Your current job search

Data Scientist - £80,000 - Hybrid - London



Company Overview:

My client is a trusted partner for major clients across a range of data and AI driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. Due to their commitment and motivation to stay at the top of their industry, there is constant investment in research and development to stay ahead of trends by working with, and developing their own, cutting-edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development.

Role Overview:

As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end-to-end models and use a combination of NLP and OCR-based extraction techniques.

In addition to the technical expertise you will bring and develop, this is a consultant role and you will be working with key stakeholders in large financial institutions, good communication is essential.

Requirements:

* Python Expertise
* Supervised and Unsupervised Learning
* NLP and OCR Experience
* Exposure to Modern Cloud Platforms (EG. Databricks, AWS)
* Abillity to Communicate Technical Concepts

Nice to Have:

* Financial Services Experience





Interviews ongoing don't miss your chance to secure the future of your career!



Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.











Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking

We're working up with a growing technology consultancy who specialise in Cyber Security, Data & AI within the public sector space.

They've had a fantastic 18 months with lots of positive expansion and with this in mind they're looking for Lead Data Scientist to join their Public Sector team delivering to their enterprise clients.

They'd like you to be the Data Science SME where you'll be responsible for leading e2e customer engagements in both a hands off and hands on capacity.

The role itself has 2 main parts to it which are important:

1. A commercial and consulting mindset - being able to explain how, what and why data is working in the way it's working to customers and them understanding your approach

2. A Data Science Engineering skillset - Experience in areas such as Python, Azure, AWS, CI/CD, IaC, Deployments, Containerisation etc

In order to be considered for this role, it'd be nice to have some of the following skills:

* Experience working in a consulting, engineering or data industry
* A range of skills covering Data Engineering, Data Security & Data Science
* Experience working with cloud based infrastructure across Azure, AWS & GCP
* Demonstrable examples of leading projects and mentoring people
* Strong database experience (GraphQL, SQL, NoSQL & Elasticsearch for example)

SC Eligibility or SC Clearance is ESSENTIAL for this role!

If this role is of interest to you or if you know of anyone who'd be suitable for this role please email me on c.garside1@tenthrevolution.com or 0191 300 100.

We are partnered with an innovative HealthTech company in Dallas that is transforming healthcare through advanced data-driven solutions. They are now seeking a talented Data Scientist to join their growing team and help tackle some of the most impactful challenges in healthcare today.

Role Overview:

As a Data Scientist, you will work closely with product, engineering, and clinical teams to develop models and insights that drive better patient outcomes, optimize operations, and enable new product offerings. This is a hands-on role where you will have the opportunity to work with diverse healthcare data sets and apply the latest machine learning and statistical techniques.

Key Responsibilities:



*

Design, build, and deploy predictive models to improve patient care and operational efficiency
*

Analyze large-scale healthcare data sets (EMR, claims, device data, etc.)
*

Collaborate with cross-functional teams to turn insights into actionable product features
*

Communicate findings to both technical and non-technical stakeholders
*

Stay current with new developments in machine learning, AI, and healthcare analytics



Ideal Candidate:



*

5+ years experience in data science or machine learning, preferably in healthcare or life sciences
*

Strong programming skills in Python (Pandas, Scikit-learn, etc.)
*

Solid understanding of statistical methods, machine learning techniques, and data wrangling
*

Experience working with healthcare data sets (FHIR, HL7, claims, EMR) is a plus
*

Strong communication skills and ability to thrive in a collaborative environment



Why Join?



