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SENIOR DATA SCIENTIST

3-MONTH CONTRACT
LONDON (HYBRID: 2 DAYS ON-SITE)
£600 PER DAY (INSIDE IR35)

This position as a Data Scientist offers the opportunity to work within a central and innovative team in the aviation sector. The role focuses on optimizing engineering workflows and maintenance operations to enhance aircraft availability. This is an excellent opportunity to deliver impactful solutions in a data-driven environment, where you will collaborate with a growing team of experts.

THE COMPANY

This organization has been at the forefront of innovation in aviation and engineering. The team is dedicated to leveraging data science to improve operational efficiency and address key challenges in aircraft maintenance and resource allocation. With recent investments in data science initiatives, they are driving significant progress and innovation in their domain.

THE ROLE

As a Data Scientist, your primary goal will be to develop a model to optimize task assignment for airline staff. Key responsibilities include:

• Model Development: Creating and deploying an optimization model that assigns teams of employees to specific tasks
• Data Integration: Collecting and consolidating data from various sources to ensure comprehensive and accurate insights.
• Prototyping to Deployment: Working with an existing prototype to refine, test, and operationalize it for production use.
• Tool Usage: Utilizing DataIQ (an end-to-end MLOps tool) for low-code data preparation and model building.
• Collaboration: Partnering with data architects and engaging with users to ensure solutions align with real-world requirements and deliver tangible results.
• Project Deadlines: Completing the project, including testing, by a hard deadline in April.

KEY SKILLS AND REQUIREMENTS

The ideal candidate will have:

• Strong experience in SQL and model optimization.
• Experience in developing and deploying machine learning or optimization models into production (essential).
• Python knowledge (preferred).
• Ability to engage with commercial users and embed solutions effectively into workflows.
• Understanding of MLOps practices, with experience using tools like DataIQ or similar.

HOW TO APPLY

Please register your interest by sending your CV

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The company

Harnham have partnered with a reputable client within the aviation industry who is looking to innovate their Data Science capabilities. This is a pivotal role in ensuring operational efficiency and optimizing resource allocation within their maintenance teams.

The role

This position offers the opportunity to develop a model for optimizing aircraft maintenance operations while aircraft are on stand. Currently, maintenance tasks are manually assigned, leading to inefficiencies and wasted time. The proposed model will automate work planning by:

• Collecting and structuring relevant data

• Creating optimized work plans for engineering teams

• Assigning the right engineers with the required skills for each aircraft

Your experience

The role will be embedded within a dedicated team, consisting of one senior and one junior data scientist. The organization employs Data IQ as an end-to-end MLOps tool to streamline low-code data preparation and model building. Additionally, collaboration with architecture teams will be essential. A prototype model is already in place, and the objective is to complete full development and testing by April.

Technical Requirements

• Strong expertise in SQL and optimization models

• Python proficiency (preferred but not essential)

• Experience in developing and deploying data science solutions (essential)

• Ability to engage with commercial teams to ensure practical implementation

• Strong stakeholder engagement skills to drive adoption and usability

Logistics The role is based within our Data Science team and will report directly to senior leadership. The successful candidate will have a clear mandate to drive efficiency, capitalize on data-driven insights, and ensure operational excellence within aircraft maintenance.

I’d love you to apply if you are passionate about using data science to solve complex logistical challenges and drive meaningful business impact.

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Freelance Data Analyst Role – £450/day Inside IR35
2-Month Contract | Hybrid Working (2-3 Days in Office)
Potential for Extension

We are seeking a highly skilled Data Analyst to join a dynamic team working with a leading automotive client. This is an exciting opportunity for an individual with a strong background in statistical analysis, data manipulation, and business intelligence.

Key Skills and Experience

• Python Expertise: Essential for data analysis, A/B testing, forecasting, and statistical testing (T-tests).
• A/B Testing: Experience in designing and executing tests on product features and interpreting results.
• GA4 (Google Analytics 4): Proficiency in web analytics platforms such as GA4, Adobe Analytics, or Amplitude.
• Power BI: Strong skills in business intelligence tools, with the ability to create impactful visualisations.
• Storytelling and Stakeholder Engagement: Demonstrated experience in post-campaign analysis, presenting insights, and crafting compelling narratives for stakeholders.

Key Responsibilities

• Conduct in-depth analysis using Python and BI tools to drive actionable insights.
• Utilise web analytics platforms (GA4, Adobe Analytics, or Amplitude) for data gathering and analysis.
• Perform statistical analysis, including A/B testing and forecasting, to optimise performance.
• Deliver post-campaign analysis, creating impactful presentations and engaging stakeholders with clear data storytelling.

