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Discover the latest Data Scientist jobs on Haystack, your go-to IT job board for top data science careers. Whether you're an experienced data scientist or just starting out, explore exciting opportunities with leading companies looking for experts in machine learning, data analysis, and predictive modeling. Start your data science career today and find the perfect role that matches your skills and ambitions.
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Senior Data Engineer - Remote
McCabe & Barton
United Kingdom
Fully remote
Mid - Senior
£60k - £75k
RECENTLY POSTED
python
sql
snowflake
A leading Financial Services client is seeking an experienced Senior Data Engineer to join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, you’ll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights.
You’ll use your advanced SQL skills to build and optimise data structures, alongside tools such as Snowflake, Azure, and Python. This is a high-impact role where you’ll influence architecture, streamline processes, and drive automation across the data landscape.
The role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working, once day in office every quarter
Key Responsibilities:
Design, build, and maintain automated ETL pipelines and high-performance database structures.
Manage and enhance a Snowflake ecosystem for streaming and batch workflows.
Support the adoption of Generative AI (GenAI) and lead platform innovation with Snowflake and Microsoft technologies.
Skills & Experience:
Advanced SQL skills (DDL, DML, query optimisation) with a track record of building efficient, scalable database structures.
Strong knowledge of automated ETL processes.
Experience with Snowflake, Azure Data Factory, and Azure DevOps.
Proficiency in Python for data engineering tasks.
Agile delivery experience.
Willingness to work with other modern data engineering toolsets.
If you’re an experienced Senior Data Engineer with the required skills, please apply today.
Data Analyst and Modeller
Hydrogen Group
Glasgow
Hybrid
Mid
£450/day
RECENTLY POSTED
sql
snowflake
Data Analyst & Modeller
Glasgow/Hybrid
12 month contract
Days on site: 2- 3
£450 p/d Inside IR35
Role Description:
Seeking a highly skilled Data Analyst & Modeller to support immediate discovery and analysis activities within the data transformation initiatives. The ideal candidate will possess deep expertise in data process evaluation, lineage tracing, usage analysis, and Teradata SQL interrogation. This role demands strong analytical thinking, technical proficiency, and the ability to synthesize complex data relationships with precision and clarity.
Key Responsibilities
Conduct discovery analysis to evaluate existing data processes and structures.
Perform data lineage and usage analysis to support data mapping and design.
Interrogate data using Teradata SQL and BTEQ scripts to uncover insights and validate assumptions.
Collaborate with stakeholders to understand data requirements and translate them into actionable models.
Document findings, data flows, and lineage with clarity and accuracy.
Support the development of data models that align with business and technical needs.
Identify and resolve data quality issues and inconsistencies.
Required Skills & Qualifications
Proven experience in Teradata SQL and BTEQ interrogation.
Strong understanding of data lineage, data mapping, and data process evaluation.
Ability to quickly synthesize complex data relationships and present findings clearly.
Demonstrated critical thinking in data design and architecture.
Experience working in large-scale data environments and with cross-functional teams.
Excellent communication and documentation skills.
Preferred Qualifications
Familiarity with data governance frameworks and metadata management tools.
Knowledge of other SQL dialects or data platforms (eg, Snowflake, Oracle, BigQuery).
Contract Data Scientist - eDV Cleared
Searchability
London
In office
Mid
£600/day - £850/day
RECENTLY POSTED
python
pandas
DATA SCIENTIST - E-DV CLEARED
NEW CONTRACT OPPORTUNITY FOR A DATA SCIENTIST IN LONDON WITH ENHANCED DV CLEARANCE
New contract opportunity with a leading consultancy for a Data Scientist
London based, 3-4 days on site
Enhanced DV Clearance required to start
12 month rolling contract
Daily rate up to £850
To apply, email: (see below)
About
We’re seeking an experienced Data Scientist with enhanced Developed Vetting (DV) clearance to join a leading consultancy supporting mission-critical UK Government projects. This is a hands-on, high-impact role within a secure environment, where your analytical expertise will directly contribute to national operational outcomes.
The Role
As a Data Scientist, you’ll work within a multidisciplinary team to extract insight from complex, high-volume datasets. You’ll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels.
This role offers the opportunity to apply your technical skills to highly operational challenges in a fast-paced, secure setting. You’ll work closely with engineers, analysts, and mission specialists to ensure data-driven outcomes that make a tangible difference.