*

Make an impact on real-world healthcare outcomes
*

Work with a collaborative, mission-driven team
*

Hybrid work flexibility (Dallas HQ)
*

Competitive salary and benefits

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

Wir suchen für den Fachbereich Data & Analytics von einem Enterprise-Kunden in ganz Deutschland:

Cloud Data Engineer (w/m/d)

Anforderungen:

- Erfahrung mit Cloud Analystics (Azure, AWS, GCP) oder Big Data (Haddop, Kafka)
- Know-How in der Softwareentwicklung mit Java, Scala oder Python
- Von Vorteil: Erfahrung mit Buildtools und CI/CD Pipelines
- Von Vorteil: gute Kenntnisse von verschiedenen Cloud-Strategien und lac Technologien
- Verhandlungssicheres Deutsch- und gute Englischkenntnisse

Worum es geht:

Das Unternehmen ist einer der führenden IT-Dienstleister im deutschsprachigen Raum. Mit rund 6.800 Mitarbeitenden unterstützt das Unternehmen Kunden aus verschiedenen Branchen bei der Digitalen Transformation.

Das Competence Center Data Engineering ist verantwortlich für die Umsetzung komplexer Big Data und Cloud Analytics Projekte für namhafte große Kunden. Als Data Engineer bist du Teil eines innovativen und stetig wachsenden Software Engineering Teams. Du profitierst von erfahrenen Kolleginnen und Kollegen und absolvierst ein spezielles Ausbildungsprogramm, um dein Wissen auszubauen und zu vertiefen.

Deine Aufgaben als Cloud Data Engineer:

* Implementieren von Data Pipelines, Data Ingest und Data Processing
* Engineering von Container basierten Analytics Plattformen und effizienten CI/CD Pipelines
* Projektbasierte Umsetzung von Business Anforderungen mit Analytics Services von AWS, Azure und GCP oder etablierten On Premises Big Data Technologien
* StetigeWeiterbildung in Technologienausdem Cloud- und Software Engineering-Umfeld

Dafür wird dir geboten:

* 30 Tage Urlaubstage im Jahr
* Zeitliche und örtliche Flexibilität (bundesweit remote möglich + 2 - 4 Monate pro Jahr Remote-Arbeit aus dem (EU-)Ausland möglich je nach Aufgabenbereiche
* Offene Unternehmenskultur, dynamisches Arbeitsumfeld und moderner Führungsstil
* Spannende abwechslungsreiche Projekte im Cloud-Umfeld mit unterschiedlichen Industrien
* Projektzuweisung, die deiner Kapazität und deinem Interesse entspricht
* Etabiliertes Umfeld, in dem du dich technisch und professionell weiterentwickeln kannst
* Unterstützung deiner persönlichen und fachlichen Weiterentwicklung mit einem breiten Angebot von Weiterbildungen und Zertifizierungen
* Patenschaft von fachlichen Kolleg*innen und solides On-Boarding Programm
* Freiraum für eigene Kreativität und Entwicklung

Hiring Process:

1st Gespräch mit dem Fachbereich - 2nd Gespräch mit dem Fachbereich - Angebot/Absage

Für denselben Geschäftsbereich suchen wir ebenfalls nach DataOps Engineers, Data Architects und Consultants in ganz Deutschland. Bewerbe dich gerne bei uns, auch wenn du nicht alle Anforderungen erfüllen kannst.

Impressum - https://www.frankgroup.com/de/impressum/

Wir suchen für den Fachbereich Data & Analytics von einem Kunden in ganz Deutschland:

Cloud Data Engineer (w/m/d)

Anforderungen:

- Erfahrung mit Cloud Analystics (Azure, AWS, GCP) oder Big Data (Haddop, Kafka)
- Know-How in der Softwareentwicklung mit Java, Scala oder Python
- Von Vorteil: Erfahrung mit Buildtools und CI/CD Pipelines
- Von Vorteil: gute Kenntnisse von verschiedenen Cloud-Strategien und lac Technologien
- Verhandlungssicheres Deutsch- und gute Englischkenntnisse

Worum es geht:

Das Unternehmen ist einer der führenden IT-Dienstleister im deutschsprachigen Raum. Mit rund 6.800 Mitarbeitenden unterstützt das Unternehmen Kunden aus verschiedenen Branchen bei der Digitalen Transformation.

