Job Description
12+ years in data science, applied ML, or advanced analytics in enterprise environments Demonstrated experience extracting meaningful signals from high-volume, high-noise telemetry or behavioural datasets Proficiency in Python (pandas, scikit-learn, PySpark) and statistical modelling Experience building structured, repeatable analytical frameworks — use case scoring, feasibility assessments, or prioritisation models — not purely ad hoc analysis Background in designing feedback loops or iterative learning models that improve future analytical outcomesExperience assessing data quality and coverage sufficiency before committing analytical investment to a use case identifying key entity relationships, behavioural patterns, and signal clusters to be encoded in the graph Comfortable operating in ambiguous, early-stage data environments where frameworks need to be built from scratch Experience collaborating with process or operational teams — translating data signals into process-level insights Familiarity with process mining, task mining, or workforce analytics advantageous Hands on experience in Python libraries of pm4py e.g. Petri Net and Display Hands on databricks experience, including notebooks, creating pipelines and visualisations Knowledge of NLP and applying it to data quality Structured, documented output discipline — scoring models, ranked inventories, and feasibility assessments suitable for senior review Strong remote communication and collaboration skills with onsite UK leads and Client Lead Technical solutioning of Data Science Use Cases Nice to have: LLM, OCR, RAG based architecture
Solution Architect in London employer: Wipro Europe
As a leading employer in the cryptography sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values expertise in cutting-edge technologies like HSM platforms and PKI architecture. Located in a vibrant tech hub, we provide our team with unique advantages such as access to industry-leading projects and a supportive community that encourages professional development.
