186 Data Modeling jobs in the United Kingdom

Lead Data Scientist - Financial Modeling

SR1 2AA Sunderland, North East £80000 Annually WhatJobs

Posted 8 days ago

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full-time
Our client, a leading financial institution, is looking for a highly skilled Lead Data Scientist to spearhead their advanced financial modeling initiatives. This fully remote role offers an exceptional opportunity to work on cutting-edge projects from the comfort of your home office, contributing significantly to our strategic decision-making processes. You will be at the forefront of developing sophisticated predictive models, risk assessment frameworks, and anomaly detection systems that drive profitability and mitigate financial risks.

As the Lead Data Scientist, you will guide a team of talented data scientists, fostering an environment of collaboration and technical excellence. Your responsibilities will encompass the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. A deep understanding of machine learning algorithms, statistical modeling, and time-series analysis is crucial. Experience with financial markets, quantitative finance, and regulatory compliance is highly advantageous. You will leverage your expertise in Python or R, along with libraries like TensorFlow, PyTorch, scikit-learn, and Pandas, to build robust and scalable solutions. Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) are also essential for handling large financial datasets.

We expect candidates to possess a Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Physics. A minimum of 6 years of relevant industry experience, with a proven track record in financial modeling and a leadership capacity, is required. Excellent communication and presentation skills are vital for conveying complex findings to both technical and non-technical stakeholders. You will be instrumental in shaping our data-driven strategy, providing actionable insights that enhance financial performance and operational efficiency. This is a unique chance to make a substantial impact in a globally recognized financial organization, working remotely.
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Senior Data Scientist - Financial Modeling

SR1 1 Sunderland, North East £70000 Annually WhatJobs

Posted 10 days ago

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full-time
Our client, a highly respected financial services institution, is seeking an experienced Senior Data Scientist to lead the development and implementation of advanced financial models. This is a fully remote position, enabling you to contribute your expertise from anywhere in the UK. You will play a crucial role in leveraging data to drive strategic decision-making, optimize risk management, and enhance predictive capabilities within the firm.

Key Responsibilities:
  • Develop, validate, and deploy sophisticated predictive models for areas such as credit risk, market risk, fraud detection, and customer behavior analysis.
  • Clean, transform, and analyze large, complex datasets from various sources using statistical and machine learning techniques.
  • Collaborate closely with business stakeholders, data engineers, and other data scientists to understand requirements and deliver actionable insights.
  • Design and implement A/B tests and other experimental methodologies to evaluate model performance and business impact.
  • Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
  • Build robust data pipelines and automated reporting systems to support ongoing model monitoring and performance tracking.
  • Communicate complex findings and model methodologies clearly and concisely to both technical and non-technical audiences.
  • Mentor junior data scientists and contribute to the growth and development of the data science team.
  • Ensure compliance with all relevant regulations and data privacy standards.
  • Contribute to the strategic roadmap for data science initiatives within the organization.
  • Document all modeling processes, assumptions, and results thoroughly.
Qualifications and Skills:
  • Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
  • Minimum of 5 years of experience as a Data Scientist, with a significant focus on financial modeling and analysis.
  • Proven expertise in developing and deploying machine learning models (e.g., regression, classification, time-series forecasting, clustering).
  • Proficiency in programming languages such as Python or R, and strong experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
  • Solid understanding of statistical concepts and methods.
  • Experience with SQL and working with relational databases; experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
  • Familiarity with financial industry regulations and data governance principles.
  • Ability to work independently and effectively manage projects in a remote setting.
  • Demonstrated ability to translate business problems into data science solutions.
This is an exceptional opportunity for a skilled Data Scientist to lead impactful financial modeling initiatives within a leading financial services firm, all while enjoying the flexibility of a fully remote role. If you are passionate about data-driven insights and quantitative analysis in finance, we encourage you to apply.
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Principal Insurance Data Scientist (Risk Modeling)

