At a Glance
- Tasks: Lead innovative GenAI projects and transform data into actionable insights.
- Company: Join a forward-thinking tech company focused on AI solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement.
- Why this job: Make a real impact in the AI space while collaborating with talented teams.
- Qualifications: 4+ years in IT strategy or Data Science; strong skills in Python and Generative AI.
The predicted salary is between 70000 - 90000 £ per year.
As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives.
Qualifications:
- 4+ years experience in IT strategy and consulting, professional software development or Data Science product organisation.
- A bachelor's or master's degree in computer science, Engineering, or a related field, preferably with a focus on artificial intelligence, machine learning, or data science.
- Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders.
- Strong technical expertise in Generative AI, Data Science and Machine Learning.
- A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment.
- Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation.
- Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality.
- Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes.
- Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex.
- Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) – RAG is a must!
- Experience in the organization of workshops at peer level and facilitating meetings.
- Ability to work autonomously while contributing effectively as part of a team.
- Strong business acumen; can frame complex problems in appropriate business contexts.
- Highly professional and rigorous, results-oriented, driven and hard-working.
- Have excellent verbal and written communication skills in English.
- Loyal and reliable, possessing the highest ethical standard.
- Good interpersonal skills but also judgement independency and autonomy.
- Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders.
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