Senior Data ScientistE.O.N Worldwide • London, England, United Kingdom
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Senior Data Scientist
E.O.N Worldwide
- London, England, United Kingdom
- London, England, United Kingdom
À propos
This role is ideal for someone who understands how data can be used to optimise operations, shape channel demand and support decisions around call demand volume, workforce planning and demand forecasting. You'll work within a matrix organisation, partnering closely with operational, digital and commercial teams to ensure our data platform and analytics products directly support business outcomes.
We're particularly interested in candidates who bring
contact operations domain experience . However, if this is new to you, we also welcome Senior Data Scientists who have grown from an
analyst or strategic insight background , with strong evidence of turning data into
actionable operational and strategic insight .
Operational Focus - Senior Data Scientist Impact
Use data science and analytics to improve customer contact operations, agent performance and end-to-end customer experience
Develop insight and models that support call demand volume forecasting, channel demand optimisation and operational planning
Translate complex operational challenges into scalable, actionable data products
Ensure data, analytics and digital solutions fully support E.ON Next's operational performance and business objectives
Here's a taste of what you'll be doing:
Partner with colleagues across Customer Contact, Operations, Digital and Commercial teams, using a consultative and collaborative approach to understand problems and unlock value through data
Translate operational and business challenges into thoughtful, practical analytics and data science solutions, including demand forecasting, optimisation and predictive modelling
Create metrics, reports and dashboards that tell a clear story, enabling leaders to make confident decisions about customer experience, resourcing and performance
Apply a broad range of techniques, from classical statistical methods and regression through to machine learning, neural networks and AI
Deliver work using best practices in data science, technology architecture and development processes, with a focus on production-ready solutions
Are we the perfect match?
Minimum
4 years' hands-on experience as a Data Scientist , with exposure to
productionised models
Strong business awareness, with a clear understanding of how
contact operations ,
customer experience
and operational decision-making interact
Experience working in cross-functional teams and engaging stakeholders at different levels of the organisation
Ability to turn complex analysis into clear, compelling insights for non-technical audiences
Advanced analytical skills, with experience applying data science, analytics or operational research techniques to real-world business problems
Proficiency in
Python (production-level)
and
SQL ; experience with modern ML/AI libraries such as scikit-learn, TensorFlow or PyTorch
Familiarity with
MLOps , model deployment and cloud platforms such as
Databricks, AWS or Azure
It would be great if you had:
Experience working with
customer contact centres , operations, workforce planning or service environments
Experience analysing
channel demand ,
call demand volume , or operational performance data
Background in
strategic insight, strategic analysis or advanced analytics , particularly if you previously worked as an analyst
Experience in the
energy or retail sector
Degree (BSc or MSc) in a quantitative or technical discipline (Statistics, Mathematics, Physics, Computer Science, Machine Learning)
Questions about this role? Reach out to
Here's what else you need to know:
Role may close earlier due to high applications.
Location -
London
E.ON Next, 47-53 Charterhouse Street, Farringdon, London, EC1M 6P or
Nottingham
- E.ON Next office, Trinity House, 2 Burton St, Nottingham NG1 4BX - with travel to our other sites when required.
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Compétences linguistiques
- English
Avis aux utilisateurs
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