PL1 1AA Plymouth, South West £80000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client, a leading innovator in the insurance sector, is seeking a Principal Insurance Data Scientist to spearhead advanced risk modeling initiatives. This is a fully remote role, offering significant autonomy and the opportunity to influence strategic decision-making from your home office. You will be responsible for developing sophisticated predictive models to assess and quantify insurance risks, optimize pricing strategies, and enhance underwriting processes. Your work will involve leveraging large, complex datasets, including historical claims data, demographic information, and external economic factors. The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, coupled with a minimum of 7 years of experience in data science, specifically within the insurance or financial services industry. Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, time series analysis, deep learning), and programming languages like Python or R is essential. Experience with data visualization tools and big data technologies (e.g., Spark, Hadoop) is also highly valued. You will lead projects from conception to deployment, mentor junior data scientists, and collaborate closely with actuarial teams, underwriters, and business stakeholders. Strong communication and presentation skills are required to convey complex analytical findings clearly and effectively. This role demands a proactive, innovative mindset and a deep understanding of insurance principles and regulatory requirements. Your insights will directly impact the company's profitability and competitive positioning. We are looking for a thought leader who can drive the data science agenda and contribute to the company's digital transformation. The ability to translate business problems into data-driven solutions is paramount.
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Data Management Specialist

Bournemouth, South West LV=

Posted 2 days ago

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Data Management Specialist About the Role

Are you ready to shape the future of data in financial services? We’re looking for a passionate Data Management Specialist to help drive our enterprise-wide data transformation.


In this exciting role, you’ll be at the heart of delivering our Data Strategy, leading on the rollout of Purview, enhancing our Data Management capabilities, supporting the rollout of Microsoft Fabric. You’ll work within a fast-paced, collaborative environment to embed best-in-class data practices and governance across the business.


This is a hybrid role with some presence required at our Bournemouth office. This role is a Fixed Term Contract for 6 months.


Key Responsibilities

•Spearheading the development of our Data Management roadmap, introducing key capabilities like Metadata Management, Master Data Management, Data Lineage, Business Glossaries, and Data Dictionaries.
•Strengthening our Data Ownership and Stewardship communities and championing our Data Literacy programme.
•Collaborating with the IT communities, Data Office and Data Privacy function to ensure data quality, consistency, and compliance across all business lines.
•Leading the implementation of Purview and supporting the migration to Microsoft Fabric, ensuring sensitive data is protected and risks are mitigated.
•Partner with the Head of Data, Data Governance Lead and Data Quality Lead to build a high-impact Data Governance team.
•Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239).
•Act as a technical advisor and coach for our Accountable Executives, Data Owners and Stewards, delivering training and guidance.
•Drive MDM initiatives and collaborate with SCV Engineers to deliver a unified customer view.
•Conduct audits, support data migration, and ensure robust data classification and retention practices.

About You
Essential:
•Proven experience in data management/governance preferably within Financial Services.
•Hands-on implementation experience with tools like Purview, Collibra, Informatica, or Alation. 
•Solid SQL skills and familiarity with Azure, Fabric, or other cloud platforms.
•Knowledge of data privacy regulations (UK GDPR, Data Protection Act 2018) and ETL processes.

Desirable:
•Purview implementation experience.
•Certifications such as DAMA/CDMP.
•Experience in data remediation, migration, and quality improvement projects.
•Ability to work cross-functionally with IT, compliance, and business teams.

Rewards & Benefits 
This role is a Band C in the LV= Structure.

At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:
• 30 days' holiday, with the option to buy up to 2 additional days
• Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
• An annual bonus scheme based on company and personal performance 
• Single-cover private medical insurance (with the option for you to upgrade to family cover)
• Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance
• Up to 20% discount on our life products for you and your immediate family
• A group life assurance policy with 4 x your basic pay to go to your dependents (you’ll have the option to increase to 8 x cover)
• Group Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
• Access to our Employee Assistance Programme (EAP) for support when you need it
• A virtual GP service
• Shared parental leave.

We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.


Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship in order for your application to be considered.

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Data Management Analyst

Tate Recruitment

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Job Description

Community Advisor (French Speaker)

Start Date: Immediate

Duration: Long-term Project

Hours: 10 hours per week

Location: Remote


About the Role


Key Responsibilities

  • Provide strategic direction, best practices, and guidance to ensure communities align with business objectives
  • Define the community’s mission, vision, and goals
  • Advise on optimal interaction styles and community structures
  • Establish KPIs and reporting frameworks to measure success
  • Identify and nurture superusers, ambassadors, and influencers
  • Provide insights into platform trends, industry best practices, and product roadmaps
  • Act as a liaison between customer stakeholders and internal teams


Skills & Experience

  • Experience with data analysis using tools such as Google Sheets and in-product analytics tools
  • Skilled at creating data-centered reports using Google Slides
  • Ability to research technical product details (supported by AI documentation) and help resolve community issues
  • Basic understanding of community forums and online engagement best practices
  • Strong analytical and strategic thinking skills able to form actionable recommendations based on community insights
  • Excellent rapport-building and communication skills
  • Proactive , organised, and solution-oriented


This role offers flexibility, autonomy, and the chance to influence thriving online communities for a global audience. If you’re a data-savvy, community-minded professional who’s fluent in French, we’d love to hear from you!