Logistics

• Day Rate: £450/day (inside IR35).
• Contract Length: 2 months, with a possibility of extension.
• Location: Hybrid working, with 2-3 days per week in the office.

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Senior Data Wrangler

Are you a seasoned data expert with a knack for turning messy data into organised, actionable insights? Do you thrive in a fast-paced, collaborative environment? Join our client as a Senior Data Wrangler and play a key role in transforming the way our organisation handles and utilises data.

About the Role

You’ll work across three squads, supporting our efforts to organise, harmonise, and prepare data for our insights teams. With a focus on data from across the organisation, you’ll be the crucial link between engineering and analytics-ensuring our data is accurate, fit for purpose, and ready to drive key business decisions.

Responsibilities:

• Harmonise and organise messy data from diverse sources on the GCP platform.
• Build and maintain clean, structured data sets for use by analysts and Qlik teams.
• Add filters and improve data models to ensure usability and accuracy.
• Collaborate with engineering teams to ingest and process data effectively.
• Act as a problem solver, questioning and verifying data accuracy.
• Work with stakeholders across the organisation to meet commercial needs.

About You

We’re looking for a detail-oriented problem-solver with a commercial mindset and a passion for data. You’ll have:

• 5+ years of experience in a senior data role.
• Expertise in SQL (essential).
• Familiarity with Google Cloud Platform (GCP) (nice to have).
• A strong analytical mindset and attention to detail.
• Experience with data modelling and wrangling.
• A proven ability to question, verify, and refine data for business needs.

Offer

• £450/day on a 3-month rolling contract.
• The opportunity to shape and optimise critical data work flows.
• A dynamic, supportive team environment.

Be a part of a team that values innovation, accuracy, and collaboration. If you’re ready to take on the challenge of wrangling messy data into business-ready insights, simply click apply or send your CV

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Senior Research Scientist – Health Tech (3-Month Contract)

Day rate = £450/day

Location: Remote – UK Based

Contract Duration: 3 months, with the possibility of extension.

Role Overview:
Lead the analysis of large-scale survey data from Nigeria, Senegal, and Ivory Coast to support health initiatives. Provide data-driven insights and recommendations aligned with project goals.

We are hiring a Senior Research Scientist for a 3-month contract to lead data-driven projects in women’s health and family planning across developing countries. This role requires expertise in research, data science, and the ability to deliver actionable insights that inform policy and decision-making.

Essential Skills & Qualifications:

• Education:

  • Ph.D. (or equivalent) and a master’s degree in a relevant field.

• Technical Skills:

  • Expertise in R for statistical analysis and data manipulation.

  • Experience with GitHub for version control.

  • Strong knowledge of data processing and analytics pipelines.

• Industry Experience:

  • Proven background in health tech, public health, or pharma.

  • Demonstrated success in delivering research-driven insights and recommendations.

Due to the specifics and nicheness of this role only candidates with relevant industry experience and proficiency in R and GitHub will be considered

Key Responsibilities:

• Data Analysis:

  • Develop and manage data pipelines for large-scale survey data.

  • Extract actionable insights to support strategic decision-making.

• Statistical Insights:

  • Conduct causal analyses to identify trends in women’s health and family planning.

  • Present clear, impactful findings to stakeholders.

• Collaboration:

  • Work with cross-functional teams, including data scientists and consultants.

  • Communicate insights effectively to stakeholders and funders.

Preferred Qualifications:

• Experience with data projects in developing countries.

• Understanding of women’s health and family planning challenges.

• Proven ability to collaborate in multidisciplinary teams.

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CRM & Insight Manager

UP TO £450 PER DAY

REMOTE – Must be based in the UK

Are you an experienced CRM Manager who is looking for your next exciting contract? We are thrilled to offer an exciting opportunity for a CRM Insight Manager to focus on managing and delivering Customer Insights through data-driven analytics and play a key role in driving targeted CRM campaigns via email, empowering the marketing team and broader business to effectively drive customer growth.

THE COMPANY

This leading transport business has various travel services in the UK, Europe, North Africa, North America and the Middle East.

THE ROLE

As a CRM & Insights Manager, you will be responsible for managing and delivering Customer Insights through data and analytics, as well as executing targeted CRM campaigns via email. Your work will empower the marketing team and broader business to drive customer growth and achieve success.