Key Responsibilities
Perform data wrangling, cleaning, transformation, and preparation of large, complex datasets
Develop and deploy machine learning models to solve real-world operational problems
Write clean, maintainable Python code for data analysis, automation, and modelling
Collaborate with engineers and analysts to integrate models into production systems
Present findings and insights to technical and non-technical stakeholders
Contribute to the ongoing improvement of analytical tooling and processes
Skills & Experience
Current enhanced DV clearance (mandatory)
Proven experience in a data science or machine learning role
Strong programming skills in Python and familiarity with key data libraries (eg pandas, NumPy, scikit-learn)
Experience with data wrangling, feature engineering, and model optimisation
Understanding of data pipelines, APIs, and production deployment workflows
Excellent communication skills and a collaborative approach
Why Apply?
Work on mission-critical UK Government projects with real-world impact
Join a leading consultancy known for innovation and technical excellence
Long-term engagement with competitive day rate and secure on-site environment
Insight Analyst
SF Recruitment
Birmingham
In office
Mid
£50k - £55k
RECENTLY POSTED
python
sql
Insights Analyst
We’re working with a major UK business operating one of the country’s largest commercial fleets, and they’re looking for an Operational Insight Analyst to help make sense of the data that keeps it moving.
This isn’t a back-office reporting role. It’s for someone who enjoys digging into data, spotting trends, and turning findings into real operational improvements, whether that’s reducing vehicle downtime, improving data quality, or surfacing issues before they become problems.
What you’ll be doing
Working with operations and fleet managers to track performance, compliance, and vehicle uptime across a national fleet.
Auditing data from multiple systems, identifying errors or inconsistencies, and leading improvements in data quality.
Producing regular reports and dashboards (mainly Excel, with opportunities to shape Power BI reporting longer term).
Turning data into stories, highlighting what’s driving change and explaining the “why” behind the numbers.
Supporting wider operational initiatives by bringing structure, insight, and clarity to decision-making.
What you’ll bring
Strong Excel analysis and reporting skills, Confident handling large datasets, pivot tables, lookups, and data validation. However, SQL, Python and Reporting (BI) tools are also welcomed for this role.
A naturally curious mindset - someone who enjoys investigating data to uncover what’s really going on.
Experience in fleet, logistics, or transport environments would be a big advantage (understanding downtime, utilisation, and vehicle data). Not a necessity however.
A solid grasp of data quality principles, and how to build trust in reporting.
Clear communication skills, comfortable explaining findings to non-technical teams.
Why join
Work within a national, complex operation where your insights have tangible impact on performance and service delivery.
Join a collaborative and forward-looking team, building structure and consistency in how data is used day-to-day.
Real autonomy freedom to shape reporting, improve processes, and take ownership of your work.
Machine Learning Engineer
People Source Consulting Ltd
Bristol
In office
Mid
Private salary
RECENTLY POSTED
aws
tensorflow
kubernetes
python
docker
pytorch
Experis
Location
Bristol - Hybrid
Employment Type - Full time
Department - Defence
About the Role
You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena.
What You’ll Be Doing
You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems.
Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:
Building software and infrastructure that leverages Machine Learning;
Creating reusable, scalable tools to enable better delivery of ML systems
Working with our customers to help understand their needs
Working with data scientists and engineers to develop best practices and new technologies; and
Implementing and developing the companies view on what it means to operationalise ML software.
As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:
Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.
Working with senior engineers to scope projects and design systems
Providing technical expertise to our customers
Technical Delivery
Who We’re Looking For
You can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.
To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):
Understanding of, and experience with the full machine learning life cycle
Working with Data Scientists to deploy trained machine learning models into production environments
Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
Experience with software engineering best practices and developing applications in Python.
Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)
Demonstrable experience with containers and specifically Docker and Kubernetes
An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
Demonstrable experience of managing/mentoring more junior members of the team
Outstanding verbal and written communication.
Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:
Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.
Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.
Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.
What we can offer you:
The companies 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.
The company 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 the company, and you’ll learn something new from everyone you meet.
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Machine Learning Engineer
Experis
Wotton-under-Edge
In office
Mid
Private salary
RECENTLY POSTED
aws
tensorflow
kubernetes
python
docker
pytorch
Experis
Location
Bristol - Hybrid
Employment Type - Full time
Department - Defence
About the Role
You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena.
What You’ll Be Doing
You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems.
Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:
Building software and infrastructure that leverages Machine Learning;
Creating reusable, scalable tools to enable better delivery of ML systems
Working with our customers to help understand their needs
Working with data scientists and engineers to develop best practices and new technologies; and
Implementing and developing the companies view on what it means to operationalise ML software.
As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:
Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.
Working with senior engineers to scope projects and design systems
Providing technical expertise to our customers
Technical Delivery
Who We’re Looking For
You can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.
To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):
Understanding of, and experience with the full machine learning lifecycle
Working with Data Scientists to deploy trained machine learning models into production environments
Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
Experience with software engineering best practices and developing applications in Python.
Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)
Demonstrable experience with containers and specifically Docker and Kubernetes
An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
Demonstrable experience of managing/mentoring more junior members of the team
Outstanding verbal and written communication.
Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:
Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.
Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.
Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.
What we can offer you:
The companies 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.
The company 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 the company, and you’ll learn something new from everyone you meet.
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Data Analyst
Akkodis
Bolton
In office
Mid
Private salary
RECENTLY POSTED
TECH-AGNOSTIC ROLE
Data Analyst required for long term contract role on sit in Bolton.
We are seeking a talented and experienced Senior Data Analyst with a background in Electronics Engineering to join our dynamic team. This pivotal role will be crucial in leveraging data to optimize our low-volume production processes for complex defence electronics, ensuring the highest standards of quality and efficiency.
Key Responsibilities
Analysing complex datasets from various stages of the electronics production lifecycle.
Identifying trends, anomalies, and areas for improvement in manufacturing processes, test results, and supply chain data.
Developing and implementing data-driven solutions to enhance production efficiency, reduce waste, and improve product reliability.
Collaborating with electronics engineers, production teams, and quality assurance specialists to translate data insights into actionable improvements.
Designing and creating compelling dashboards and reports to communicate complex data findings to technical and non-technical stakeholders effectively.
Proactively seeking opportunities to enhance data collection methods, tools, and overall data management practices within our low-volume production environment.
Contributing to the development and implementation of robust performance measurement frameworks across various production areas.
Potentially guiding and mentoring junior members of the data analysis team.
Key Skills
Experience in data analysis
Electronic Engineering background
Experience working in Manufacturing environment
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.
Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.
By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Lead Data Scientist
morrisons
Bradford
In office
Leader
Private salary
RECENTLY POSTED
aws
r
python
sql
looker
More About The Role
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it’s enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value.
As a Lead Data Scientist, you ll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You ll work closely with stakeholders across the organisation to understand their challenges and apply cutting-edge analytics to solve them. This is a hands-on role with technical delivery at its core, combined with leadership and strategic direction.
What you ll be doing:
Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth
Own the delivery of complex data science products and models that support strategic business objectives
Shape and contribute to a 1-2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes
Embed a lean, value-first culture, minimising waste and driving improvements in efficiency and EBITDA
Champion data literacy and promote best practice in analytical thinking across the business
Translate business problems into analytical approaches, delivering insights that inform action
Support the team with hands-on technical tasks where required, including coding and modelling
Collaborate with Data Engineering and other teams to ensure the right data is available and accessible
**About You
What we re looking for:**
A strategic thinker with experience solving complex business problems through data
Strong communication and storytelling skills. Able to bring data to life for non-technical audiences
An inclusive and motivating leader, with experience mentoring others and creating high-performing teams
Comfortable working in both Agile and Waterfall environments
Inquisitive mindset - always looking to challenge the status quo and improve ways of working
Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery
Key Skills:
Expert level SQL skills, extracting and transforming data with speed and accuracy
Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models
Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles
Skilled in creating impactful data visualisations and dashboards
Working knowledge of cloud platforms such as GCP or AWS, with Google preferred
**About The Company
In return for all your hard work, you will receive:**
15% discount in store from the day you join us
Additional 10% discount card for a friend or family member
Annual bonus scheme
Career progression and development opportunities
Generous holiday entitlement
Market leading pension scheme and life assurance
Healthcare benefits including Aviva Digital GP
MyPerks giving you discount with over 850 retailers
Free parking onsite
Enhanced Family, Maternity and Paternity Leave
Private Healthcare
Car Allowance (company car provided in some instances)
Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you ll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking!
At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues.
There s more to our business as it s fast paced and ever changing, as such we ve got lots of fresh opportunities for you to play your part in our success. We d love to meet you!
At Morrisons, we re proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that s good for our customers too.
