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Senior Applied Data Scientist / ML Engineer
Contract type
Ongoing
Work mode
Remote
Experience
Senior · 5+ years
Job description
A product-minded applied data scientist or engineer role at WorkWave, turning raw operational data into ML-powered products that improve how customers make decisions and run their businesses. The role owns problems end to end, from framing and data building through deployment, monitoring and measuring customer impact.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote
What you'll do
- Take an ambiguous customer problem, decide whether ML is even the right answer, build it, and stay with it until customers are acting on it
- Get fluent in the semantics of how customers operate—what a route, a crew, or a service history actually means
- When the features don't exist, create them in Snowflake and dbt rather than waiting for someone else to
- Decide how a prediction reaches the customer so they understand it, trust it, and act on it—then report realised impact back to Product and the business in numbers that hold up
- Define offline and online evaluation for model quality, drift, and reliability, and design the A/B tests or causal analyses that prove a feature improved customer outcomes
- Ship and operate: deployment, testing, versioning, monitoring, and drift detection
- Partner with Product Managers and Software Engineers to put ML inside real product workflows—and say clearly when ML isn't the answer
- Build with coding agents: set direction and targets, review output critically, and build the harnesses—scaffolding, context, tests, review loops—that make the next model faster to ship
What we're looking for
- 5+ years in applied data science, ML engineering, or data engineering that included owning models in production—including at least one model you built and shipped into a real product
- Strong Python and applied ML libraries for tabular problems (scikit-learn, XGBoost or LightGBM, statsmodels or Prophet)
- Solid SQL expertise
- Depth in supervised learning, forecasting, ranking, recommendation, or optimisation
- You have modelled messy operational data, not benchmark datasets
- You build the data you need and ship what you build—dbt and Snowflake modelling, feature pipelines, deployment, monitoring, and drift detection
- You've quantified the business impact of a model you shipped—adoption, outcome, ROI—and presented it to people who were never going to read your notebook
- Excellent communication skills with the ability to explain complex technical trade-offs clearly to product, engineering, and non-technical business stakeholders
- Applicants must currently have the legal right to work in the UK
Nice to have
- B2B SaaS experience
- You've used coding agents on real modelling or engineering work, you can tell correct output from merely plausible output, and you invest in the scaffolding that makes the next model faster to ship
- Experience with decision intelligence, forecasting, customer behaviour modelling, workforce/route optimisation, or operational intelligence products
- Prior experience as a senior or lead scientist or engineer responsible for guiding technical direction
- LLM or agentic workflows shipped into a product
Benefits
- Competitive company pension scheme with employer match
- Generous holiday allowance / flexible time off plus UK bank holidays
- Enhanced maternity, paternity, and parental leave policies
- Ongoing learning resources
- Comprehensive Employee Assistance Programme (EAP) providing free 24/7 mental health, legal, and financial guidance
Apply
About WorkWave
Key facts
- Laid back but focused: flexible, collaborative work environment and a passion for developing innovative, best-in-class solutions that directly contribute to the success of our customers
- Impact-driven: delivers services and solutions that make a real difference in the lives of clients and their businesses
- Trust & Inclusion: openly accepts others as they are and builds strong partnerships based on trust and mutual respect
What they value
- Laid back but focused
- Impact-driven
- Trust & Inclusion