381 Data Scientist jobs in London

Data Scientist



Salary: 75,000 - 95,000

Data Idols are working with a fast-growing technology organisation to hire a Data Scientist. This is a hands-on role working directly with clients, embedding into their teams to understand their challenges and deploy data-driven solutions.

The Opportunity

As a Data Scientist, you'll work at the intersection of analytics, engineering, and client delivery. You'll partner closely with stakeholders to scope complex problems, wrangle messy real-world datasets, and design solutions that can be deployed into production. This role combines technical depth with the ability to translate data science into practical outcomes for clients. If you thrive on variety, enjoy solving problems face-to-face, and want to see your models make an immediate impact, this is a great fit.

Skills and Experience

• Strong background in data science, with expertise in Python and SQL
• Experience building and deploying machine learning models into production
• Strong problem-solving skills and ability to work with ambiguous, complex data
• Proven ability to engage directly with clients and non-technical stakeholders
• Experience working in consulting, professional services, or client-facing roles is highly desirable
• Knowledge of data engineering, cloud platforms, or applied analytics a plus

If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Data Scientist

• We are seeking Data Scientists to support the implementation of Health Assessment Outcomes and AI Personalisation Projects. These initiatives are part of a multi-year programme aimed at delivering measurable impact through advanced clinical statistical techniques and innovative AI solutions.
• The successful candidates will evaluate and quantify the impact of Health Assessments on customer health and wellbeing, while deepening the understanding of customer profiles, health determinants, and personalised healthcare solutions.
• We are looking for individuals with applied experience in data science within a healthcare or clinical setting, who can also act as subject matter experts by collaborating closely with clinicians, operational teams, and business managers.

• Ensure the accuracy, relevance, and robustness of clinical outcomes data through rigorous validation methodologies.
• Identify, define, and track supplementary metrics to enhance outcomes analysis.
• Collaborate with stakeholders to agree on analytical assumptions and clearly articulate limitations.
• Lead the development of research protocols, outlining objectives, scope, and methodological frameworks.
• Conduct in-depth analysis using appropriate statistical and computational techniques.
• Contribute to a comprehensive white paper in collaboration with academic partners.
• Evaluate and tailor clinical risk models to align with datasets and clinical objectives.
• Map input variables to model requirements, ensuring semantic and structural consistency.
• Conduct validation and performance testing, including clinical utility assessments.
• Collaborate with clinical experts to review model assumptions and implications for patient care.
• Prepare documentation for clinical governance bodies to ensure compliance with ethical and regulatory standards.
• Integrate validated clinical risk models into AI personalisation algorithms.
• Design and execute pilot studies using real-world patient cohorts.
• Collaborate with clinical leadership to review pilot outcomes and refine approaches.
• Define clinical rules and inclusion/exclusion criteria to guide model application.
• Enhance AI-driven personalisation by integrating updated clinical risk insights.

• Applied experience in Data Science within a healthcare or clinical setting.
• Expertise in medical statistics, epidemiology, and population health.
• Proficiency in study design, statistical modelling (e.g., survival analysis, regression techniques), and longitudinal data analysis.

Data Scientist



Salary: 75,000 - 95,000

Data Idols are working with a fast-growing technology organisation to hire a Data Scientist. This is a hands-on role working directly with clients, embedding into their teams to understand their challenges and deploy data-driven solutions.

The Opportunity

As a Data Scientist, you'll work at the intersection of analytics, engineering, and client delivery. You'll partner closely with stakeholders to scope complex problems, wrangle messy real-world datasets, and design solutions that can be deployed into production. This role combines technical depth with the ability to translate data science into practical outcomes for clients. If you thrive on variety, enjoy solving problems face-to-face, and want to see your models make an immediate impact, this is a great fit.

Skills and Experience

• Strong background in data science, with expertise in Python and SQL
• Experience building and deploying machine learning models into production
• Strong problem-solving skills and ability to work with ambiguous, complex data
• Proven ability to engage directly with clients and non-technical stakeholders
• Experience working in consulting, professional services, or client-facing roles is highly desirable
• Knowledge of data engineering, cloud platforms, or applied analytics a plus

If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Data Scientist

About FacultynAt Faculty, we transform organisational performance through safe, impactful and human-centric AI.

With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.

Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.

Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

We operate a hybrid way of workingnWe operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time.

What you'll be doing:nAs a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout.

You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.

Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.

Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.

Who we're looking for:

Proven experience in either a professional data science position or a quantitative academic field

Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe

An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)

A high level of mathematical competence and proficiency in statistics

A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill

An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment

Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience

Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery

What we can offer you:nThe Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.

Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Media help partners understand the changing advertising landscape. Specialising in audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media, their global coverage and local expertise enable better understanding of media audiences and their relationships with brands.

Kantar Media is a wholly owned but operationally independent part of the Kantar Group.

