Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist.
If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you’ll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next!
We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud.
As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include:
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Managing end-to-end data science projects, from problem formulation to model deployment.
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Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships.
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Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights.
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Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis.
A taste of what you’ll be doing:
● Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders.
● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI).
● Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value.
● Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights.
● Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight.
● Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team.
A bit about you:
● Minimum 4 years’ hands-on experience as a Data Scientist
● Proven experience managing projects end-to-end, with tangible results.
● Strong communication skills with the ability to engage with non-technical stakeholders.
● Expertise in predictive modeling, segmentation, and AI techniques.
● Proficiency in Databricks and PySpark for data manipulation and analysis.
● Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis.
● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning
● Deep expertise in Python (production-level) and SQL
● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment
● Strong visualisation skills including experience with Tableau
● Familiarity with Git-based source control methodologies, including branching and pull requests
● Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders
Bonus points for:
● While not mandatory, familiarity with the energy sector would be advantageous.
Here’s what else you need to know
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Closing date – Friday 10th May 2024
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We’ll have regular team socials and lively team chats
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Competitive salary
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Location – London with travel to our other sites when required.
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Working environment: Flexible hybrid working – a blend of in the office and home working.
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26 days holiday plus bank holidays each year – this includes a guaranteed day off for your birthday if you want it.
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Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years)
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The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year.
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We’ve exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career.
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For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider
We’re committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone.
We realise the best people bring their energy at different times, so we’re happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
