—
Why join us Joining the Data & Analytics team at Sainsbury's as an Associate Data Scientist offers a unique opportunity to be part of a diverse and supportive environment where you can make a real impact through data-driven solutions. Working on innovative projects within the Nectar360 team, you will collaborate with talented colleagues to shape the future of our Retail Media Marketing offering used by clients, digital agencies, and internal teams. With a focus on continuous learning and growth, this role provides a platform for early career professionals to enhance their skills and contribute to the success of one of the UK's largest coalition loyalty programmes, all while being part of an inclusive and forward-thinking culture that values creativity in problem-solving. What you'll do As an Associate Data Scientist at Sainsbury's Nectar360, you will gain hands-on experience while contributing to impactful projects. You will play a vital role in building and refining data pipelines and models to support the measurement and optimisation of N360 marketing performance. Collaborating with a diverse team of Analysts, Engineers, Product Managers, and other stakeholders, you will apply data science techniques such as regression, classification, clustering, and experiment design to derive actionable insights from data. Your responsibilities will involve writing well-structured Python and SQL code, staying updated on advanced data science techniques, supporting senior colleagues, and transforming data into meaningful business insights, contributing to the success of our Retail Media Marketing offering. You will be part of our Data & Analytics community of 800+ professionals, sharing knowledge and learning from others. Who you are As an Associate Data Scientist at Sainsbury's Nectar360, you are a talented, dynamic and ambitious individual eager to apply your skills and passion for data science to drive impactful projects and contribute to the success of our Retail Media Marketing offerings. You are driven by solving complex problems and continuous learning, are excited to work with a wide range of data and keen to grow as part of an inclusive, forward-looking team. With a thoughtful approach and critical thinking abilities, you have a strong interest in leveraging data to deliver meaningful business outcomes. Your proficiency in Python, SQL, and data modelling, combined with your curiosity, problem- solving mindset, make you a valuable asset to our team as we navigate the ever-evolving landscape of data science and analytics. Whether you are a recent graduate, a career-changer, or building on early experience in data, we’re looking for potential and we value fresh perspectives. Essential Criteria • Proficient in Python and SQL for data extraction and manipulation, with a demonstrable ability to write well-structured code collaboratively. • Applied experience in data modelling or analysis, such as statistics, machine learning, or descriptive analytics, gained through academic, professional, or project-based work. • Experience or familiarity with MMMs, causal inference and/or multi-touch attribution are a plus. • Familiarity with cloud computing platforms (e.g. AWS or Azure) and an interest in building scalable data solutions. • Understanding of version control tools and awareness of best coding practices in a collaborative environment. • Ability to communicate insights clearly and work effectively with stakeholders across technical and business functions. • Clear communicator who is open to feedback and learning. • Values taking care of data quality and using data responsibly. #LI-CM1
| Skill | Source | Confidence |
|---|---|---|
| Regression Algorithms | llm_hard |
100%
|
| SQL | llm_hard |
100%
|
| Classification Algorithms | llm_hard |
100%
|
| Python | llm_hard |
100%
|
| Clustering | llm_hard |
100%
|
| Experimental Design | llm_hard |
100%
|
| Data Pipelines | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Continuous Learning | llm_soft |
100%
|
| Critical Thinking | llm_soft |
100%
|
| Giving and Receiving Feedback | llm_soft |
100%
|
| Stakeholder Communication | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Problem-Solving | llm_soft |
100%
|
| Explaining Complex Ideas Clearly | llm_soft |
80%
|
| Technical Writing | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Associate Data Scientist | extracted | 5823 | 2026-03-28 10:45 | |
| Associate Data Scientist | classified | 532 | 2026-03-28 10:21 | |
| data scientist in London, UK | gb | processed | 11050 | 2026-03-28 10:07 |
{
"job_id": "IVkeX9DnhJYuwe3HAAAAAA==",
"job_city": "London",
"job_state": null,
"job_title": "Associate Data Scientist",
"job_salary": null,
"job_country": "GB",
"job_benefits": null,
"job_latitude": 51.5072178,
"job_location": "London",
"job_onet_soc": "15111100",
"apply_options": [
{
"is_direct": false,
"publisher": "Sign In",
"apply_link": "https://hdhe.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/400053651?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": true,
"publisher": "EFinancialCareers",
"apply_link": "https://www.efinancialcareers.co.uk/jobs-UK-London-Data_Scientist_-_Fraud_Strategic_Analytics_Associate.id23802150?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": true,
"publisher": "Jobs In Forex",
"apply_link": "https://www.jobsinforex.com/job/166382/associate-data-scientist/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": true,
"publisher": "Jobs By Workable",
"apply_link": "https://apply.workable.com/ziphire-dot-h-r/j/D18A905420?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "Hackajob",
