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Senior Data Scientist
Premium Job From SSE
Recruiter: SSE
Listed on: 14th June
Location: Reading
Salary/Rate: £41000 - £62000
Type: Permanent
Start Date:
Reference: 520774_1560506500
Contact Name: SSE Plc

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Location: Reading or HavantSalary: up to £62000 depending on skills and experience + annual bonusFull Time Hours with flexible working patterns available Our Role This is an opportunity for an experienced and talented Data Scientist to join our expanding team in this hands-on Data Science role, working closely with the SSE businesses on some of the most demanding, high-profile data science problems in energy. Youll build innovative proof of concepts for complex industrial problems across our key business units, including: Generation (Hydro, Offshore wind, Onshore wind, Gas, Coal): Transmission; Distribution (including Smart Grid), Trading, B2B supply, Enterprise (including Smart cities, Telco, Rail).As part of the wider Data and Analytics (DnA) team, we work in small agile teams, applying state-of-the-art techniques from data science, machine learning, artificial intelligence and decision optimization to discover value from data for our businesses as well as building advanced data visualizations. We carry out short term initiatives using a light-weight agile process.Were building an advanced cloud analytics platform and use a variety of data sources ranging from IOT sensor data, geospatial, weather, lidar, fault and maintenance, to telematics and use advanced supporting technologies including GIS systems and PAAS machine learning services. Our future strategy is to provide scalability through trusted DnA partners, and to support federated data science capability within the business units themselves.Your Skills and ExperienceWe need you to have a passion for Data Science and AI combined with the ability to communicate insights to the business and senior executives to help build winning business strategies. Youll already be applying data science / machine learning / AI to solve business problems, ideally within the energy or engineering sector, and this will be based on a Degree in Mathematics, Physics, Computer Science, Engineering or a related quantitative discipline, plus a MSc or PhD in a related subject such as Data Science or Artificial Intelligence, or equivalent knowledge developed through training or professional experience.Evidence of continued development through online courses, meetups or equivalent is also highly desirable.Technically, youll bring very strong experience in the majority of the following: Machine learning (Supervised, Unsupervised, scikit-learn); Deep Learning (Tensorflow/Keras); Python (Pandas, Numpy, PySpark, Jupyter); Git; Tableau or equivalent; SQL; Artificial Intelligence/cognitive services.It would be an advantage if you also have knowledge and experience of: Automated descriptive analytics; Geospatial data science / visualization; Azure or similar cloud; Azure ML Services or similar PAAS ML; Anomaly detection; GIS; Diagnostics; NoSQL; Graph database; decision augmentation/automation e.g. Heuristic Optimization/ Reinforcement Learning; optimization/planning/scheduling; Apache Spark.Intellectually curious, youll also demonstrate excellent interpersonal and communication skills with the ability to present complex ideas to technical and non-technical audiences at all levels. Were looking for a collaborative team player, with a professional and positive attitude who will be able to play a key part in our Data Science team.Our CompanyWe all have different skills here at SSE and thats what makes us stand out. We all take pride in a job well done and share the belief that an inclusive culture is key to our success and vision for the future. Passionate about people and proud of our award-winning customer service, we go to great lengths to extend these values to our employees. This enables our diverse workforce the flexibility and opportunity of developing to their full potential. Above all, safety is at the heart of everything we do at SSE and we live by the mantra 'if its not safe, we dont do it.Our BenefitsWe have an excellent benefits package as part of our offering. Heres a few highlights;- Generous holiday allowance (you can even buy additional holidays)- Great share plans- Group Pension Plan- One day paid volunteering- Tailored internal development opportunitiesNext StepsJust click the Apply button to submit your application, it doesnt take long.For more information about this role, or to discuss any adjustments required to support your application please get in touch: /sse.Closing date for applications is: Sunday 30 June 2019This vacancy is open to internal and external candidates. If youre internal, please notify your line manager before you submit your application. If youre successful, well conduct some pre-employment checks