Das Competence Center Data Engineering ist verantwortlich für die Umsetzung komplexer Big Data und Cloud Analytics Projekte für namhafte große Kunden. Als Data Engineer bist du Teil eines innovativen und stetig wachsenden Software Engineering Teams. Du profitierst von erfahrenen Kolleginnen und Kollegen und absolvierst ein spezielles Ausbildungsprogramm, um dein Wissen auszubauen und zu vertiefen.

Deine Aufgaben als Cloud Data Engineer:

* Implementieren von Data Pipelines, Data Ingest und Data Processing
* Engineering von Container basierten Analytics Plattformen und effizienten CI/CD Pipelines
* Projektbasierte Umsetzung von Business Anforderungen mit Analytics Services von AWS, Azure und GCP oder etablierten On Premises Big Data Technologien
* StetigeWeiterbildung in Technologienausdem Cloud- und Software Engineering-Umfeld

Dafür wird dir geboten:

* 30 Tage Urlaubstage im Jahr
* Zeitliche und örtliche Flexibilität (bundesweit remote möglich + 2 - 4 Monate pro Jahr Remote-Arbeit aus dem (EU-)Ausland möglich je nach Aufgabenbereiche
* Offene Unternehmenskultur, dynamisches Arbeitsumfeld und moderner Führungsstil
* Spannende abwechslungsreiche Projekte im Cloud-Umfeld mit unterschiedlichen Industrien
* Projektzuweisung, die deiner Kapazität und deinem Interesse entspricht
* Etabiliertes Umfeld, in dem du dich technisch und professionell weiterentwickeln kannst
* Unterstützung deiner persönlichen und fachlichen Weiterentwicklung mit einem breiten Angebot von Weiterbildungen und Zertifizierungen
* Patenschaft von fachlichen Kolleg*innen und solides On-Boarding Programm
* Freiraum für eigene Kreativität und Entwicklung

Hiring Process:

1st Gespräch mit dem Fachbereich - 2nd Gespräch mit dem Fachbereich - Angebot/Absage

Für denselben Geschäftsbereich suchen wir ebenfalls nach DataOps Engineers, Data Architects und Consultants in ganz Deutschland. Bewerbe dich gerne bei uns, auch wenn du nicht alle Anforderungen erfüllen kannst.

Impressum - https://www.frankgroup.com/de/impressum/

About the Job:

Role, you will design, develop, deploy, and document secure and functional APIs that integrate Employment Hero's HR and Payroll modules with third-party client platforms (such as timesheet and finance systems). You'll work day-to-day with our clients and partners, acting as the technical expert who architects API solutions based on client requirements and Employment Hero's documentation. You will manage the full API lifecycle, liaise with third-party vendors, contribute to solution design workshops, and ensure the integration meets performance, security, and documentation standards. Your work will make a direct impact by enabling clients to use automated HR and Payroll processes efficiently.

Responsibilities and Duties:

API Solution Design & Development

* Architect and implement secure, scalable RESTful APIs to integrate Employment Hero with external platforms.
* Implement OAuth 2.0 and token-based authentication for API access.
* Manage the API life-cycle including testing, deployment, version control, logging, and monitoring.
* Use Python (e.g. FastAPI) and Azure services (e.g. Azure Functions, Microsoft Fabric pipelines) for development and orchestration.
* Document integration specifications and processes clearly for future maintenance and support.

Collaboration & Client Integration Support

* Liaise with third-party vendors and client IT teams to align technical details.
* Work closely with consultants to align API designs with functional requirements.
* Participate in workshops, contribute technical insight, and support user acceptance testing.
* Deliver training, handover materials, and ongoing technical documentation.
* Share best practices and contribute to continuous improvement.

About you:

* Experienced in developing RESTful APIs and implementing OAuth 2.0 authentication.
* Skilled in Python (preferably FastAPI), Git, SQL, and cloud services like Microsoft Azure.
* Familiar with technologies such as: Airbyte, Rivery and Hevo
* Familiar with HR, Payroll, Recruitment, and L&D terminology and work-flows.
* Able to work independently and as part of a team in a remote environment.
* Strong communicator, proactive problem-solver, and agile project contributor.