Specifically, you can expect to be involved in the following:

• Enhance customer understanding and contribute to the development of a unified customer view, optimizing Salesforce Marketing Cloud for improved targeting and value through the measurement of effective CRM campaigns.
• Leverage analytical expertise to assess the effectiveness of CRM, Marketing, and Business Development activities, driving continuous improvement.
• Create and maintain performance dashboards for key initiatives, tracking trends and providing actionable insights to stakeholders using tools such as Tableau or other existing platforms.
• Support the new product development pipeline by delivering insightful data analytics, models, and metrics to inform decision-making.
• Develop and maintain predictive models that guide real-time decision-making and determine the next best actions.
• Collaborate with the media agency to ensure accurate attribution, optimize marketing investments and programs, and embedding insights into audience planning and the execution of media campaigns.

SKILLS AND EXPERIENCE

• Proven experience in a senior role within analytics.
• Knowledge of using Salesforce, SAS, Braze, SQL/Postgres SQL, Tableau
• Hands-on experience with setting up multi-channel campaigns
• Transport/Agency experience is a plus

HOW TO APPLY

Please register your interest by sending your CV to Daniel Oxenham-Anderson via the Apply link on this page.

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Data Scientist

Hybrid (NYC)

3-Month Contract

$75-85/hr

Role Overview

We are partnered with wealth management firm that specializes in delivering tailored wealth management, financial planning, and investment services to high-net-worth individuals, families, and businesses. The firm focuses on providing comprehensive solutions to help clients manage and grow their wealth, plan for retirement, and navigate complex financial situations.

Responsibilities

• Partner with Product, Engineering, and/or Design to enable clear, impactful, actionable, and innovative insights that shape key decisions.
• Conduct rigorous, high-quality analyses that shape the way they think about the future.
• Define and evaluate key metrics and understand their levers.
• Leverage clear communication skills, with an aptitude for translating analysis results into compelling and comprehensible concrete recommendations for the business.
• Adapt to a rapid changing environment and be proactively inquisitive to identify new areas of opportunity for Data Science.
• Have an eye for scale and identify ways in which your work can have broader impact.
• Have a strong sense of responsibility and integrity and can balance both short-term and long term objectives.

Qualifications

• 3+ years of experience in Data Science & Analytics (prior experience in a start-up, fintech, or social media companies in a product/go-to-market capacity is a plus).
• SQL – you should be fluent with UDFs, joins, aggregation functions, and window functions to build complex queries for analyses.
• Prior experience with Python/R.
• Experience with visualization tools like Tableau, Looker, Amplitude
• Experience with ETL frameworks like Airflow & Stitch.
• Advanced degree in a quantitative field or equivalent experience in one or more of the following: Mathematics, Statistics, Economics, Computer Science, Machine Learning, Data Science, Engineering, etc.
• Strong knowledge of Statistics, Experiments (e.g. A/B Testing), Hypothesis testing, Machine Learning, and other Analytics approaches.
• Bonus:
• Technical chops w/ Git, Terminal, CLI, etc.
• Experience in: Causal Inference, Experiments + Variance Reduction (e.g. Delta Method, Post Stratification, CUPED), Machine Learning (Regression, Classification, Clustering, SVD/PCA, etc.), & Behavioral Econ.

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The Role

As a Junior Data Scientist, you will play a crucial role in designing and implementing linear regression models, cleansing and organising data, and constructing robust pipelines. This is an excellent opportunity to work with modern technology and collaborate with experienced professionals.

Key Responsibilities

• Build and organise linear regression models using Python.
• Collect, cleanse, and organise KPIs from various business sources.
• Develop and maintain robust scripts and pipelines for data analysis.
• Create visualisation in Tableau and Python for reporting purposes.
• Work with AWS and Docker frameworks to deploy and manage models.
• Leverage advanced statistical knowledge to deliver accurate predictive insights.

Requirements

Must-Have Skills:

• Strong proficiency in Python, including libraries such as Pandas and NumPy.
• Solid statistical knowledge and ability to apply it effectively.
• Experience with SQL and Excel for data manipulation and analysis.
• Familiarity with software tools like web scrapers and robust scripting techniques.

Preferred Skills:

• Commercial experience in data science projects.
• Knowledge of AWS and Docker frameworks.
• Experience with data visualisation tools like Tableau.
• A degree in Mathematics, Computer Science, or a related field.

Benefits:

• Flexibility to work part-time (minimum 24 hours/week) or full-time.
• Opportunity to work fully remotely.
• Be part of a small, supportive team where your contributions will have a direct impact.
• A chance to transition to a permanent role within a growing company.

