Data Scientist- Gen AI

Direct message the job poster from Scrumconnect ConsultingOverview

We’re hiring a

Data Scientist with strong Generative-AI experience

to design, build, and ship AI-powered tools end-to-end. You’ll work in a small, multi-disciplinary team and take ownership from discovery to deployment: scoping use-cases, building prototypes, hardening them for production, and putting the right evaluation and governance around them.What you’ll do

Build GenAI tools end-to-end

(independently): chat/assistants, document QandA (RAG), summarisation, classification, extraction, and workflow/agent automations.Own evaluation and safety : create offline/online eval sets, measure faithfulness/hallucination, bias, safety, latency and cost; add guardrails and red-teaming.Productionise : package as services/APIs or lightweight apps (e.g., Streamlit/Gradio/React), containerise, and integrate via CI/CD.Data pipelines : design chunking/embedding strategies, pick vector stores, manage prompt/versioning, and monitor drift and quality.Model strategy : select and mix providers (hosted and open-source), fine-tune where it’s sensible, and optimise for cost/perf/privacy.Stakeholder enablement : translate problems into measurable KPIs, run discovery, document clearly, and hand over maintainable solutions.Good practice : apply data ethics, security and privacy by design; align to service standards and accessibility where relevant.Tech you’ll likely use

LLM frameworks : LangChain, LlamaIndex (or similar)Cloud and Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CIData and MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have)Front ends (for internal tools) : Streamlit / Gradio / basic ReactMust-have experience

7+ years

in Data Science/ML, including

hands-on delivery of GenAI products

(not just PoCs).Proven ability to

ship independently : from idea ? prototype ? secure, supportable production tool.Strong

Python and SQL ; solid software engineering habits (testing, versioning, CI/CD).Practical LLM skills: prompt design,

RAG , tool/function calling,

evaluation and guardrails , and prompt/model observability.Sound grasp of

statistics/experimentation

(A/B tests, hypothesis testing) and communicating impact to non-technical audiences.Data governance, privacy and secure handling of sensitive data.Nice to have

Experience in regulated or public-sector-like environments.Front-end skills to craft usable internal UIs.How to apply

Send your CV (referencing

DS-GENAI ) to the Recruitment Team. Shortlisted candidates will complete a brief technical exercise or portfolio walk-through focusing on

a GenAI tool you built and shipped .Seniority level

Mid-Senior levelEmployment type

ContractJob function

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