We re always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
Data Science Lead
Michael Page Technology
London
Hybrid
Leader
£65k - £77k
RECENTLY POSTED
processing-js
The Head of Data Science will lead the Data Science department, driving data-driven decision-making and delivering impactful insights within the public sector. This role in Birmingham requires expertise in data science methodologies and a strong ability to manage and develop analytics teams. Hybrid working is also available in Cardiff or London
Client Details
The organisation is a well-established public sector entity with a significant focus on leveraging data to improve services and inform strategic decisions. As an organisation, they are committed to fostering innovation and maintaining high operational standards
Description
Support the Director of Risk, Data Analysis and Insight to develop the analysis programme in line with the overall Strategic Plan
Lead and manage the Data Science department, ensuring the delivery of high-quality data insights.
Develop and implement data science strategies to support organisational objectives.
Collaborate with cross-functional teams to identify and solve complex data challenges.
Oversee the design, development, and deployment of predictive models and algorithms.
Ensure compliance with data governance and ethical guidelines in all analytics activities.
Provide mentorship and professional development opportunities for team members.
Communicate findings and actionable insights to senior leadership and key stakeholders.
Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data
Develop appropriate analytical methods in firm-based risk assessment and thematic risks
Provide internal consultancy across Directorates and Programmes on analytical methods and techniques
Stay informed about industry trends and emerging technologies in the public sector.
Profile
A successful Head of Data Science should have:
Proven experience in data science and analytics, ideally within the public sector or regulatory body.
A strong background in statistical modelling, machine learning, and data visualisation tools
Expert use of standard statistical tools eg R/Python and relevant associated libraries
Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs
Excellent leadership and team management skills.
A solid understanding of data governance and ethical considerations.
Outstanding communication skills to present complex data in an accessible manner.
A degree or equivalent qualification in data science, mathematics, or a related field.
Demonstrated ability to collaborate across departments and with senior stakeholders.
Job Offer
Competitive salary range of £65,000 to £77,000 (London) per annum.
25 days of annual leave, increasing to 27 after 2 years of service.
Generous pension contributions (up to 19.25%).
Income protection, life assurance and Private Medical benefits.
3% of annual salary available for additional benefits, including dental insurance and travel insurance.
Opportunities to work on meaningful projects within the public sector in Birmingham.
Take the next step in your career as a Head of Data Science and apply today to make a real impact in the public sector!
AI/ML Developer
Experis
London
Hybrid
Mid
£500/day - £600/day
RECENTLY POSTED
processing-js
aws
apache-spark
pyspark
AI/Data Developer - Contract - SC Cleared
- 500 - 600pd (Outside of IR35)
- Hybrid working
Our client, a leading deep-tech organisation, is seeking an experienced AI/Data Developer for an urgent contract assignment.
Key Requirements:
Proven background in AI and data development
Strong proficiency in Python, including data-focused libraries such as Pandas, NumPy, and PySpark
Hands-on experience with Apache Spark (PySpark preferred)
Solid understanding of data management and processing pipelines
Experience in algorithm development and graph data structures is advantageous
Active SC Clearance is mandatory
Role Overview:
You will play a key role in developing and delivering advanced AI solutions for a Government client. Responsibilities include:
Designing, building, and maintaining data processing pipelines using Apache Spark
Implementing ETL/ELT workflows for large-scale data sets
Developing and optimising Python-based data ingestion tools
Collaborating on the design and deployment of machine learning models
Ensuring data quality, integrity, and performance across distributed systems
Contributing to data architecture and storage strategy design
Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions
Monitoring, troubleshooting, and tuning Spark jobs for performance and cost efficiency
Engaging regularly with customers and internal stakeholders
This is an excellent opportunity to join a high-profile organisation on a long-term contract, delivering cutting-edge work in the AI and data space.
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Data Architect
CBSbutler Holdings Limited trading as CBSbutler
Wellington
Hybrid
Mid
£550/day - £572/day
RECENTLY POSTED
TECH-AGNOSTIC ROLE
550 to 572 per day
6 month initial contract
Inside IR35
Hybrid working at Telford
Project Overview:
The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations.
Data architect responsibilities:
A data architect designs and builds data models to fulfil the strategic data needs of the organisation, as defined by chief data architects.