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THE ROLE

In this role, you will play a key part in designing, implementing, and managing robust DevOps pipelines and infrastructure to support the deployment of the company’s applications.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines to support seamless deployment processes.
• Manage and optimise cloud-based infrastructure (e.g., AWS, Azure, GCP).
• Automate and improve operational processes for performance and reliability.
• Collaborate closely with development and operations teams to ensure seamless integration.
• Implement and maintain monitoring, logging, and alerting solutions.
• Ensure the security and compliance of systems and data.

Requirements

Must-Have Skills:

• Proven experience as a DevOps Engineer in a contract or permanent capacity.
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD).
• Expertise in cloud platforms (AWS, Azure, or GCP).
• Proficiency with infrastructure-as-code tools (Terraform, CloudFormation).
• Strong scripting skills (e.g., Python).
• Experience with containerisation and orchestration tools (Docker, Kubernetes).
• Familiarity with monitoring and logging tools.

Nice-to-Have Skills:

• Knowledge of Agile/Scrum development methodologies.
• Experience with server less architectures and micro-services.
• Understanding of security best practices and tools.

What We Offer

• Hybrid working pattern.
• Opportunity to work on exciting projects.
• The potential for contract renewal.

How to Apply

Please register your interest via the apply link on this page, or send your CV

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THE COMPANY:

This digital bank is reshaping the traditional banking experience, offering a range of financial services entirely from the comfort of your own home. The bank aims to simplify personal finance, providing users with real-time insights into their spending, budgeting tools, and instant notifications.

ROLE OVERVIEW:

As an Analytics Engineer, you will be modelling data using DBT and take part in daily basis collaborations with wider teams. You will be a specialist in SQL, DBT and have a good knowledge of business requirements. The goal is to reduce cloud costs by 12% within a 6-month contract.

If you have exceptional communication skills and the incredible ability to make an impact, apply below!

REQUIRED SKILLS AND EXPERIENCE:

• Experience of data modelling with DBT within a professional environment

• Experience using SQL within a professional environment

• Understanding of code reviews

• The ability to gather insights from meetings in order to model the data

• A background in Data Engineering

• Good communication skills

BENEFITS:

• Fully remote role!

HOW TO APPLY:

Please register your interest by sending your CV

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Job Title: Digital Insight Analyst

Location: London (1-2 days a week in office)

Contract: 3 months (Inside IR35)

Rate: £450 – £500 per day

Role Overview: , and will be responsible for analysing digital data to provide actionable insights that drive marketing strategies.

Key Responsibilities:

• Analyse and interpret digital data from various sources, including GA4.
• Develop and maintain dashboards and reports using PowerBI.
• Utilise Python for data manipulation, analysis, and automation.
• Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
• Present findings and insights to stakeholders in a clear and concise manner.

Requirements:

• Proven experience as a Digital Insight Analyst or similar role.
• Proficiency in GA4, PowerBI, and Python.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Availability to work 1-2 days a week in a London office.

For more information please reach out to Grace McCrudden

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Digital Insight Analyst – Contract
£450-£500 per day – Inside IR35
London – Hybrid
Agency

Are you a contractor with experience in Digital Analytics and Visualisation? Do you thrive in dynamic environments and enjoy working on varied projects? We’re looking for a Data Analyst to join an agency client and contribute to exciting projects for one of the world’s most prestigious automotive brands.

In this role, you will be working closely with a small team to deliver impactful analytics solutions on a project-by-project basis.

Role & Responsibilities

• Working on a Google Analytics (GA4) project to understand customer behaviour on the customer websites
• Conducting a full website audit, identifying user journey leaks, and improving site performance
• Building dashboards in Power BI (or a similar visualisation tool) to visualise key results and performance metrics
• Campaign reporting and performance tracking
• Conducting exploratory analytical deep dives to uncover insights
• Collaborating with teams handling customer and financial services data to create a holistic view of customer journeys across CRM, website, and other channels

Skills & Experience

• Strong Google Analytics (GA4) experience
• Experience with Power BI (or similar visualisation tools)
• Coding experience in SQL and Python (preferred, but not mandatory).
• Ability to work closely with other teams and overlay customer data with existing data sets to provide actionable insights

Benefits

£450-£500 per day, inside IR35, London – 1-2 days per week in the office

How to Apply

Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page

Google Analytics / GA4 / Power BI / Dashboards / Reporting / Customer Journey / SQL / Python / Digital / Insights / Analyst

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