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Data Management Intern

Westerham, South East Bombardier

Posted 6 days ago

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Job Description

Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
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Data Management Specialist

London, London £28000 annum LEAP Legal Software

Posted 8 days ago

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Job Description

Permanent

Conveyancing Manager, Remote Office

  • Permanent, full-time, Remote working.

About LEAP
LEAP is the leading provider of Legal Practice Productivity Solutions in the world and is part of ATI, one of the largest international LegalTech companies. For more than 30 years, our curiosity and commitment to continual improvement have kept us reimagining productivity tools for lawyers and their staff to support our guiding purpose, to ‘Help lawyers who help people’. The market-leading software we develop and support is used by more than 100,000 lawyers and their staff in small and medium-sized law firms.

Working alongside our international team of passionate high achievers, you’ll join a fast-growing technology business where things seldom stay the same for long. With more than 1000 smart, caring, and ambitious ‘LEAPsters’ working together across Australia, Canada, the United States, the United Kingdom, the Republic of Ireland, Poland, and New Zealand, you’ll find yourself in good company here.

Meet the team

We are looking for a Data Management Specialist to join our Demonstration Data Management Group (DDX), based in the UK and supporting UK and Canadian data environments. In this role, you’ll collaborate with Managers and Leaders across Australia, the UK, the US, and Canada, contributing to the development and maintenance of high-quality demonstration data.

You’ll be responsible for creating, managing, and maintaining accurate, complete, and reliable data used to demonstrate LEAP to clients and internal teams. Training will be provided on the DDX Tool.

Working closely with colleagues, you’ll ensure data quality, accessibility, and integrity across all LEAP demonstration datasets, while supporting data governance and analysis activities.

Success in this role requires a hands-on, proactive approach and the ability to collaborate effectively with global stakeholders.

Requirements

What you'll do

  • Proactively liaising with various stakeholders to understand location specific data requirements.
  • Understanding the client’s data requirements and the ability to translate these requirements into functional. specifications for implementation and delivery.
  • Maintaining documentation, including training, delivery, and processes.
  • Preparing and delivering standard and custom training events via web conference tools, web meeting, or standard classroom methods in a one on one or group situation (including the ability to amend and revise programs as necessary, to adapt to changes occurring in the work environment).
  • Ability to investigate and resolve issues raised by departments that relate to LEAP data.
  • Support DDX Developers with issues escalated in the DDX Projects.

What you'll bring

  • Experience with LEAP is preferred, however, not essential.
  • Experience with datafile creations.
  • Experience creating matters, documents, time, cost recoveries, invoices, and receipts.
  • Ability to self-motivate and work autonomously.
  • Experience in creating technical documentation specifications.
  • Strong verbal and written skills.
  • Strong delivery focus to complete tasks within the schedule and quality standards.
  • Strong problem-solving skills, analysis skills, and attention to detail.
  • Demonstrable stakeholder management experience, with a proven ability to build positive relationships and engage people across all levels of the organisation.
  • Excellent written and verbal presentation skills, with experience in presenting to senior management.

LEAP is an inclusive, people-first company committed to breaking down institutional barriers that keep people from reaching their potential. If you meet some, but not all, of the requirements above, we encourage you to still submit your application

Benefits

What you'll get

A friendly, supportive, and driven company culture, where innovation and collaboration are at the heart of what we do.

You will receive a competitive salary, and an excellent benefits package:

  • LEAP pays 8% of your salary into your pension.
  • Private health insurance, including optical and dental.
  • £80 a month gym contribution.
  • Life insurance cover.
  • Employee Assistance Program.
  • Generous Professional Development Fund.
  • Enhanced parental leave.
  • PerkBox membership.
  • Cycle to work scheme.
  • 25 days holiday (plus 8 bank holidays).
  • Work anniversary rewards.
  • Paid time off to give blood.
  • Volunteer day – We offer 1 day per year for a charity of your choice.
  • Free healthy breakfast, light lunch, and snacks.
  • A dog friendly office.

