Explore exciting Data Scientist jobs in 338 Data Scientist jobs in London
Data Scientist
London, London
Digital Waffle
Posted today
Job Viewed
Job Description
Senior Data Scientist | Data, Python, Science Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform. For this position, they are looking for applicants with the following skillset: A passion for clean data/statistics At least 3 years’ previous experience as a data scientist Python skills/experience Comfortable in an Agile environment Knowledge of GitHub Interest in gaming/esports Previous experience with machine learning models and established statistics In return, they can offer: A salary of up to £85k (depending on experience) A generous training/personal development budget Transport contributions Flexible working hours A great list of perks in a brand-new office (when you are in the office) If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
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0
Data Scientist
London, London
Harnham
Posted today
Job Viewed
Job Description
Data Scientist (PropTech) London - Hybrid (3 days in office) Up to £70,000 About the Role An established data-led business is looking for a commercially-minded Data Scientist to join their growing London team. You’ll collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self-starter mindset with a passion for innovation and impact through data If this role looks of interest, please reach out to Joseph Gregory / apply below.
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
London, London
Harnham
Posted today
Job Viewed
Job Description
Data Scientist (PropTech) London - Hybrid (3 days in office) Up to £70,000 About the Role An established data-led business is looking for a commercially-minded Data Scientist to join their growing London team. You’ll collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self-starter mindset with a passion for innovation and impact through data If this role looks of interest, please reach out to Joseph Gregory / apply below.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
London, London
Harnham
Posted today
Job Viewed
Job Description
Data Scientist – Marketing Analytics 3-Month Contract £480 Per Day Outside IR35 Our client is a rapidly growing business operating in over 80 countries. The data science function is relatively new and plays a pivotal role in measuring marketing effectiveness and refining campaign strategies across global markets. We are looking for a Data Scientist to join the marketing analytics team, focusing on marketing effectiveness, experimentation, and automation. You will work closely with marketing teams to evaluate campaigns, measure impact, and help drive data-informed decisions across multiple platforms including Meta and Google. Key Responsibilities: Lead Marketing Mix Modelling (MMM) initiatives to evaluate campaign effectiveness using tools such as Robyn (Meta) and Meridian (Google). Finalise and implement the A/B testing framework, ensuring robust experiment design and causal impact measurement. Automate modelling pipelines to streamline marketing analytics processes. Work hands-on with complex, incomplete datasets and build customer lifecycle and LTV models. Translate insights into actionable recommendations for marketing strategy and performance optimisation. Collaborate with internal stakeholders and third-party clients (e.g., VS, JoJo, Zalando) to align analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience with causal inference, MMM modelling, and experimentation . Strong analytical and problem-solving skills with the ability to work independently. Excellent communication skills to explain complex insights to non-technical stakeholders. Desirable: Experience with Geolift testing, time series analysis, and other advanced experimentation techniques. Prior exposure to multiple marketing channels and campaign analytics.
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3
Data Scientist
London, London
Harnham
Posted today
Job Viewed
Job Description
Data Scientist Contract Length: 4-Months Day Rate: £520 Outside IR35 We’re looking for a Data Scientist to join an exciting project focused on multi-touch attribution modelling within a leading consumer-focused organisation. This is a hands-on, independent role suited to someone from an R&D, innovation, or consulting background who enjoys solving complex data challenges and delivering impactful, proof-of-concept solutions - not just perfect models. Key Responsibilities Build and implement multi-touch attribution models to understand marketing impact and customer journeys. Analyse B2C purchase path data to identify key conversion drivers and optimise spend allocation. Create proof-of-concept models using imperfect datasets, prioritising value delivery over perfection. Collaborate with marketing and analytics teams to translate findings into actionable insights. Communicate technical results clearly to non-technical stakeholders. Skills & Experience Proven experience developing multi-touch attribution or incrementality models. Strong SQL and Python skills, able to query, clean, and manipulate complex datasets. Background in R&D, start-up, or consulting environments where innovation and adaptability are key. Experience working with marketing and customer journey data. Solid understanding of statistics, experimentation, and data-driven storytelling. Confident communicator who can work independently and deliver results quickly.
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
London, London
ONMO
Posted today
Job Viewed
Job Description
ABOUT US Onmo believes that everyone has the right to access, understand and manage their money with confidence. Our ambition is to improve lives by providing better clarity, intelligence and technology to empower every individual in making the smartest financial decisions. We may be young but we have an incredible team in place and big ambitions for the years ahead. We design our products to help demystify money matters wherever possible, providing customers with more financial control and flexibility in their lives. This helps them get more from what they have, or with smart decisions, make more of the same. It also means people spend less time with the negative aspects of money and more on the positive - enjoying what the world has to offer. ABOUT THE ROLE We have a solid model framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating plan and achieve customer focus and ambitions. This means you’ll be contributing to the development and execution of the credit risk team’s roadmap and helping to prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for re-evaluation. Analytics Design and conduct experiments to test hypotheses and improve decisionmaking, defining expected outcomes and tracking against these. Understand wider process and customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate granular performance against expectations, checking adherence to risk appetite and regulatory requirements. Define appropriate pricing and limits, based on risk and return principles, working closely with the commercial team to understand market conditions. ABOUT YOU Your Approach Self-motivating, with a natural interest in understanding how things work and fit together. Ability to switch from working independently to collaborating across the business with ease. Happy to work at a growing company, where one day does not always look the same as the next and everyone rolls up their sleeves to help make things happen. Solution-oriented with a drive to engage others to deliver solutions improving customer experience and profitability. Ways of Working Create and feed into structured working, simplifying onboarding of others and functioning of the team. Take others with you, by sharing your work, and creating clear documentation. Proactive automation of work, to allow more time for analysis and impactful change QUALIFICATIONS / EXPERIENCE Exposure working with varying data sources (bureau and open banking data would be a plus). Foundational understanding of how credit cards work. Strong coding skills, with a focus on structure and automation. Defining and building insightful MI. Good presentation skills, using the data to tell a story. Ability to prioritize workload and manage time effectively, communicating proactively. Excited about defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum.