#LI-KantarMedia

Job Details

As people increasingly move across channels and platforms, Kantar Media's data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making.

Working with panel and first-party data in over 80 countries, we have the world's fastest growing cross-media measurement footprint, underpinned by versatility, scale, technology and expertise, to drive long-term business growth for our clients and partners.

Job Title: Data Scientist

Location: London

Work pattern: Full time/Permanent/Hybrid working

This is a full-time permanent position, based in our London office. We operate in a hybrid capacity and require 2 days in the office. All applicants must have the legal right to live and work in the UK.

Role Description:

We're looking for a data scientist who thrives on solving complex, real-world problems using data-and wants to have a meaningful impact on the future of media.

This role sits at the heart of cutting-edge audience measurement research, where you'll help shape how the world's leading broadcasters, advertisers, and platforms understand and connect with audiences. You'll work on high-

impact initiatives that drive innovation across the media ecosystem, including:

Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners.nDeveloping GPU-powered algorithms for high-performance modelling at scale.nExploring applications of Large Language Models (LLMs) in media and measurement contexts.nDesigning and implementing machine learning solutions that enhance our product capabilities and operational intelligence.nAs part of a collaborative and technically strong team, you'll work closely with engineers, product managers, and fellow scientists. We value initiative, curiosity, and real-world impact-this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science.

Key ResponsibilitiesnDesign, prototype, and optimise statistical and ML models for integration into production workflows.nExplore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases.nCollaborate with cross-functional teams to ensure model deployment is robust, scalable, and aligned with product goals.nInvestigate large datasets to discover trends, resolve inconsistencies, and support high-quality insights.nContribute to code reviews, design sessions, and documentation to maintain best practices in model development.nTake ownership of project areas while working in a collaborative, face-to-face, and iterative development environment.nSkills & ExperiencenStrong foundation in applied mathematics, statistics, or machine learning.nExperience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.).nComfort working with large and complex datasets, including data wrangling and exploratory analysis.nExperience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar).nDemonstrated ability to work independently on real-world projects.nStrong communicator, with the ability to share ideas, take feedback, and collaborate effectively.nA master's or PhD in a quantitative field (or equivalent real-world experience in data science or analytics).nBonus: experience in at least one of the following areas:

Working with Marketing Mix Models (MMMs)nPractical applications of Large Language Models (LLMs) or NLPnUnderstanding of web technologies and identifiers (e.g. cookies, device IDs, MAIDs, etc.)

Our offer

At Kantar we have an integrated way of rewarding our people based around a simple, clear, and consistent set of principles. Our approach helps to ensure we are market competitive and to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

We go beyond the obvious, using intelligence, passion, and creativity to inspire new thinking and shape the world we live in. Apply for a career that's out of the ordinary and join us.

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted, and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

At Kantar, the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients. Kantar is committed to inclusion and diversity; therefore, we welcome applications from all sections of society and do not discriminate because of age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status, or any other legally protected characteristics.

Privacy and Legal Statement

PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited ("Kantar"). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit Kingdom

Why join Kantar?

We pride ourselves on understanding people, and what makes us think and act the way we do.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We're dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you're not an exact match, we'd love to receive your application and talk to you about this job or others at Kantar.n#J-18808-Ljbffrn

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.nJob DescriptionnAs a Data Scientist on Strider’s Engineering team, your job is to research and develop new data solutions, scale existing data applications, and bend Strider’s data strategies to accomplish many goals within a growing startup. We’re looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch.

What you will do:nDig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or get lost on problems we didn’t even know existed.nTransform analytics to insights, applying critical business thinking and creative data solutions toward vaguely defined problems.nDevelop needed technical and analytical skills to introduce new data and or product capabilities to accelerate Strider’s larger mission; leveraging Python, SQL, R, and or other data languages.nCollaborate with subject matter experts to deliver value to Strider’s growing list of clients.nEstablish and uphold a data-driven culture for a small but growing team within Strider’s Engineering functionnWhat you will need to be successful:n3+ years of experience in data science and or analytics.nAn MS or BS in a quantitative field (e.g. Economics, Statistics, Engineering)nFunctional knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch is preferred but not required.nAbility to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions.nAbility to independently manage deliverables and ruthlessly prioritize your work.nA rigorous approach towards data quality and cultivating trust with clients, internally and externally.nWhy join this team:nWe are geo-distributed and deeply respect-focused work. Wednesdays are distraction-free days and Fridays tend to be the same. Getting work done matters, not meetings and status updates.nMost of the data and tools we need to succeed likely don’t exist yet. You are empowered to dream big, think outside the box, and generally explore new territory.nYou’ll get daily interactions with all functions and levels of Strider, providing endless opportunities to advance your career.nAnd finally, we revel in learning new things, be it technical languages, spoken languages, or other topics. There is infinite space at Strider to pursue your interests to further yourself, the team, or Strider as a whole.nEquity Options: Be a stakeholder in our growing success and share in our journey.nWork-Life Balance: Flexible PTO, UK holidays, and remote-friendly policies to support your personal and professional life.nWellness Support: Reimbursement for health and fitness expenses to promote your well-being.nComprehensive Benefits: Including pension contributions and additional perks.nStrider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.nCreate a Job AlertnInterested in building your career at Strider Technologies? Get future opportunities sent straight to your email.nApply for this job