Technology & Data Project Manager - Contract

Responsibilities and Requirements :

* Understand and document the high level scope and business value (outcomes) for every Technology and Data initiative in the backlog working the stakeholders as appropriate
*

Has worked on Agile and Waterfall methodologies.
*

Experience in Data Platform is build with ADF, Databricks, Power BI, Azure D, Waterfall, Agile, RAID, Azure Devops, Data Factory,



Details:

* Inside IR35
* 2-3 days in the London office
* 3 Months with potential extension



Please send me your CV if you meet the requirements and we can talk through the role in more detail

Data Governance Roles

Contract

Hybrid: London/York 2 days

* Senior Data Analyst / Data Governance Manager
* Data Analyst
* Junior Data Analyst

Overview

We are looking for a Data Manager who has experience of core Data Governance related work. The Data Manager has the primary responsibility in supporting the Group Head of Data Management. This includes the overall client engagement and quality assurance of the work of the team completing the work. The Data Manager will serve as the primary point of contact for the clients stakeholders, oversight of all deliverables, ensure alignment with the clients Data Strategy and clients Group Data Policy, and steer the execution of the work plan. This role also provides strategic guidance on data governance practices and ensures the integration of technical efforts with business priorities.

The scope of the work includes:

* Transition of an existing instance of Informatica Cloud Data Governance Catalogue (CDGC), to an enterprise deployment, including the configuration and implementation across the Business Units.
* Oversight of the discovery of Data Documentation, related metadata, Data Quality and Reference data.
* Supporting any other prioritised work or project support from the Group Data team.
* Potentially supplementing Business Unit data teams in the execution of Data Management activities.

The Data Manager will have excellent communication skills and can adapt to an ever-changing landscape. This will involve working with the Data Leaders in the Business Units to get a better understanding of both the Data Users community, as well as the teams and key subject matter experts utilising data for critical outcomes. The role has significant exposure to the existing Data teams and Data Leaders in the Business Units.

Responsibilities

* Support the Group Head of Data Management in planning and execution.
* Primary point of contact for the client's stakeholders.
* Oversight of all deliverables, ensure alignment with the client's Data Strategy and Group Data Policy.
* Steers the execution of the work plan.
* Facilitate stakeholder workshops, building a valuable relationship with our Data Leaders.
* Collaborate with other team members to ensure quality and timely delivery.
* Communicate effectively with all levels of stakeholders, both verbally and in writing.

Requirements and Experience

* At least 5 years of experience as a Data Manager, working with the business is essential
* Data Governance execution experience is essential
* Excellent communication, presentation, and facilitation skills
* Must be able to work independently and proactively in a fast-paced and dynamic environment

Please send me a copy of your CV to a.otoole@tenthrevolution.com

0191 338 6654

Data Modeller - £80,000 + 15% - London



Company Overview:



Our client is a leading Data consultancy who work with some of the biggest clients across the globe on their most cutting-edge projects. They are known for their top talent and this is an excellent chance to work on some amazing projects while growing professionally and personally.

You will be joining their finance department who work with a range of top organisations across the financial services sector.

Role Overview:



This role is working with a reinsurance client in the London Market. You will design and develop physical, conceptual, and logical data models based on business requirements of key technical and non-technical stakeholders. You will be heavily involved in working with architects, engineers and analysts within a data warehouse environment.

Requirements:

* Strong Data Modelling Experience
* Experience with ERwin, Oracle SQL
* ETL Experience
* Experience within London Reinsurance Market
* Pricing Tool Experience









This is an unmissable chance to hone your skills and grow your career working for a top partner, interviews are already underway so don't miss your chance. Apply Now!



Contact - j.shaw-bollands@tenthrevolution.com // 01913386641



Data Model Configuration, Data Modelling, Modeller, Pricing, Reinsurance