas Clearly | llm_soft |
100%
|
| Stakeholder Communication | llm_soft |
100%
|
| Mentoring | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Team Leadership | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Senior Data Scientist | extracted | 4530 | 2026-03-22 02:08 | |
| Senior Data Scientist | classified | 394 | 2026-03-21 20:55 | |
| junior data scientist in United Kingdom | gb | processed | 15536 | 2026-03-21 16:54 |
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"job_description": "Senior Data Scientist\n\nLocation: South Manchester – Hybrid (after 3 months)\n\nSalary: £50,000 - £65,000\n\nType: Permanent\n\nWe are hiring a Senior Data Scientist to join a growing, customer facing data science practice within an established digital transformation consultancy. This business has been running for 20+ years and have a stable customer base, predominantly within the public sector.\n\nThis hire is part of their plans to double the size of their Data Science function over the next 18 months in order to keep up with customer demand.\n\nYou will deliver impactful tech for good programmes across Civil Defence, Healthcare, Sustainable Environment and Digital Democracy, working directly with customers to solve complex, high value problems. This is a hands-on role working in a cloud native, delivery focused environment.\n\nThe Role:\n• Lead the end-ed design and implementation of complex data science solutions\n• Own the full lifecycle from design and build through to deployment\n• Work in agile, multidisciplinary teams alongside Engineers & UCD Specialists\n• Engage directly with clients, and build trusted practitioner relationships\n• Mentor junior team members and help structure high quality delivery\n\nWhat we are looking for:\n• Strong commercial data science experience in Agile environments\n• Good Python or R skills, writing production ready code\n• Experience with AWS, Azure or GCP\n• Experience deploying models into live environments\n• Experience working with sensitive data and understanding governance best practice\n• Ability to clearly communicate complex technical outputs to stakeholders\n\nDesirable:\n• NLP experience\n• Experience deploying Generative AI applications, such as chatbots or RAG systems\n• Consultancy or professional services background would be advantageous",
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