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Working in User Research & Relationships means you’ll focus on building, managing, and utilising relationships with people, clients, and users at all levels.
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Are you ready to be a part of something extraordinary? As tombola continues its remarkable growth, we're on the hunt for a Data Scientist.
The Data Scientist is a key role within the Data department in the Tech team at tombola. This role will report directly into our Lead Data Scientist, and will be crucial into helping build our data capability.
At tombola, we're not just another player in the game; we're the creators of the game. Our approach is revolutionary – we craft every element of our software in-house, from concept to execution. We take pride in the ingenuity of our developers and designers, united by their passion for pushing boundaries and shaping the future.
It’s not just our digital bingo balls that have loads of bounce. Our people do, too. Whatever your role, it’s the kind of place that can put a spring in your step.
Whether you're developing game mechanics, keeping our players safe, testing our products or sponsoring one of the UK's biggest TV shows, how high and how far you bounce really is up to you.
We champion a culture of inclusivity, flexibility, personal development, and mental wellbeing!
As well as a salary that will be more than agreeable for you, we offer market leading benefits such as quarterly bonus, tombola merch, free breakfast and lunches in the office, private healthcare, hybrid working and much more.
You can find out more about our benefits and what it's like to work for us here.
Be a key part of the Data Science team delivering data driven insights and innovation across the organisation To deliver robust and scalable data driven solutions to enhance the data capabilities at tombola To work with key teams within tombola to build insightful and trustworthy data projects that improve the capabilities and efficiency of each team To optimize and enhance existing data driven initiatives across the organisation to help tombola deliver on its key business objectives To work closely with the wider Data Team to ensure the availability and scalability of the relevant data sources and features To work with security, data protection and compliance teams to ensure all data science projects are delivered in secure, compliant and ethical manner and are in line with all gambling licence requirements
Building end to end data science and machine learning projects to enhance tombola’s data driven decision making ability Working with key stakeholders to develop an understanding of business problems and how data can be used to help Developing and evaluating statistical and machine learning models to enhance the predictive and prescriptive capabilities across the wider business using techniques including (but not limited to) regression, classification, clustering, time-series analysis and natural language processing Deploying models into production for use by the wider business using best practice MLOps processes Monitoring and maintaining the performance of models and ensuring models continue to perform as expected in an unbiased and trustworthy manner Working with the BI teams to ensure the value of complex data science projects is conveyed clearly and effectively and meets the needs of the business and key stakeholders Ensuring all documentation for data science projects is maintained and updated to offer transparency across the entire ML life cycle
Experience of working in a Data Science role (2+ years) delivering data driven solutions to an organisation Strong proficiency in programming languages such as Python or R, and SQL A good understanding of a range of machine learning models and techniques Experience working with common data manipulation and machine learning packages including scikit-learn, numpy, pandas, scipy Experience working with big data, statistical analysis and data mining Experience of documenting and explaining data science projects to a range of different stakeholders Experience managing and building relationships with internal and external stakeholders Experience with cloud technologies such as AWS, Azure or GCP (AWS would be a preference, but if not, we will provide necessary training) Some experience of deploying ML models with cloud technology would be a big advantage Excellent problem-solving skills and a strong analytical mindset with the ability to work both independently and as part of a team
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