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proSapient
London, United Kingdom
Full-time
Hybrid
No Salary Information Available
Posted 38 days ago
About ProSapient
ProSapient aids consulting and private equity firms in making informed decisions by connecting them with industry experts through interviews or surveys, curated on a leading software platform.
About the Role
The Senior Data Scientist role exists to spearhead AI/ML initiatives that enhance business impact and refine complicated challenges into precise data science solutions.
Responsibilities
- Develop AI/ML solutions for business problems using advanced models like OpenAI and Amazon Comprehend.
- Design experiments with datasets for evaluating model performance focusing on business impact.
- Collaborate with engineering teams to build scalable AI/ML infrastructure and optimize models in production.
- Drive innovation by exploring advancements in LLMs and AI.
- Communicate insights effectively to technical and non-technical stakeholders.
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Benefits
- Remote work flexibility for up to 20 days annually.
- Tenure gifts.
- Employee Assistance Programme for personalized advice and support.
- Enhanced maternity and paternity pay.
- 25 days of annual leave plus bank holidays and a Christmas period closure.
- MyMindPal app for mental fitness support.
- Corporate events, including quarterly gatherings and annual parties.
Requirements
- Expertise in ML/NLP for semantic search, recommendation systems, and information retrieval.
- Experience with ML-Ops workflows and deployment of models.
- Proficiency in Python and frameworks like pandas, kedro, and kafka streams.
- Knowledge of backend development for deploying production models.
- Strong communication skills for presenting complex technical concepts.
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Preferred Skills
- Experience with LLMs, prompt engineering, and AI agents.
Diversity and Inclusion
ProSapient is committed to diversity and inclusion, encouraging applications even if not all qualifications are met. They offer equal opportunity employment without discrimination based on various protected characteristics. Employment decisions are based on qualifications, merit, and business need. Candidates undergo thorough screening and pre-employment checks.
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