indicates a required fieldnFirst Name *nLast Name *nEmail *nPhonenResume/CV *nEnter manuallynAccepted file types: pdf, doc, docx, txt, rtfnEnter manuallynAccepted file types: pdf, doc, docx, txt, rtfnLinkedIn ProfilenAre you legally authorized to work in the UK? * Select.nWill you now (or in the future) require visa sponsorship in order to work in the UK? * Select.nWhat is the salary range you are looking for in your next opportunity?nWere you referred to this role? If so, please list who referred you below.nDo you consent to Strider Technologies conducting third-party background checks and utilizing advanced tools to assess potential risks as part of your application process? * Select.nAs part of our commitment to fostering a secure and compliant work environment, Strider Technologies employs third-party background checks and advanced tools to assess potential risks. These processes help ensure compliance with applicable laws and protect intellectual property, technology, and organizational integrity.

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Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This is a contract role based in our new Soho Place office - opened in 2023 - in the heart of Central London and home to our Research Lab.

The role

Data scientists at G-Research bring structure to the world's financial data, refining, transforming and combining varied and rich datasets to create superior representations of the outside world in our research platform.

Collaborating closely with Quantitative Researchers and Engineers - and supported by a high-performance compute platform - you'll analyse third-party datasets and apply your technical expertise and understanding of financial markets to integrate them effectively into our growing data estate.

Who are we looking for?

The ideal candidate will have the following skills and experience:

Strong academic credentials, including a minimum 2:1 degree or equivalent, in a quantitative subject, such as mathematics, statistics, computer science, physics or engineeringnDemonstrable experience in a data science or data analysis role, with excellent performance over a number of yearsnGood programming skills, preferably in PythonnThe ability to apply foundational mathematical concepts, such as probability or statistics, to real world financial and data science problemsnOutstanding problem-solving ability and strong data visualisation skillsnThe ability to collaborate well with others on projectsnWhy should you apply?nHighly competitive compensation plus annual discretionary bonusnLunch provided (via Just Eat for Business) and dedicated barista barn35 days' annual leaven9% company pension contributionsnInformal dress code and excellent work/life balancenComprehensive healthcare and life assurancenCycle-to-work schemenMonthly company eventsnG-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant sectionn#J-18808-Ljbffrn

Joining Arup

At Arup we're dedicated to sustainable development and to doing socially useful work that has meaning. Our purpose, shared values and collaborative approach has set us apart for over 75 years, guiding how we shape a better world.

Watch this short clip to discover how Arup are shaping a better world and how you could be a part of it!

The Opportunity

We have opportunities for an experienced and ambitious Data Scientist to join our collaborative and creative Transport Modelling and City Modelling Lab team in London.

We're looking for an experienced and ambitious Data Scientist to join our collaborative and innovative Transport Modelling team in London. This is an exciting opportunity to contribute to cutting-edge projects in agent-based and activity-based modelling, working alongside senior transport modellers, project managers, and multidisciplinary teams across the UK and internationally.

About the Role

As a Data Scientist in our Transport Modelling team, you will:nDevelop and apply innovative methodologies to solve complex urban modelling challenges using data, models, and visualisation.nBuild and calibrate models including synthetic populations, activity/location choice models, and forecasting future transport scenarios.nSupport scheme assessments and mitigation testing through robust data analysis.nCollaborate with clients and stakeholders, attend meetings and present insights.nExtract, interpret, and communicate model outputs through traditional and non-traditional technical reporting.nLeverage your expertise in Python and GitHub to deliver scalable and efficient solutions.nYou will be based in London with potential project work elsewhere in the UK and internationally, as required.nEssential Skills and Knowledgen4-6 years of experience in data science, simulation, urban modelling, and/or transport modelling.nProficiency in PythonnMaster's degree in a relevant discipline (e.g., Data Science, Transport Planning, Statistics).nStrong data visualisation skills tailored to client needs.nAbility to present complex data clearly and effectively.nExcellent interpersonal and client-facing communication.nComfortable working independently and within a team.nDesirable Skills and KnowledgenPhD degree in a relevant discipline (e.g., Data Science, Transport Planning, Statistics), especially activity based and/or agent-based modellingnDirect experience with activity-based and agent-based modelling, including synthetic population development.nExperience in the appropriate development and deployment of machine learning algorithms, balancing explainability with predictive powernFamiliarity with MATSim or PopulationSim.nExperience with databases and statistical tools (e.g., MySQL, SQL Server, R) and knowledge of traditional modelling software (e.g., SATURN, VISSUM, CUBE).nKnowledge of cloud computing (AWS, GCP, Azure etc.)nKnowledge of software engineering practices, including automated testing, peer review via pull requests, continuous integration and continuous deployment and data engineeringnWhat we offer you

At Arup, we care about each member's success, so we can grow together.

Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive - through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do.

We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup's legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts.

We also provide Private medical insurance, Life assurance, Accident insurance and Income protection cover. In addition, you'll have access to flexible benefitsto help you look after all aspects of your wellbeing and give you the freedom and flexibility to find the best solutions for you, your family, and your individual needs.

Different people, shared values

Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you're pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas - this drives our excellence.

Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion - we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at are committed to making our recruitment process and workplaces accessible to all candidates. Please contact



to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you.

Our Application Process

To understand what to expect next, please visit safe online

- Arup will never ask for your bank details as part of our recruitment process.

Recruitment Agencies

- We have a Preferred Supplier List of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on the list.

Closing Date: n#J-18808-Ljbffrn

At Gopuff, we’re not just delivering convenience, we’re redefining how the world shops. Since pioneering instant needs in 2013, we’ve empowered millions of customers across the U.S. and U.K. to reclaim their time through seamless, fast, and reliable delivery. Behind this transformative journey is our tech-first mindset, relentless obsession with customer experience and operational excellence.nWe’re looking for an exceptional Data Scientist to shape the future of quick commerce. This is not just a job, it’s a mission. As a Data Scientist in the UK Data team, you will support the rapid growth of our business by analysing our huge datasets to uncover insights that drive improvements across all departments performance.nYou’ll partner with cross-functional teams, challenge the status quo and make high-impact recommendations. With your mastery of SQL, Python and advanced modelling, you won’t just support decisions - you’ll lead them. We believe great work happens through collaboration, not competition. You foster a culture of curiosity, respect, and shared success, ensuring data is a tool for empowerment, not gatekeeping. No room for arrogance - just a commitment to helping others and making an impact together.nIf you’re a high-performer who thrives in fast-paced, high-impact environments, this is your chance to build, innovate, and leave a lasting mark on one of the most disruptive industries in the world.nAre you ready to shape the future of commerce? Let’s go!nYou Will:

Drive Business Efficiency through Analytics:

Analyse and enhance key metrics across customer acquisition, retention, and revenue generation. Use statistical and machine learning methods to identify patterns, uncover opportunities, and recommend actions that improve business performance and cost efficiency.nDevelop and Maintain Strategic Data Models:

Build scalable, well-documented data models using tools like dbt and databricks to support transparency and accuracy in tracking core KPIs. Ensure models are robust, maintainable, and aligned with evolving business needs.nDeep Dive into Company Performance:

Collaborate closely with cross-functional teams to align KPIs with business goals. Use data to identify performance gaps, root causes, and potential levers for improvement, with a focus on measurable business outcomes.nCross-Functional Data Partnering:

Work alongside Category, Operations, and other teams to ensure insights are contextualised and actionable. Translate complex analyses into strategic recommendations that drive operational and commercial impact.nSolve Business Problems with Data:

Use a variety of analytical methods ranging from exploratory data analysis to predictive modelling to solve real-world business problems. Launch and report on various of A/B tests running across all business functions.nCommunicate Insights Effectively:

Craft clear, compelling narratives with data. Present findings to both technical and non-technical audiences, ensuring data is accessible, trusted, and central to decision-making.nYou Have:

3+ Years working as a Data Scientist:

Proven experience in a data-driven environment, ideally in a high-growth e-commerce or retail setting.nExpertise in SQL and Python:

Advanced skills in SQL and Python for querying large datasets, developing complex reports, building data models.nTools Mastery:

Familiarity with BI tools such as Looker, Tableau, or Power BI, with a strong ability to translate data into strategic insights.nProblem-Solver:

A passion for tackling business challenges, with the ability to identify issues and propose actionable, data-driven solutions.nStrong Communicator:

Ability to present data insights clearly and persuasively to both technical and non-technical stakeholders.nCuriosity and Drive:

A passion for problem-solving and the ability to thrive in a fast-paced, ambiguous environment. You’ll be excited to dive into our business performance data and uncover opportunities to drive growth.nBenefits:

Company RSU’s (Company Shares)nPrivate Medical + Dental covernAnnual performance appraisal and bonusnEmployee Discount + FAM membershipnCareer growth opportunitiesnCompany Summary & EEOC Statement:nAt Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.nAnd now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.nLike what you’re hearing? Then join us on Team Blue.nGopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

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