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Datatech Analytics

Datatech Analytics

datatech.org.uk

4 Jobs

39 Employees

About the Company

Datatech is an Analytics Recruitment Agency for Data Science Jobs & Data Analytics Jobs.
Our team understands your specific skills and specialisms, career aspirations, and key values. We help realise your career goals and improve your work life. That’s why so many of our candidates end up being our clients.

Our consultants pride themselves on understanding not just your skills and specialisms as a candidate, but also your aspirations and key values to ensure that the recruitment solution we offer meets your life and work objectives. Datatech believe in working with you to plan and support your career journey meticulously - that’s why so many candidates end up being our clients as well!

Thinking laterally and resourcefully using our extensive industry knowledge, we focus on delivering a highly personalised recruitment service with quick yet effective results.

Whilst Analytics is our business, people are our passion…

Datatech have proven that our ethos of building informed and long-lasting relationships with both clients and candidates achieves mutually beneficial results.

Candidates - People registering with Datatech are often qualified to degree, M.Sc. or higher level in one or more of the following disciplines; Mathematics, Statistics, Economics, Operational Research, Management Science, Business Management, Computer Science.

Listed Jobs

Company background Company brand
Company Name
Datatech Analytics
Job Title
Credit Risk Analyst
Job Description
Credit Risk Analyst - Bristol
Bristol - Hybrid - once a week in the office
Salary £30,000 - £50,000 Dependent on Experience
Ref: J12887

Sponsorship not available

A fantastic opportunity has arisen for a driven and enthusiastic Credit Risk Analyst to work in an exciting and fast paced environment alongside a team of experienced modelling specialists!

The role is working in a well-established retail/commercial bank who focus on customer relationships; putting the customer first. You will have the opportunity to use and develop your analytical skills in many areas including model development, risk reporting, model implementation and related areas. The successful candidate will directly experience a variety of modern risk management topics including IRB, IFRS 9, automated credit decisioning, sophisticated technology platforms and more.

Responsibilities:
At least 2 years’ experience of building or validating models for IRB and/or IFRS9 and stress testing of banking regulations.
Support regular model insights
Support out of course analytical analysis and investigations

Skills Required:
IRB, IFRS9 and/or Decision-Making model development and/or validation
Advanced experience of SAS and SQL
Possess strong critical thinking and interpretation skills.
A self-starter with a passion for making a difference with great communication and influencing skills.
High energy and resilience with a focus on relationship management skills.
Shown & tested experience of data risk management

To find out more, please apply for this role.

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: www.datatech.org.uk
Bristol, United Kingdom
On site
10-02-2025
Company background Company brand
Company Name
Datatech Analytics
Job Title
Senior Azure Data Engineer
Job Description
Senior Azure Data Engineer

Remote Working - UK Home-based with occasional travel into the office

£39,784 - £49,477 (National Framework)
£45,456- £55,149 (London Framework - if you are London or homebased and live within the boundary of the M25)
Homeworking allowance of £581 per annum
Additional allowance for exceptional candidates - Max Salary - £62,000 outside London and £67,000 for London (within the M25)

Job Ref: J12917

The role of the Senior Azure Data Engineer is to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs.
The role holder will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering.

Accountabilities:

Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components and products.
Design, write and iterate code from prototype to production ready. Understand security, accessibility and version control. Use a range of coding tools and languages as required.
Work closely with colleagues across the Data & Insight Unit to effectively translate requirements into solutions, and accurately communicate across technical and non-technical stakeholders as well as facilitating discussions within a multidisciplinary team.
Deliver robust, supportable and sustainable data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future proof.
Understand the concepts and principles of data modelling and produce, maintain and update relevant physical data models for specific business needs, aligning to the enterprise data architecture standards.
Design and implement data solutions for the ingest, storage and use of sensitive data within the organisation, including designing and implementing row and field-level controls as needed to appropriately control, protect and audit such data.
Clearly, accurately and informatively document and annotate code, routines and other components to enable support, maintenance and future development.
Work with QA Engineers to execute testing where required, automating processes as much as possible.
Keep abreast of opportunities for innovation with new tools and uses of data.
Learn from what has worked as well as what has not, being open to change and improvement and working in ‘smarter’, more effective ways.
Work collaboratively, sharing information appropriately and building supportive, trusting and professional relationships with colleagues and a wide range of people within and outside of the organisation.
Provide oversight and assurance of suppliers and team members, coaching and mentoring colleagues to create a highly-performant and effective team.
Design and undertake appropriate quality control and assurance for delivery of output.
Provide direction and guidance to peers and junior colleagues, including line management and development of teams, where required.