At this role level, you will:
design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy
provide input into data dictionaries
define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture
Communicating between the technical and non-technical Level: working
Working is the second of 4 ascending skill levels
You can:
communicate effectively with technical and non-technical stakeholders
support and host discussions within a multidisciplinary team, with potentially difficult dynamics
be an advocate for the team externally, and can manage differing perspectives
Communicating data Level: awareness
Awareness is the first of 4 ascending skill levels
You can:
show an awareness that data needs to be aligned to the needs of the end user
create basic visuals and presentations
Data analysis and synthesis
Level: working
You can:
undertake data profiling and source system analysis
present clear insights to colleagues to support the end use of the data
Data governance (data architect)
Level: working
You can:
understand what data governance is required
take responsibility for the assurance of data solutions and make recommendations to ensure compliance
Data innovation
Level: awareness
Awareness is the first of 4 ascending skill levels
You can:
show an awareness of opportunities for innovation with new tools and uses of data
Data modelling
Level: working
You can:
explain the concepts and principles of data modelling
produce, maintain and update relevant data models for an organisation’s specific needs
reverse-engineer data models from a live system
Data standards (data architect)
Level: working
You can:
develop data standards for a specific component
analyse where data standards have been applied or breached, and undertake an impact analysis of that breach
Metadata management
Level: working
You can:
work with metadata repositories to complete complex tasks such as data and systems integration impact analysis
maintain a repository to ensure information remains accurate and up to date
Problem management
Level: working
You can:
initiate and monitor actions to investigate patterns and trends to resolve problems
effectively consult specialists where required
determine the appropriate remedy and assist with its implementation
determine preventative measures
Strategic thinking
Level: awareness
You can:
explain the strategic context of your work and why it is important
support strategic planning in an administrative capacity
Turning business problems into data design
Level: working
You can:
design data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles
work within the context of well understood architecture, and identify appropriate patterns
Assistant/Associate Professor in Computer Science - Durham
Durham University
Durham
In office
Mid
Private salary
RECENTLY POSTED
TECH-AGNOSTIC ROLE
The Department of Computer Science at Durham University seek to appoint a talented individual to the role of Asisstant or Associate Professor. This is a permanent position. We are seeking a talented researcher with expertise in decision-making processes related to climate, environmental, economic, and policy pathways. We are particularly interested in candidates whose work is supported by Digital Twin technologies (modelling, simulations, and infrastructure), applied AI, and uncertainty quantification
This post offers an exciting opportunity to make an important contribution to the development of research in Computer Science ( ). It supports the newly founded JusTN0W initiative ( which takes place within the Centre for Sustainable Development Law and Policy ( ). JusTN0W aims to develop a world-leading interdisciplinary work programme, to research sustainable and just solutions for accelerated decarbonisation of economies. The university has committed to invest £5M over four years in this groundbreaking project.
The successful candidate will play a leading role in the development of this new initiative, dedicating the first four years primarily to this work. They will benefit from a reduced teaching load and a startup travel budget to support high-quality research, grant applications, and initiatives to engage other staff in JusTN0W-related opportunities. After four years, the appointment will be reviewed based on grant income and may transition to a primarily research role or an Education and Research Track position with a standard teaching load.
This post offers an exciting opportunity to make a major contribution to the development of internationally
excellent research and teaching while allowing you unrivalled opportunities to progress and embed your career
in an exciting and progressive institution. For more information, please visit our Department pages
at
The Department of Computer Science is one of the UK’s leading Computer Science departments, with an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific Computing and Vision, Imaging and Visualisation. There is a lively research culture with many visitors and events, and collaborations locally, nationally and internationally. In the recent UK research assessment exercise REF2021 we improved by six places in the ranking. The Department has recently grown rapidly, and now has more than 50 permanent members of academic staff. The Department has a proud tradition of excellence in its undergraduate and postgraduate programmes. The Department holds an Athena SWAN Silver award.
Data Scientist
EMBS Engineering
Nottingham
Hybrid
Mid
£55k - £65k
RECENTLY POSTED
r
python
sql
Data Scientist (Fintech, Nottingham)
Location: Nottingham (4 days per week in office)
Salary: £55,000 - £65,000 (DOE)
Client: High-growth Fintech
The Role
You ll be joining a lean, high-performing data science team of three, in a Fintech that s making serious moves in financial services.
This role is about end-to-end ownership. From spotting opportunities to deploying models that stick, you ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference.
It s leadership, but not in the endless-meeting, big-team sense. It s about leading your own projects, driving outcomes, and being accountable for real commercial impact.