"apply_link": "https://hackajob.com/job/63e4219b-26b4-11f1-a7b8-0a05e249917d-associate-data-scientist?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "Experteer UK",
"apply_link": "https://www.experteer.co.uk/career/view-jobs/associate-data-scientist-london-grossbritannien-56657565?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "WIZBII Jobs",
"apply_link": "https://en.wizbii.com/company/argos/job/associate-data-scientist-115?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "BeBee",
"apply_link": "https://bebee.com/gb/jobs/data-scientist-super-awesome-ziphirehr-london--theirstack-646638965?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
}
],
"employer_logo": null,
"employer_name": "Candidate Experience site",
"job_is_remote": false,
"job_longitude": -0.12758619999999998,
"job_posted_at": "10 days ago",
"job_publisher": "Sign In",
"job_apply_link": "https://hdhe.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/400053651?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
"job_highlights": {},
"job_max_salary": null,
"job_min_salary": null,
"job_description": "Why join us\n\nJoining the Data & Analytics team at Sainsbury's as an Associate Data Scientist offers a unique opportunity to be part of a diverse and supportive environment where you can make a real impact through data-driven solutions. Working on innovative projects within the Nectar360 team, you will collaborate with talented colleagues to shape the future of our Retail Media Marketing offering used by clients, digital agencies, and internal teams. With a focus on continuous learning and growth, this role provides a platform for early career professionals to enhance their skills and contribute to the success of one of the UK's largest coalition loyalty programmes, all while being part of an inclusive and forward-thinking culture that values creativity in problem-solving.\n\nWhat you'll do\n\nAs an Associate Data Scientist at Sainsbury's Nectar360, you will gain hands-on experience while contributing to impactful projects. You will play a vital role in building and refining data pipelines and models to support the measurement and optimisation of N360 marketing performance. Collaborating with a diverse team of Analysts, Engineers, Product Managers, and other stakeholders, you will apply data science techniques such as regression, classification, clustering, and experiment design to derive actionable insights from data. Your responsibilities will involve writing well-structured Python and SQL code, staying updated on advanced data science techniques, supporting senior colleagues, and transforming data into meaningful business insights, contributing to the success of our Retail Media Marketing offering. You will be part of our Data & Analytics community of 800+ professionals, sharing knowledge and learning from others.\n\nWho you are\n\nAs an Associate Data Scientist at Sainsbury's Nectar360, you are a talented, dynamic and ambitious individual eager to apply your skills and passion for data science to drive impactful projects and contribute to the success of our Retail Media Marketing offerings. You are driven by solving complex problems and continuous learning, are excited to work with a wide range of data and keen to grow as part of an inclusive, forward-looking team. With a thoughtful approach and critical thinking abilities, you have a strong interest in leveraging data to deliver meaningful business outcomes. Your proficiency in Python, SQL, and data modelling, combined with your curiosity, problem-\n\nsolving mindset, make you a valuable asset to our team as we navigate the ever-evolving landscape of data science and analytics. Whether you are a recent graduate, a career-changer, or building on early experience in data, we’re looking for potential and we value fresh perspectives.\n\nEssential Criteria\n• Proficient in Python and SQL for data extraction and manipulation, with a demonstrable ability to write well-structured code collaboratively.\n• Applied experience in data modelling or analysis, such as statistics, machine learning, or descriptive analytics, gained through academic, professional, or project-based work.\n• Experience or familiarity with MMMs, causal inference and/or multi-touch attribution are a plus.\n• Familiarity with cloud computing platforms (e.g. AWS or Azure) and an interest in building scalable data solutions.\n• Understanding of version control tools and awareness of best coding practices in a collaborative environment.\n• Ability to communicate insights clearly and work effectively with stakeholders across technical and business functions.\n• Clear communicator who is open to feedback and learning.\n• Values taking care of data quality and using data responsibly.\n\n#LI-CM1",
"job_google_link": "https://www.google.com/search?ibp=htl;jobs&q&htidocid=IVkeX9DnhJYuwe3HAAAAAA%3D%3D&hl=en-GB&shndl=37&shmd=H4sIAAAAAAAA_xWNMQrCQBBFsc0RrAbsLLIq2GglKjZ2HiBMNkMyss4smSlSegfxgp7ETfPgF--_6ruoticzjYxOcEFHeEQmcTaH3_sDT23BCMc4gArcVPtEy-Pgnu0Qglmqe3N0jnXUV1ChVqdQJJvR2IAj5VS-m91-M9VZ-vXqjNJxN_euU6ax1CKBcdkscFfpVP5zIt95mAAAAA&shmds=v1_ATWGeeN83KZLRh2pbPOvGEzCyJlTEqMs0AlpkcDQjcZzsQdAwg&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq&htidocid=IVkeX9DnhJYuwe3HAAAAAA%3D%3D",
"employer_website": null,
"job_onet_job_zone": "5",
"job_salary_period": null,
"job_apply_is_direct": false,
"job_employment_type": "Full–time",
"job_employment_types": [
"FULLTIME"
],
"job_posted_at_timestamp": 1773792000,
"job_posted_at_datetime_utc": "2026-03-18T00:00:00.000Z"
}