Naukrijobs UK
Register
London Jobs
Manchester Jobs
Liverpool Jobs
Nottingham Jobs
Birmingham Jobs
Cambridge Jobs
Glasgow Jobs
Bristol Jobs
Wales Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

Lead Data Scientist

Job LocationSunderland
EducationNot Mentioned
Salary£70,000 - £100,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Unique opportunity to introduce the data science capability for a company thats investing £2 million in growing their tech team.The companyThe largest online bingo website in Europe.Last year, they were acquired by one of the largest businesses on the FTSE 100.They currently have 500 employees.The tech teamTheir tech team is just over 200 in size but theyve just set aside £2 million to grow this team to 250 in the next 12-18 months.Tech is split into 5 teams.

  • Game Studio (90)
  • Platform (30)
  • Player experience (4)
  • InfoSec + IT (25)
  • Data team (8)
They plan to double the data team in the next 12-18 months.Why work hereThey prioritise tech. Its not seen as a cost centre.Theres also a lot of freedom when it comes to what tech they use - its all about using the right tools for the job.Theres a lot of intelligent people who work here so youll be challenged (in a good way).They believe in challenging the status quo.Their employment engagement rate is really high and they make decisions based on employee feedback.Its a very inclusive workplace; theyve just employed a well-being, inclusion and diversity business partner.Role overviewYoull play a crucial role in their data team.Youll guide and manage a team of data scientists while also actively contributing to data-driven decision-making processes.Role purposeTo introduce the data science capability.Youd work closely with engineering, product, strategy and analytical teams to ensure they have the tools and processes they need to deliver on its AI/ML ambition.Office / working from home policyTheyre based in Sunderland at a £8 million tech campus.Youll work from their offices 3 days a week.They do this so that everyone sees each other at least once a week.Benefits
  • Free food & drinks
    • They have an on-site cafe, catering for breakfast and lunch
    • They also have a range of snacks and hot drinks available
  • Dedicated desk
    • They dont believe in hot-desking - everyone has their own desk to use when working in the office
  • Quarterly bonus
    • Up to 10% bonus
  • Additional holidays
    • For every year that you work here, youll get an additional days holiday (up to five days).
  • Private Healthcare
Key ResponsibilitiesProject Oversight
  • Define project objectives and deliverables
  • Allocate resources, set timelines, and manage project budgets.
  • Monitor the progress of projects and ensure they are delivered on time and within scope.
Technical Expertise
  • Actively contribute to data analysis, modeling, and other technical aspects of projects.
  • Provide technical guidance and mentorship to team members.
Strategy and Planning
  • Collaborate with business leaders and other departments to identify opportunities for data-driven insights and solutions.
  • Develop a data science strategy that aligns with the organisations goals and objectives.
Data Governance and Quality
  • Ensure data quality, data security, and compliance with data privacy regulations.
  • Establish data governance practices within the team.
  • Implement data documentation and data lineage processes.
Communication and Collaboration
  • Effectively communicate complex technical concepts to non-technical stakeholders.
  • Collaborate with cross-functional teams, such as engineering, product management, and marketing, to understand their data needs and provide solutions.
Experimentation and Innovation
  • Explore new data sources, technologies, and methodologies to improve data science capabilities.
Continuous Improvement
  • Continuously evaluate and improve data science processes, tools, and methodologies.
  • Identify opportunities for efficiency gains and optimization.
  • Foster a culture of learning and skill development within the team.
Required skills
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g., Python, R, C#, SQL)
  • Hands on experience with ML and deep learning frameworks (e.g. TensorFlow and PyTorch)
  • Hands-on experience with data tooling (e.g., Airflow, dbt, AWS Kinesis)
Next stepsIf this role is of interest, please attach a copy of your most recent CV.Dont worry if its up to date, we can sort that out at a later date.

APPLY NOW

Lead Data Scientist Related Jobs

© 2019 Naukrijobs All Rights Reserved