Why This Role Matters
Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results.
Now it s your turn. You ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company.
What We re Looking For
Proven impact - you ve taken models into production and seen them deliver real results.
Autonomous leadership - confident owning projects, engaging stakeholders, and holding yourself accountable.
Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax.
Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss.
Energy & curiosity - proactive, problem-seeking, and solutions-focused.
The Tech (Flexible)
Current stack: R, Databricks, SQL
Open to Python and other modern tools - what matters is results.
What You ll Get
£55k £65k salary (with some flex for the right person)
High visibility and autonomy - your work won t be buried in layers of hierarchy
A direct line to senior leadership and real influence over business decisions
The chance to work with sharp, passionate people solving real-world problems with data
This role is four days a week in the Nottingham office. No hiding behind Zoom - you ll be embedded in the business, collaborating face-to-face, and influencing directly. If that s a fit for you, this could be a career-defining move!
If you re a Data Scientist who wants to own projects, deliver real outcomes, and be recognised for your impact, we d love to hear from you.
GCP/Analytics Consultant - Insurance
JM Group
London
Hybrid
Mid
£68k - £80k
RECENTLY POSTED
confluence
python
jira
airflow
sql
ssis
+1
Global Insurance Firm is hiring for a Google Cloud Platform/Analytics Consultant to join their team in the City. This is a permanent role, and the salary ranges between £68K - £80K + Bonus + Benefits. Hybrid working policy with 3 days in the office per week.
Responsibilities include:
Design and deploy analytical models and dashboards to uncover insights, predict trends, and inform decision-making.
Provide data support to business transformation initiatives, ensuring alignment with strategic objectives and digital innovation goals.
Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration.
Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS).
Define and implement best practices in data modelling, including data warehouse and lakehouse integration (Medallion Architecture).
Skills and Experience:
Strong understanding of structured data management and enterprise data best practices.
Proven experience implementing Business Intelligence (BI) solutions and operational dashboards.
Advanced proficiency with Microsoft BI Stack: SSIS, SSRS
Strong SQL Server skills and SQL querying experience
Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI
Tableau dashboard development and reporting
Python programming for data analysis
Data modelling (warehouse, lakehouse, medallion architecture)
Understanding of financial and insurance data models
Insurance experience, ideally with knowledge of key industry metrics
Please apply for immediate interview!
CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim/contract/temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds.
BCG X AI Engineer, United Kingdom
Boston Consulting Group
London
Hybrid
Mid
Private salary
RECENTLY POSTED
python
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
We Are BCG X
We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
What You’ll Do
Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
As an AI Software Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.
We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following:
Apply software development practices and standards to develop robust and maintainable software
Actively involved in every part of the software development life cycle
Experienced at guiding non-technical teams and consultants in and best practices for robust software development
Optimize and enhance computational efficiency of algorithms and software design
Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
Enjoy collaborating in teams to share software design and solution ideas
A natural problem-solver and intellectually curious across a breadth of industries and topics
Master’s degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master)
What You’ll Bring
TECHNOLOGIES:
Programming Languages: Python
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. Click here for more information on E-Verify.
Machine Learning Engineer
Sanderson Government & Defence
Tewkesbury
In office
Mid
£50k - £75k
RECENTLY POSTED
processing-js
r
python
As a Machine Learning Engineer, you will play a key role in designing, developing, and implementing machine learning models and algorithms tailored to address specific national security requirements. This position requires expertise in machine learning, data analysis, and a commitment to pushing the boundaries of technology to advance the mission.
An exciting opportunity to work on unique projects using the latest technologies. Working within the national security sector, you will be using the most modern and developing technologies to defend the UK from a range of threats.
The ideal candidate will have the following experience:
Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Proficiency in programming languages such as Python, R, or similar, along with experience with machine learning frameworks.
Strong understanding of statistical analysis, data processing, and feature engineering.
Experience of working in a Consultancy and being client-facing is beneficial
Security Clearance is required for this vacancy. Candidates will need to have DV Clearance.
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason**,** please let us know when you apply or talk to the recruiters directly so we can support you.
Practice Lead (Data, Analytics and AI)
Expleo UK LTD
London
In office
Leader
Private salary
RECENTLY POSTED
TECH-AGNOSTIC ROLE
Overview
The Practice Lead for Data, Analytics and AI will focus on leading the function within Expleo UK. This role involves managing the function, including its people, delivery, and sales opportunities.