Life at LEAP
LEAP is all about impact, growth, and ownership. We’re united by a genuine passion for what we do, enriched by the care we show to our customers and each other, and driven by the difference we can make together.

LEAPster culture is about prioritising and celebrating the incredible humans behind our market-leading technology. Think flexible hybrid work, enhanced parenting policy, regular social events, free gym membership, and so much more.

We strongly believe that personal development and career progression are at the heart of a healthy, high-performing culture, and we’re committed to empowering LEAPsters with resources and career pathways to explore. With us, your career will grow as you do, with opportunities to step into new roles, explore new departments, and even work abroad.

More you should know
Discover the human side of cutting edge LegalTech

Life at LEAP

Discover more LEAP opportunities

Closing Date: Friday, 31st October

We reserve the right to close this vacancy early if we receive a high volume of suitable applications. We encourage interested candidates to apply as soon as possible.

It’s fine to use AI to help with your application, just keep it genuine and make sure it reflects you.

A real person will read your CV and chat with you if you’re invited to interview. We want to get to know the real you, not just ChatGPT!

This advertiser has chosen not to accept applicants from your region.
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About the latest Data modeling Jobs in United Kingdom !

Senior Data Management Professional - Data Science - Data Management Lab

London, London Bloomberg

Posted 6 days ago

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Job Description

Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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Head of Data Management

West Midlands, West Midlands WeDoData

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Head of Data required for multi-academy trust in the West Midlands


WeDoData has recently partnered with a small but ambitious multi-academy trust based in the West Midlands that is now looking for a Head of Data. The main purpose of the role is to guide and enhance the Trust's strategy, systems, and culture concerning data, analytics, and insights.


The schools that are part of that trust have been rated good or outstanding by Ofsted, with some schools achieving a double outstanding judgment and others receiving a good rating in all areas.


If you are a strategic leader with outstanding skills in data systems, infrastructures, analytics, insights and reporting, we would love to hear from you.


To be eligible, you MUST have:

  • Solid experience in a strategic data leadership role within the education sector
  • In-depth knowledge of MIS systems such as Bromcom, SIMS, or Arbor
  • Significant experience delivering staff training


In return my client can offer:


Between £54,000 and £58,000 per annum

A full-time role in a growing MAT

Flexibility in working where appropriate

Access to technical training & development

A comprehensive Employee Assistance Services package


If you'd like the opportunity to discuss this superb opportunity, please call Jean at WeDoData on or apply as soon as possible.


If this role isn't quite right for you, please feel free to forward it to anyone you think might be a better fit.


WeDoData (Bristol) Ltd is committed to safeguarding and promoting the welfare of children and young people and expects all staff, applicants, and clients to share this commitment. Any appointment will be made subject to strict vetting and screening checks and receipt of a satisfactory enhanced DBS check. In accordance with the DfE statutory guidance 'Keeping Children Safe in Education', this may also include an online search as part of our due diligence on shortlisted applicants.

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Master Data Management Lead

Harnham

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Job Title: Master Data Management Lead

Location: Birmingham (3 days per week)

Contract: 3 months

IR35 Status: TBC

Start Date: ASAP

Rate: Competitive

Overview

The successful candidate will play a key role in building out the UK master data processes, establishing strong data governance, and cleansing existing datasets to create a solid foundation for ongoing operations.

Key Responsibilities

  • Lead the setup and structuring of the UK Master Data Management function.
  • Conduct initial data cleansing to address scattered and inconsistent data.
  • Build and document business and master data processes across key areas.
  • Collaborate with stakeholders across Customer Service, Supply Chain, and Operations.
  • Within 3-6 months, establish and implement master data handling processes, initiate data cleansing, and transition activities to the permanent team.

Required Skills & Experience

  • Strong hands-on experience in business and master data processes.
  • Proven expertise in data cleansing and governance.
  • Experience with IFS or other ERP systems.
  • Excellent stakeholder engagement and relationship management skills across multiple business levels.
  • Industry background flexible - experience in pharma or healthcare advantageous but not essential.
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