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hackajob is partnering with Dominos Pizza UK & Ireland to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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Job Title: |
Junior Data Scientist |
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Function: Department |
Marketing / Digital |
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Location: |
Milton Keynes / Manchester (Remote) |
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Reporting to |
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Direct Reports: |
None |
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Effective Date: |
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Financial Scope/Operating Budget/Revenue (P&L) (If Applicable) |
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Old DPG Grade/New DPG Band: |
N/A |
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Job Purpose:
To support the organisation’s data-driven decision making by analysing complex datasets, building predictive models, and generating actionable insights. work closely with senior data scientists and business stakeholders to ensure the insights enable decisions that optimise processes, improve customer experiences, and contribute to commercial growth. |
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Key Responsibilities/Job Tasks: Please list the most important responsibilities (with a breakdown of Frequency against each e.g., sometimes, often, considerable etc). · Assist in collecting, cleaning, and preparing data from various sources for analysis and modelling. · Works on well‑defined data science problems with clear success criteria · Build, test, and deploy basic predictive models under the guidance of senior team members. · Support the development of dashboards and automated reports for business stakeholders. · Contribute to A/B testing and experimentation to improve product features and customer journeys. · Collaborate with cross-functional teams (e.g., analytics, marketing, product,operations) to understand requirements and deliver data solutions. · Present findings and insights in a clear, concise manner to both technical and non-technical audiences.
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The following sections consist mainly of a series of questions related to specific skills/job requirements. You should focus on the role rather than the individual when considering the most appropriate answer and should base the response on what you consider to be the normal features of the job which are typical of the job and its usual working conditions over the year.
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SKILLS & JOB REQUIREMENTS (Please complete where applicable) |
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Strategic Responsibility Please provide details of the level of responsibility the role has for setting strategy: (Please indicate if a role has accountability for setting or inputting into a specific strategy e.g., a Functional Strategy, please confirm if it is Significant)
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Business knowledge Please provide details of how much business knowledge the role requires as a minimum requirement i.e. how much internal knowledge of the business is required, and how much if any external commercial awareness is required? Which teams does the role work closely with? Able to work with stakeholders to identify business problems and help build solutions using data science and advanced analytics. Can identify value metrics that will drive adoption. |
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Problem solving Please provide details of how the role resolves problems/issues on a daily basis: e.g. Does the role use straightforward common sense? Does the role make straight forward judgements and is guided by precedents? Does the role evaluate multiple sources of information in complex or novel situations? Does the role use other skills for problem solving?
Regularly tackles data-related challenges such as missing values, outliers, and inconsistent formats. Uses logical reasoning and statistical techniques to resolve issues, often seeking guidance from senior colleagues. Applies creative thinking to experiment with different modelling approaches and improve solution accuracy. |
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Decision making What level of decision making is required of the role and on what decisions does it impact? E.g., there is little requirement for decision making in the role, or role makes decisions within defined procedures, or r, or role makes decisions within broad business guidelines where there are few or no policies available.
Makes decisions within defined procedures and guidelines, such as selecting appropriate data cleaning methods or choosing basic modelling techniques. Escalates complex or high-impact decisions to senior data scientists or managers. Demonstrates sound judgement in prioritising tasks and managing time effectively. |
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Communication Please outline the type of communication skills required: e.g., is basic common courtesy required, or regular exchange of factual information, or are influencing or negotiation skills required as an essential requirement of the role?
Communicates findings and technical concepts clearly to team members and stakeholders. Prepares visualisations and reports that make data accessible to non-technical audiences. Listens actively to feedback and adapts communication style as needed. Participates in meetings and workshops to share progress and learn from others. |
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Innovation To what extent does the role contribute to and manage change, e.g., suggest improvements to products/processes or contributes useful ideas or regularly recommends improvements on existing procedures and quality within own area, or develops/adapts new existing processes for increased quality/efficiency or continuously searches for improvements in techniques which add value to the business and has full responsibility and accountability for implementing these.
Contributes ideas for improving data processes, reporting, and modelling approaches. Stays up to date with emerging tools and techniques in data science. Participates in brainstorming sessions and pilots new solutions under supervision, helping to drive continuous improvement within the team. |
Please summarise the levels of minimum education, knowledge, skills and experience this position requires (e.g., if you would be recruiting to fill this position, what aspects of background or knowledge would you expect a successful job applicant to have?)
Note: This may differ from the current job holder’s own skills and experience
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JOB SPECIFICATION |
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1. Professional Qualification(s) |
A degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering is preferred. Certifications in data science, analytics, or relevant programming languages (e.g., Python, R) are advantageous but not essential. |
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2. Knowledge |
Understanding of statistical concepts and data analysis techniques. Familiarity with data manipulation and visualisation tools (e.g., Python, R, SQL, Excel, Tableau). Awareness of machine learning fundamentals and common algorithms. Knowledge of data governance and privacy standards (e.g., GDPR). |
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3. Skills/Ability |
Analytical thinking and problem-solving skills. Ability to work with large datasets and perform data cleaning and transformation. Programming skills in Python or R. Experience with data visualisation tools (e.g., Tableau, Power BI, Matplotlib). Strong attention to detail and accuracy. Willingness to learn and adapt to new technologies. Effective communication and presentation skills. Ability to work collaboratively in a team environment. Time management and organisational skills. |
hackajob is partnering with Dominos Pizza UK & Ireland to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.