This role requires a strategic and hands-on approach to drive data-driven decision-making, deliver actionable insights, and enhance business performance by incorporating Artificial Intelligence and Machine Learning for Expleo’s clients. The successful candidate will lead a team of data scientists, analysts, and AI data engineers, collaborating closely with cross-functional teams to develop innovative data solutions and drive growth opportunities. The role is split between leading a team and delivering value to our customers.
Responsibilities
Leadership and Strategy:
Help the Service head to define the data and analytics vision, strategy, and roadmap aligned with the firm’s goals.
Align the data and analytics strategy with the firm’s overall goals and objectives.
Provide leadership and guidance to the team, fostering a culture of innovation, collaboration, and continuous improvement.
Identify emerging trends and technologies in data, analytics, and AI to drive competitive advantage.
Client Engagement:
Engage with clients to understand their data, analytics, and AI needs, challenges, and objectives.
Translate client requirements into actionable data and AI strategies, solutions, and deliverables.
Lead solution workshops with client stakeholders
Act as a trusted adviser to clients, demonstrating expertise in data-driven decision-making and analytics.
Team Management:
Build and manage a high-performing team of data scientists, analysts, and data engineers utilizing AI and ML.
Provide mentorship, guidance, and professional development opportunities to team members.
Foster a culture of collaboration, knowledge sharing, and innovation within the team.
Data and AI Analysis and Insights:
Oversee the design, development, and execution of data models, algorithms, and analytical frameworks.
Understand the basics of AI LLMs (Large Language Models) and how they work.
Drive data exploration, visualization, and interpretation to extract meaningful insights.
Present findings and recommendations to clients and internal stakeholders in a clear and compelling manner.
Data Governance and Compliance:
Develop and implement data governance policies, procedures, and best practices to ensure data quality, integrity, and security.
Ensure compliance with data privacy regulations and industry standards.
Stay updated on evolving data regulations and proactively adapt the firm’s practices accordingly.
Experience
Proven experience in a leadership role within data and analytics, preferably in a consulting or professional services environment.
Strong understanding of data management, analytics, and visualization techniques and tools with a strong delivery record.
Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.
Strong leadership and people management skills, with a track record of building and leading high-performing teams.
Familiarity with data privacy and compliance regulations (e.g., GDPR, CCPA) is desirable.
Benefits
Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges
We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
Competitive company benefits
Always working as one team, our people are not afraid to think big and challenge the status quo
As a Disability Confident Committed Employer we have committed to:
Ensure our recruitment process is inclusive and accessible
Communicating and promoting vacancies
Offering an interview to disabled people who meet the minimum criteria for the job
Anticipating and providing reasonable adjustments as required
Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people
“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”.
We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive
Data Architect
Ascendion
London
Hybrid
Mid
Private salary
RECENTLY POSTED
aws
Job Title: Data Strategy Consultant / Data Architect
Location: London, UK (Hybrid)
About the Role:
We are seeking an experienced Data Strategy Consultant / Data Architect to lead and deliver data strategy initiatives focused on discovery, governance, and integration within complex Merger and Demerger (M&A) environments. The ideal candidate will combine strong technical expertise in data architecture with strategic consulting skills to design and implement data strategies that enable business continuity, compliance, and value realization during organizational transitions.
Key Responsibilities:
Lead the data strategy and architecture workstream for merger/demerger projects, aligning data initiatives with overall business transformation goals.
Conduct data discovery and assessment activities to identify data sources, quality issues, dependencies, and integration needs.
Develop and implement data governance frameworks, ensuring compliance, consistency, and control across systems and entities.
Define target data architectures and transition roadmaps to support the separation or integration of systems.
Partner with business stakeholders, IT, and program leads to translate business requirements into actionable data strategies.
Provide thought leadership on data management, governance, and analytics best practices.
Support design and delivery of data migration and data quality improvement initiatives.
Create and maintain data models, dictionaries, lineage documentation, and related artefacts.
Advise on data platform choices (on-premises or cloud) to optimize performance, scalability, and compliance.
Key Skills & Experience:
Proven experience (8+ years) as a Data Architect, Data Strategy Consultant, or similar role.
Strong understanding of data governance, data management, metadata management, and data quality principles.
Demonstrated experience delivering data strategies for M&A or corporate restructuring (merger/demerger) projects.