Essential Skills and Experience:

Educated to degree level or have equivalent professional experience.
Experience translating business requirements into solution design and implementation.
Experience of MS Azure Databricks
Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL.
Experience following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking).
Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally.
Experience in other programming languages for data manipulation (e.g., Python, Scala).
Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies.
Understanding of the principles of data modelling and data flows with ability to apply this to design of data solutions.
Experience of supporting and enabling AI technologies.
Experience implementing data flows to connect operational systems, data for analytics and BI systems.
Experience documenting source-to-target mappings.
Experience in assessing and analysing technical issues or problems in order to identify and implement the appropriate solution.
Knowledge and experience of data security and data protection (e.g., GDPR) practices and application of these through technology.
Strong decision-making, leadership and mentoring skills
Ability to identify problems and lead the delivery of solutions and preventative measures, escalating where appropriate.
Proven ability to understand stakeholder needs, manage their expectations and influence at all levels on the use of data and insight.

Desirable
Knowledge and understanding of the health and care sectors.
Experience of using Power BI and creating reports/analysing data.

Additional Requirements:
Candidates must have an existing and future right to live and work in the UK. Sponsorship at any point is not available.


If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
London, United Kingdom
On site
24-02-2025
Company background Company brand
Company Name
Datatech Analytics
Job Title
Advanced Analytics & Reporting Analyst - 1 Year FTC - SQL
Job Description
Advanced Analytics & Reporting Analyst - 12 month FTC
Middlesex offices/Home - hybrid working 3 days pw in the office
Salary negotiable dep on experience £35,000 - 45,000
J12823

Fantastic opportunity for a graduate with 1 + years’ proven commercial application experience in an Analyst role to join a highly respected global company. This can either be post university, or a placement completed during studies.

Initially being offered on a 12 month fixed term contract however, opportunities to turn permanent may be possible. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have a strong enthusiasm for problem solving, attention to detail and a passion for data. You will be expected to provide analytical expertise, seek to identify data gaps and proactively develop the data agenda in line with business priorities as well as challenge business leaders to become truly data driven. A positive thinker with plenty of curiosity would be ideal for this role.

Duties
• Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs
• Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these
• Deliver robust and accurate data sets and visualisations within expected timescales
• Structure problems and design and develop numerical models to inform decisions
• Proactively consult and bring together multiple stakeholders and gain buy-in to ideas and approaches
• Provide deep insight for critical business questions using a variety of analytical tools e.g. SQL, Tableau, Python and Excel

Skills
• Proven advanced analytical skills
• Comfortable challenging and influencing senior management with conflicting views
• Creativity in recommending solutions and commitment to driving delivery
• Proven ability to lead the direction of analytical projects
• Excellent presentation and communication skills
• Strong business acumen and commercial awareness
• Proven technical skills including SQL, Excel and Python (or similar)
• Experience in design and creation of data visualisations and dashboards e.g. Tableau

Experience
• 1+ year in an Analyst role
• Analysing complex issues, packaging findings and presenting effectively to stakeholders
• Managing databases and/or blending data
• Designing data for management information purposes
• Visualising data and presenting trends and findings for broad audiences

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
London, United Kingdom
On site
25-02-2025
Company background Company brand
Company Name
Datatech Analytics
Job Title
Data Scientist - ML/Ops & Gen AI - Bristol/Kent
Job Description
Data Scientist - ML & AI projects - Bristol/ Tunbridge Wells - J12909
Competitive annual salary of between £50,000 and £65,000 dependent on experience
Hybrid working - Bristol or Tunbridge Wells office base (2 days a week currently, expected to increase to 3 days)

No Visa Sponsorship Available - All applicants must have full and indefinite right to work in the UK

Working with an exceptional employer, looking to recruit a highly skilled individual to join their dynamic and innovative Data Science team.

This role will give you the opportunity to leverage your expertise in data analysis and machine learning to drive actionable insights and contribute to the development of cutting-edge solutions that improve the health and well-being of their customers.

Working on some extremely exciting projects in the healthcare sector, using Generative AI and MLOps techniques to progress and develop your career in Data Science.

What you’ll be doing:
• Gather and clean large volumes of structured and unstructured data from various sources.
• Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models.
• Create visual representations of data to communicate insights and findings to non-technical stakeholders.
• Interpret data analysis results to provide actionable insights and recommendations for business decisions.
• Work closely with cross-functional teams to understand business needs, develop solutions, and implement data-driven strategies.
• Stay updated with the latest trends and advancements in data science, machine learning, and related technologies to improve methodologies and processes.
• Ensure compliance with data privacy regulations and ethical standards in handling sensitive information.

What you’ll bring:
• Previous applied experience within a data science role.
• Demonstratable knowledge of extracting business value from data science using both quantitative and qualitative metrics.
• Strong mathematical and statistical background.
• An ability to understand and translate data into actionable insights for the business.
• Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark.
• Good understanding of industry standard MLOps capabilities.
• Understanding of the financial industry, in particular insurance, would be advantageous.

If you’re excited about the prospect of using data to make a meaningful difference in people's lives, we want to hear from you!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
Bristol, United Kingdom
Hybrid
03-03-2025