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist
London, London
Harnham
Posted today
Job Viewed
Job Description
Data Scientist Contract Length: 4-Months Day Rate: £520 Outside IR35 We’re looking for a Data Scientist to join an exciting project focused on multi-touch attribution modelling within a leading consumer-focused organisation. This is a hands-on, independent role suited to someone from an R&D, innovation, or consulting background who enjoys solving complex data challenges and delivering impactful, proof-of-concept solutions - not just perfect models. Key Responsibilities Build and implement multi-touch attribution models to understand marketing impact and customer journeys. Analyse B2C purchase path data to identify key conversion drivers and optimise spend allocation. Create proof-of-concept models using imperfect datasets, prioritising value delivery over perfection. Collaborate with marketing and analytics teams to translate findings into actionable insights. Communicate technical results clearly to non-technical stakeholders. Skills & Experience Proven experience developing multi-touch attribution or incrementality models. Strong SQL and Python skills, able to query, clean, and manipulate complex datasets. Background in R&D, start-up, or consulting environments where innovation and adaptability are key. Experience working with marketing and customer journey data. Solid understanding of statistics, experimentation, and data-driven storytelling. Confident communicator who can work independently and deliver results quickly.
This advertiser has chosen not to accept applicants from your region.
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6
Data Scientist
London, London
ONMO
Posted today
Job Viewed
Job Description
ABOUT US Onmo believes that everyone has the right to access, understand and manage their money with confidence. Our ambition is to improve lives by providing better clarity, intelligence and technology to empower every individual in making the smartest financial decisions. We may be young but we have an incredible team in place and big ambitions for the years ahead. We design our products to help demystify money matters wherever possible, providing customers with more financial control and flexibility in their lives. This helps them get more from what they have, or with smart decisions, make more of the same. It also means people spend less time with the negative aspects of money and more on the positive - enjoying what the world has to offer. ABOUT THE ROLE We have a solid model framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating plan and achieve customer focus and ambitions. This means you’ll be contributing to the development and execution of the credit risk team’s roadmap and helping to prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for re-evaluation. Analytics Design and conduct experiments to test hypotheses and improve decisionmaking, defining expected outcomes and tracking against these. Understand wider process and customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate granular performance against expectations, checking adherence to risk appetite and regulatory requirements. Define appropriate pricing and limits, based on risk and return principles, working closely with the commercial team to understand market conditions. ABOUT YOU Your Approach Self-motivating, with a natural interest in understanding how things work and fit together. Ability to switch from working independently to collaborating across the business with ease. Happy to work at a growing company, where one day does not always look the same as the next and everyone rolls up their sleeves to help make things happen. Solution-oriented with a drive to engage others to deliver solutions improving customer experience and profitability. Ways of Working Create and feed into structured working, simplifying onboarding of others and functioning of the team. Take others with you, by sharing your work, and creating clear documentation. Proactive automation of work, to allow more time for analysis and impactful change QUALIFICATIONS / EXPERIENCE Exposure working with varying data sources (bureau and open banking data would be a plus). Foundational understanding of how credit cards work. Strong coding skills, with a focus on structure and automation. Defining and building insightful MI. Good presentation skills, using the data to tell a story. Ability to prioritize workload and manage time effectively, communicating proactively. Excited about defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum.
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist
London, London
Digital Waffle
Posted today
Job Viewed
Job Description
Senior Data Scientist | Data, Python, Science
Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform.
For this position, they are looking for applicants with the following skillset:
- A passion for clean data/statistics
- At least 3 years’ previous experience as a data scientist
- Python skills/experience
- Comfortable in an Agile environment
- Knowledge of GitHub
- Interest in gaming/esports
- Previous experience with machine learning models and established statistics
In return, they can offer:
- A salary of up to £85k (depending on experience)
- A generous training/personal development budget
- Transport contributions
- Flexible working hours
- A great list of perks in a brand-new office (when you are in the office)
If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
This advertiser has chosen not to accept applicants from your region.
8
Data Scientist
London, London
Harnham
Posted today
Job Viewed
Job Description
Data Scientist
- Contract Length: 4-Months
- Day Rate: £520 Outside IR35
We’re looking for a Data Scientist to join an exciting project focused on multi-touch attribution modelling within a leading consumer-focused organisation.
This is a hands-on, independent role suited to someone from an R&D, innovation, or consulting background who enjoys solving complex data challenges and delivering impactful, proof-of-concept solutions - not just perfect models.
Key Responsibilities
- Build and implement multi-touch attribution models to understand marketing impact and customer journeys.
- Analyse B2C purchase path data to identify key conversion drivers and optimise spend allocation.
- Create proof-of-concept models using imperfect datasets, prioritising value delivery over perfection.
- Collaborate with marketing and analytics teams to translate findings into actionable insights.
- Communicate technical results clearly to non-technical stakeholders.
Skills & Experience
- Proven experience developing multi-touch attribution or incrementality models.
- Strong SQL and Python skills, able to query, clean, and manipulate complex datasets.
- Background in R&D, start-up, or consulting environments where innovation and adaptability are key.
- Experience working with marketing and customer journey data.
- Solid understanding of statistics, experimentation, and data-driven storytelling.
- Confident communicator who can work independently and deliver results quickly.
This advertiser has chosen not to accept applicants from your region.
9