Our Opportunity We currently have an opening in our Software Engineering team for a Senior Data Scientist. As the Senior Data Scientist, you will play a crucial role in developing cutting-edge data solutions to drive business growth and innovation. You will be responsible for leveraging advanced statistical and machine learning techniques to extract insights from complex data sets and develop predictive models. You will collaborate closely with cross-functional teams to deploy data-driven solutions and drive actionable insights across the organisation so a strong and deep understanding of business needs is necessary alongside strong stakeholder management skills and the ability to present captivating stories through data analysis and visualisation. This is a hybrid role working a minimum of two days per week from either one of our London sites or our site in Cheadle, Manchester (flexible, but generally Tuesday and Wednesdays for this team). Key Responsibilities: Your responsibilities will include, but not be limited to: Lead the design, development, and implementation of advanced analytics and machine learning models to solve complex business problems Analyse large, complex data sets to uncover trends, patterns, and insights that drive strategic decision-making Collaborate with stakeholders across the organisation to identify business requirements and translate them into data science solutions Collaborate with software engineers to integrate models and algorithms into production systems, and ensure scalability and performance Develop and deploy scalable data pipelines and infrastructure to support data-driven decision-making Stay up-to-date with the latest developments in data science, machine learning, and related fields, and actively seek out opportunities to apply them to enhance existing processes and methodologies Mentor and provide guidance to junior members of the data science team Technical Skills and Experience Proven experience working as a data scientist or data engineer in a fast-paced environment Programming languages and frameworks such as Python, R (others considered) Statistical analysis, machine learning and experimental design Big data technologies such as Hadoop, Spark, or Kafka Cloud platforms such as AWS or Microsoft Azure Data visualisation tools such as Tableau, Power BI, or Grafana Database systems such as SQL, NoSQL, and data warehousing concepts Human Skills Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders Strong problem-solving skills and attention to detail Demonstrated ability to mentor and coach junior engineers What to expect We aim to complete a two-stage interview process, with at least one of these held in person at our Cheadle office. The interviews will focus separately on technical and behavioural competencies. Reasonable adjustments are available with prior notice so please let the TA partner know if this would be necessary. To find out what reasonable adjustments are, and what might be available, your TA partner will be happy to discuss this with you. We may close this role early if we identify strong candidates within the 2 week advertising period. What We Can Offer We’re committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you’ll have a myriad of opportunities within our diverse, global organisation. Flexibility Your health and well-being matters to us and that’s why we offer you the flexibility to do what’s important to you; whether that’s part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.