Expertise in data discovery, data lineage, and data mapping activities.
Familiarity with data frameworks and standards such as DAMA-DMBOK, DCAM, or EDM Council best practices.
Hands-on experience with data platforms (e.g., Azure, AWS, GCP), data cataloging tools (e.g., Collibra, Alation, Informatica), and ETL/Integration solutions.
Excellent stakeholder management and communication skills, with the ability to influence both business and technical teams.
Strong analytical, documentation, and presentation abilities.
People Data Analyst
Goldsmith University of London
London
In office
Mid
£39k - £42k
RECENTLY POSTED
sql
About Goldsmiths
Goldsmiths, University of London is a world-leading centre of educational excellence where ground-breaking research meets innovative teaching and thinking. At Goldsmiths, you ll find a fusion of culture, creativity, heritage, excitement and academic rigour which all help to create a close-knit community with a reputation that spans the globe. It provides a fluid and energetic community where staff and students work in partnership to bring learning to life. Indeed, one of its major strengths is its interdisciplinary ethos - the way in which departments, centres and units interrelate to offer new perspectives and insights.
The Opportunity
As a People Data Analyst at Goldsmiths, University of London, you will play a key role in supporting the People & Organisational Development (POD) department through the provision of high-quality data insights and reporting. You ll be responsible for maintaining and analysing workforce data, developing dashboards, and contributing to the improvement of HR systems and processes. This is a fantastic opportunity to work collaboratively across HR, Payroll, IT, and other university departments to ensure data integrity and support strategic decision-making.
Key Responsibilities
Gather, validate, and maintain accurate HR data from multiple sources including EDI, Workforce, HESA, and Recruitment.
Clean and standardise data in collaboration with HR Operations to ensure consistency and reliability.
Generate regular reports on HR metrics such as turnover, diversity, and recruitment effectiveness.
Conduct ad hoc analysis and create custom reports for senior stakeholders.
Develop dashboards and visualisations using tools like Power BI.
Support system upgrades and enhancements, including testing and documentation.
Contribute to process improvement initiatives and automation of HR workflows.
Ensure compliance with GDPR and data protection regulations.
Train POD staff and managers on system usage and data interpretation.
Actively engage in professional development and stay informed on data analytics trends.
Promote equality, diversity, and inclusion in all aspects of work.
About You and What You Will Bring to the Role
Educated to A-level standard with GCSE A -C in Mathematics (degree in a quantitative field desirable).
Experience maintaining and analysing large datasets and combining data from multiple sources.
Skilled in Microsoft Excel and other data analysis platforms (Power BI, SQL desirable).
Strong numeracy and analytical skills with the ability to interpret complex data.
Good written communication and organisational skills.
Understanding of GDPR and data protection legislation.
Experience working with HR data (preferably in a higher education context).
Commitment to equality, diversity, and inclusion, with experience supporting diverse communities.
Your work in this role will directly support Goldsmiths strategic goals and help shape how people data is used to enhance the experience of staff and students across the university.
Goldsmiths is working in partnership with Hays HR to identify the right person for this role.
Closing date for applications: Wednesday 22 October at 23:59
Senior Quantitative Analyst
Spectrum IT Recruitment
London
In office
Senior
£100k - £120k
RECENTLY POSTED
c++
python
csharp
java
Excellent opportunity for a passionate Quantitative Analyst to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential.
This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.
Previous experience within the sports trading industry would be beneficial.
Skills required:
PhD in STEM related subject
Proficient in several of the following: Python, C#, C++, Java
Mathematical Modelling
Mathematical skills, particularly a keen understanding of probabilities and statistics
Analytic mindset
Strong communication skills
Accuracy and attention to detail
Experience in data science (big data, deep learning, machine learning) is beneficial
If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed)
Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Senior Azure AI Engineer (SC Cleared)
Devonshire Hayes Recruitment Specialists Ltd
London
In office
Senior
£675/day - £700/day
RECENTLY POSTED
microsoft-azure
Devonshire Hayes have partnered with a fantastic organisation to help them secure a Senior Azure AI Engineer - Security Cleared for an initial contract up until the end March 2026 (extensions likely).
Job Spec:
Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD)
Understanding of data science concepts, AI / ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD)
Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD)
Experience applying Generative AI, NLP, and prompting techniques.
Strong understanding of AI governance, observability, and compliance frameworks.
Excellent communication and presentation skills.
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