6 Statistical Methods jobs in the United Kingdom
Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics
Posted today
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Job Description
Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics
Location: Full time office-based, The Strand, London
Reference: J12974
Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted.
Are you a numerically gifted graduate looking to kick-start a career in data analytics?
Are you naturally curious and enjoy asking the why?
We’re working with a respected client based in Central London, who is looking to grow their analytical team with a bright and motivated Graduate Data Analyst .
If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step.
About the Role
This is a full-time, office-based position with excellent transport links. As a Data Analyst, you’ll support two core areas:
- Quantification of financial claims
- Identification of legal cases through data analysis
You’ll be responsible for collecting, preparing, analysing, and presenting data, transforming raw information into clear, actionable insights.
Key Responsibilities
Validate and quality-check datasets received from clients and partners
- Prepare clear, annotated Excel reports with accurate analysis
- Make and justify assumptions when full datasets aren’t available
- Deliver comprehensive written reports, including methodologies and conclusions
- Present findings in well-structured, client-ready Word documents
What We’re Looking For
- A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics
- A relevant Master’s degree is a strong advantage
- Advanced Microsoft Excel skills (essential)
- Problem solving skills
- Experience managing large datasets using tools such as SAS, Stata, R, or Python
- Strong communication skills and attention to detail
- Comfortable working directly with clients and partners to obtain, validate, and interpret data
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:
Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics
Posted today
Job Viewed
Job Description
Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics
Location: Full time office-based, The Strand, London
Reference: J12974
Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted.
Are you a numerically gifted graduate looking to kick-start a career in data analytics?
Are you naturally curious and enjoy asking the why?
We’re working with a respected client based in Central London, who is looking to grow their analytical team with a bright and motivated Graduate Data Analyst .
If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step.
About the Role
This is a full-time, office-based position with excellent transport links. As a Data Analyst, you’ll support two core areas:
- Quantification of financial claims
- Identification of legal cases through data analysis
You’ll be responsible for collecting, preparing, analysing, and presenting data, transforming raw information into clear, actionable insights.
Key Responsibilities
Validate and quality-check datasets received from clients and partners
- Prepare clear, annotated Excel reports with accurate analysis
- Make and justify assumptions when full datasets aren’t available
- Deliver comprehensive written reports, including methodologies and conclusions
- Present findings in well-structured, client-ready Word documents
What We’re Looking For
- A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics
- A relevant Master’s degree is a strong advantage
- Advanced Microsoft Excel skills (essential)
- Problem solving skills
- Experience managing large datasets using tools such as SAS, Stata, R, or Python
- Strong communication skills and attention to detail
- Comfortable working directly with clients and partners to obtain, validate, and interpret data
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:
Technical Trainer (Data Analysis)
Posted today
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Job Description
DATA ANALYST TRAINER - (BOOTCAMPS&APPRENTICESHIPS) - £45,000 - FULLY REMOTE (MUST BE UK BASED)
SLS Recruitment are working with a leading IT & Digital Training provider and they have a new opportunity for a Data Analyst Trainer to work across their skills bootcamp and apprenticeship provision. This is a fully remote role and will offer a salary of up to £45,000. This opportunity would suit someone who has experience of delivering training in the technology below.
To be considered for this opportunity you will have the following:
- MUST HAVE DELIVERED TRAINING PREVIOUSLY
- MUST HAVE A TEACHING OR ASSESSING QUALIFICATION
- Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals.
- Experience of delivering training in Data Analysis a minimum of 1 year.
- A relevant qualification in Data Analysis, ideally at degree level.
As a Data Analyst Trainer you will work with Curriculum, IQA and Service Delivery Teams. You will adapt different ways of working and be able to establish individual learning needs and introduce new ways of working.
For further information on this opportunity to work with a provider who continues to grow, please apply now.
Data Analysis Engineer - SOX Algorithm
Posted 2 days ago
Job Viewed
Job Description
At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .
Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.
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DATA ENTRY AND ANALYSIS
Posted 3 days ago
Job Viewed
Job Description
The Administrative Support Officer provides essential support to ensure efficient office operations and assists various departments by managing administrative tasks, coordinating communication, and maintaining organizational systems. This role is vital in fostering a productive and organized work environment.
Key Responsibilities
- Manage day-to-day office activities including scheduling, correspondence, and filing.
- Handle incoming calls, emails, and visitor inquiries professionally and promptly.
- Prepare and process documents, reports, and presentations as required.
- Maintain office supplies inventory and coordinate procurement when necessary.
- Assist in organizing meetings, events, and travel arrangements.
- Support HR and finance departments with data entry and record-keeping tasks.
- Ensure office equipment is functioning and arrange for repairs when needed.
- Maintain accurate and confidential records and databases.
Qualifications & Skills
- High school diploma or equivalent; relevant certifications or diploma in office administration is an advantage.
- Proven experience in administrative or office support roles.
- Excellent organizational and multitasking skills.
- Strong communication and interpersonal abilities.
- Proficiency in Microsoft Office Suite (Word, Excel, Outlook).
- Ability to handle sensitive information with discretion.
- Detail-oriented with good problem-solving skills.
Company Details
Data Analyst (Energy Analysis) - Contract - 25319

Posted 13 days ago
Job Viewed
Job Description
Why YOU want this position?
Enverus is a leading provider of energy analytics, trading & risk, and business automation solutions. We deliver business-critical insights to the global energy industry through a state-of-the-art SaaS platform built on industry-leading data and energy analytics. Our solutions deliver value across the entire energy value chain, empowering customers to be more agile, efficient, and competitive. The range of energy industry participants we serve includes exploration and production (E&P) companies and related businesses such as oilfield services, midstream, capital markets, power generators and utilities, energy traders, and downstream commercial & industrial energy consumers.
We are currently seeking a Data Analyst for a temporary contract (6 month) to join our Global Intelligence Team based in the UK. The energy industry is undergoing a major repositioning, with more companies pursuing conventional oil and gas exploration and development as well as increasing investments in renewable energy. The ideal candidate should be a be self-starter with an inquisitive mind and interested in all areas of the energy industry. Enverus embraces a hybrid remote and in office employment model to balance flexibility and maintaining a constructive environment for collaboration, culture, and mentorship.
Performance Objectives
+ Primarily responsible for gathering, interpretation, QC and entry of information relating to the energy industry into our GIS database system and generation of our Global Intelligence product.
+ Assist our regional experts in gathering information to include current, planned and historic activity covering oil & gas licensing, seismic, drilling, field development, production and renewables.
+ Information processing, standardizing, QC and entry of energy data into a GIS database ensuring accurate, complete and timely population of content.
+ Product generation. Technical production of Enverus Global product suite ensuring consistent information is delivered to weekly and monthly deadlines including creation of regional activity maps and contribution to editorial content.
+ Promotion of Enverus Global products. Interfacing with clients and the industry to support the product suite and promote the company at industry events. Opportunities to travel/work internationally'
Competitive Candidate Profile
+ Intellectual Curiosity
+ Detail oriented
+ Team player
+ Strong Microsoft Office skills
+ Excellent organizational and problem-solving skills
+ Ability to work independently
+ Educated to degree level, preferably in an earth science
+ Excellent written and spoken English
+ Good IT skills - competent working in windows environment and using MS office suite.
+ Experienced working with MS Excel
+ Some experience of GIS software and understanding of relational databases with experience of working with data tables an advantage
+ Experience in upstream oil & gas industry desirable
+ Language skills would be an advantage
Enverus is proud to be an Equal Employment Opportunity and Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran, or any other characteristic protected by law.
The Company provides equal employment and affirmative action opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability
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