Data Scientist

Innova Solutions; Greater London; Hybrid; GBP 90,000 - 104,000; Full time

Job summary

Innova Solutions is seeking an experienced Data Scientist for a 24 month contract (Inside IR35) paying up to £50 per hour via umbrella. Location: Hybrid – three in-office days per week in London or Sussex.

You will apply statistics for anomaly detection, time-series baselining, and translate telemetry into decision-ready insights, collaborating with QE, delivery and product teams, and owning data sources through dashboards.

Qualifications

• Python programming and data manipulation for analysis and baselining.
• Experience with time-series data and anomaly detection.
• Ability to transform telemetry into actionable insights for leadership.

Responsibilities

• Apply statistics for anomaly detection and baselining across time-series data.
• Turn raw telemetry into decision-ready insights for leadership and stakeholders.
• Own data source → analysis → dashboard workflows end-to-end.

Skills

Python

Time-series analysis

Data visualization

Stakeholder communication

Pandas

NumPy

Streamlit

API/SQL data integration

Snowflake

OpenSearch

REST sources

Plotly

Matplotlib

Seaborn

AWS

Docker

Kubernetes

CI/CD

JWT

Cryptography

pytest

Tools

Python

Pandas

NumPy

Streamlit

Snowflake

OpenSearch

REST APIs

Plotly

Matplotlib

Seaborn

AWS

Docker

Kubernetes

CI/CD

JWT

Cryptography

pytest

Job description

Data Scientist

24 month contract

Inside IR35 – Paying up to £50 per hour via umbrella.

Location: Hybrid – 3 days per week in office in London or Sussex

We are seeking an experienced, Data Scientists who will need to be able to:

• Apply statistics for anomaly detection (rolling median + MAD z-score, thresholds); scipy a plus
• Time-series think: daily/weekly/monthly frequency-aware baselining
• Turns raw telemetry into decision-ready insights (not deep ML, but solid quantitative reasoning)
• Understands mobile app Kis across Bookings, Adoption, Engagement, App Health, Card Member Voice, Quality Engineering
• Be familiar with iOS/Android store metrics, crash/stability, QE/regression concepts
• Translates leadership questions into metrics and views
• Provide senior-level ownership within an established layered architecture; respects design principles (no business logic in Ul, filter-agnostic analysis)
• Contribute to and follows Architecture Decision Records (ADRs)
• Own features end-to‑end: data source → analysis → dashboard
• Communicates data-driven findings clearly to leadership and non‑technical stakeholders
• Works cross‑functionally with QE, delivery, and product teams

You will need experience working with:

• Strong Python 3.11+, pandas, NumPy for data transformation and time-series work
• Streamlit dashboard development (multi-page, session state, query-param nav)
• API/SQL data integration (Snowflake, OpenSearch, REST sources)
• Visualization: plotly, matplotlib, seaborn
• AWS (boto3, S3/Parquet), Docker, Kubernetes, CI/CD
• Secrets/auth (JWT, cryptography, proxy handling); testing with pytest