Data Scientist

Innova Solutions; City Of London; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

Innova Solutions is seeking an experienced Data Scientist for a 24-month contract with Inside IR35 terms. The role is hybrid, requiring three days in the London or Sussex office, with an hourly rate up to £50 via umbrella.

You will apply statistics, time-series baselining, and data storytelling to drive decision-making. You will work with Python (3.11+), pandas, NumPy, and Streamlit to build dashboards, integrate data from Snowflake/OpenSearch, and deliver insights to leadership and

Qualifications

• Strong Python 3.11+ experience with data transformation and time-series.
• Ability to build analytics dashboards (Streamlit) and publish insights for leadership.
• Experience integrating data from API/SQL sources and visualizing results.

Responsibilities

• Own data source → analysis → dashboard end-to-end.
• Translate leadership questions into metrics and clear views for stakeholders.
• Collaborate with QE, delivery and product teams to deliver data-driven outcomes.
• Communicate findings clearly to non-technical audiences.

Skills

Python

Pandas

NumPy

Streamlit

SQL

REST APIs

AWS

Plotly

Matplotlib

Seaborn

Time-series

Tools

Snowflake

OpenSearch

Docker

Kubernetes

boto3

S3/Parquet

CI/CD

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