714 Data Search Analyst jobs in the United Kingdom

Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

Data Science Manager

Up to £120,000

London (Remote/Hybrid)

Company:

Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.

Responsibilities:

• Lead and deliver scalable statistical models and analyses that drive business decisions
• Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
• Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
• Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
• Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Data Science Manager

London (2–3 days per week)

Up to £120,000

A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets.

The business is committed to sustainability and innovation, operating across direct-to-consumer, marketplace, and B2B channels. With a strong technology backbone and global reach, they’re on a mission to reinvent how pre-owned products are bought and sold.

This is a role, balancing individual contribution with team leadership.

What You’ll Do

• Lead data science projects focused on pricing optimisation and revenue management.
• Manage and mentor a small international team of data scientists (UK and US based).
• Build statistical and machine learning models to enhance customer value and business outcomes.
• Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference).
• Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact.
• Lead data strategy for pricing across inbound and outbound flows.

What We’re Looking For

• Proven data science experience, ideally focused on pricing and revenue optimisation.
• Proven leadership in growing and mentoring data teams.
• Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud.
• Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation.
• Hands-on experience with experimentation and causal inference.
• Strong MLOps knowledge and experience deploying models into production environments using CI/CD.
• Experience with data visualisation tools like Tableau, and communicating to both technical and non-technical audiences.

If this role looks of interest, please apply below.

Please note, this role cannot offer sponsorship.

Data Science Manager – Market Research Consultancy

London/Hybrid

Up to £65,000 depending on experience

We are looking for an inquisitive, ambitious, and dynamic individual to join the Data Science team of an established research consultancy to help them continue to develop innovative ways to deliver insight, strategy and consultancy to clients. In your role as a Data Science manager, your skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics initiatives. Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us.

You will:

• run a range of key standard methodologies and execute them with little supervision;
• align client business problems into analytical solutions;
• lead data science projects with your manager’s supervision;
• conduct research to identify new opportunities for data science applications within the industry and spot new opportunities to meet client needs;
• develop custom scripts or tools to streamline routine tasks;
• present results of data science solutions to internal and external clients;
• get involved in team development initiatives and run new methodologies;
• get involved in company-wide initiatives and developments; and
• contribute to internal and external meetings with ideas and suggestions.

You must:

• have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data;
• have excellent communication skills and can easily and clearly explain complex concepts in plain English;
• have experience leading in major projects and can easily and clearly explain complex analytical concepts to colleagues and clients in plain English;
• consistently demonstrate excellent communications skills, the ability to prioritise and multi-task on a daily basis, whilst meeting deadlines;
• take pride in and produce high-quality work, with attention to detail, and have the respect of your colleagues;
• You’re a team player and care about elevating and developing junior members of the team;
• are interested in social attitudes and what makes people, consumers and businesses tick;
• Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression;

Technical must-haves:

• You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise;
• You have experience running Segmentation projects using different clustering methods;
• You are expert with R and/or Python;

Nice-to-haves:

• You have an interest in current affairs and politics;
• You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis;
• You have experience or knowledge of Bayesian methods, machine learning methods, text analytics;
• You have experience or knowledge of analysing client’s CRM data;
• You have experience or knowledge of organisational or financial analytics;
• You are able to programme in VBA and build excel-based simulators;

Data Science Manager – Market Research Consultancy

London/Hybrid

Up to £65,000 depending on experience

We are looking for an inquisitive, ambitious, and dynamic individual to join the Data Science team of an established research consultancy to help them continue to develop innovative ways to deliver insight, strategy and consultancy to clients. In your role as a Data Science manager, your skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics initiatives. Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us.

You will:

• run a range of key standard methodologies and execute them with little supervision;
• align client business problems into analytical solutions;
• lead data science projects with your manager’s supervision;
• conduct research to identify new opportunities for data science applications within the industry and spot new opportunities to meet client needs;
• develop custom scripts or tools to streamline routine tasks;
• present results of data science solutions to internal and external clients;
• get involved in team development initiatives and run new methodologies;
• get involved in company-wide initiatives and developments; and
• contribute to internal and external meetings with ideas and suggestions.

You must:

• have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data;
• have excellent communication skills and can easily and clearly explain complex concepts in plain English;
• have experience leading in major projects and can easily and clearly explain complex analytical concepts to colleagues and clients in plain English;
• consistently demonstrate excellent communications skills, the ability to prioritise and multi-task on a daily basis, whilst meeting deadlines;
• take pride in and produce high-quality work, with attention to detail, and have the respect of your colleagues;
• You’re a team player and care about elevating and developing junior members of the team;
• are interested in social attitudes and what makes people, consumers and businesses tick;
• Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression;

Technical must-haves:

• You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise;
• You have experience running Segmentation projects using different clustering methods;
• You are expert with R and/or Python;

Nice-to-haves:

• You have an interest in current affairs and politics;
• You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis;
• You have experience or knowledge of Bayesian methods, machine learning methods, text analytics;
• You have experience or knowledge of analysing client’s CRM data;
• You have experience or knowledge of organisational or financial analytics;
• You are able to programme in VBA and build excel-based simulators;

Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

Data Science Manager

Remote (UK-Based)

Up to £75,000

The Company

This UK-based start-up has achieved rapid growth in just two years, now boasting a team of ~40 people across divisions. Following a successful funding round and with a strong pipeline ahead, they continue to scale at pace.

They specialise in predictive analytics and KPI tracking across a broad range of companies and industries. Their predictive insights empower hedge funds and investors with critical performance data, ahead of public earnings reports.

The Role

As a Data Science Manager , you’ll take ownership of the end-to-end development of KPI prediction models and manage a team of data scientists, helping refine their workflows and ensure high-quality deliverables.

You will:

• Lead and mentor a team of data scientists in building predictive models.
• Oversee data cleaning, feature engineering, and model development pipelines.
• Build and maintain robust, scalable linear regression and statistical models for KPI forecasting.
• Drive improvements in internal tooling and API integrations.
• Collaborate closely with leadership, engineering, and the revenue team to translate business needs into data science solutions.
• Play a key role in product innovation, helping shape how new data products are designed and delivered.

What They're Looking For

• 5+ years’ experience in data science or a closely related field.
• Proven leadership experience — mentoring or managing junior data scientists.
• Expert Python programming skills (essential).
• Strong grasp of linear regression, statistical modeling, and data processing best practices.
• Proficient in SQL (MySQL preferred).
• Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus.
• Familiarity with Docker, time series forecasting, or LLM technologies is advantageous.
• A background or exposure to finance is useful but not mandatory.
• Bachelor’s degree (or higher) in a quantitative or technical field.
• Strong coding samples (e.g., GitHub projects).
• Practical experience building production-level models and data pipelines.
• Ability to bridge data science and product development goals.

If this role looks it could be of interest, please reach out to Joseph Gregory, or apply here.

Data Science Manager

Up to £120,000

London (Remote/Hybrid)

Company:

Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.

Responsibilities:

• Lead and deliver scalable statistical models and analyses that drive business decisions
• Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
• Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
• Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
• Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page