14 of 14 Permanent Statistics Jobs in Lancashire

key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/ More ❯

and enforce data quality standards and validation rules. Document data models, metrics definitions, and reporting logic. What We're Looking For: Bachelor's degree in data Analytics, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data More ❯

will get to work with data sets drawn from a wide variety of internal and external sources; including operational, customer and environmental data. You will apply your knowledge of statistics to business challenges and work together with colleagues to ensure that the results of your work are well understood and put to good use. Using your data analysis skills, you More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

you We're looking for someone who is naturally curious, analytical, and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk More ❯

learning experiences.Desirable:- Experience in the education or ed-tech sector.- Understanding of learning science or instructional design principles.- Knowledge of GDPR and learner data ethics.- Degree in data science, statistics, or a related field. Career Progression This role offers several clear development paths within the organisation:- Move into Senior Analyst or Insight Manager positions within the Insight team.- Progress into More ❯

CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯

City Central Office Support for professional developtment Employee discount scheme Skills and Experience Proficient in Python and SQL , with experience working with large datasets Strong understanding of machine learning , statistics, and experimentation Experience with A/B testing , user behaviour analysis, or personalisation models Ability to communicate complex ideas to both technical and non-technical teams If you're a More ❯

geographically based teams to meet Service Management's requirements. Experience using an IT Service Management tool with an understanding of reporting modules. Proficiency in analysing problems using reports and statistics to identify trends and implement mitigating actions. Exposure to ITIL Service Management (or similar) processes and methodologies What makes you stand out: Strong critical incident and change management experience. Background More ❯

agreed performance targets and service levels. • Investigate all breaches of service level objectives, initiating remedial activities where possible. • Use application management software and tools to investigate issues, collect performance statistics and create reports. • Continuously suggest and contribute to the team's monitoring strategy to ensure IT teams are equipped with essential platform metrics, data, and alerts, enabling proactive identification and More ❯

new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as … team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience More ❯

support area, ensuring the ability to grow and scale the function in line with LIMA’s growth plans Support the Service Delivery Lead in ensuring that operational KPIs and statistics are within the agreed targets, and initiatives are identified to drive continual service improvement Manage incidents from customers and LIMA’s cloud environment on a priority basis and provide the More ❯

Snowflake Developer - Manchester | £70,000 + Benefits | Hybrid (3 Days On-Site) | Permanent Sector: Consulting | End Client: Leading Banking Group A leading consulting firm is hiring a Snowflake Developer to work on high-impact projects within the banking sector. You More ❯

is expected Manchester will move to 40% in . The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is the UK's largest producer of official statistics, covering a range of key economic, social, and demographic topics. These include measuring changes in the value of the UK … inflation, employment, earnings, crime and migration. Data Growth and Operations (DGO) provides the statistical infrastructure (in the broadest sense) and underpinning frameworks necessary to enable the Office for National Statistics (ONS), the Government Statistical Service (GSS) and the wider research community to make better use of data. DGO is structured into three divisions: Data Architecture, Location and Integration (DALI) ensure More ❯