Privacy Notice



FRENCH TRANSLATION GERMAN TRANSLATION



Harnham Search and Selection 
Privacy Notice
1. General
1.1 Harnham Search and Selection Limited together with its group companies (“we”, “us” or “Harnham”) take the privacy of your information very seriously. This Privacy Notice is designed to tell you about our practices regarding the collection, use and disclosure of personal information which may be collected in person from you, obtained via our websites or collected through other means such as by an online form, email, or telephone communication.
1.2 This notice applies to personal information provided by our clients and suppliers about their employees and other individuals affiliated with them and also to candidates or prospective candidates (“Candidates”) whose data we process for proposed roles with our clients or prospective clients. Where a given role with our client is to be filled by a limited company or other corporate contractor we may process data relating to that company’s directors or shareholders and in this policy a “Candidate” may include directors and shareholders of corporate contractors. 
1.3 In this notice “you” refers to any individual whose personal data we hold or process (i.e: an individual candidate or potential candidate, an individual affiliated with a corporate contractor candidate, or an individual or employee associated or affiliated with our client or supplier.
1.4 In general, our services are related to the provision of recruitment services to clients and we do not process personal data on a large scale, but we will hold certain data in relation to Candidates and individuals affiliated with our clients and suppliers, and this notice sets out the basis on which we hold that data.
1.5 This notice is governed by the EU General Data Protection Regulation (the “GDPR”) from 25 May 2018.
2. Legal Basis on which we process personal data
2.1 Personal data we hold about you will be processed either because:
2.1.1 the processing is necessary in order for us to comply with our obligations under a contract between you and us, specifically for the provision of our services; or
2.1.2 the processing is necessary in pursuit of a “legitimate interest”, a legitimate interest in this context means a valid interest we have or a third party has in processing your personal data which is not overridden by your interests in data privacy and security
2.1.3 for certain ‘special categories’ of sensitive personal data including data relating to health and ethnic background which we may process from time to time we will process this data on the basis of your consent.

Harnham Search and Selection

Privacy Notice

1. General

1.1 Harnham Search and Selection Limited together with its group companies (“we”, “us” or “Harnham”) take the privacy of your information very seriously. This Privacy Notice is designed to tell you about our practices regarding the collection, use and disclosure of personal information which may be collected in person from you, obtained via our websites or collected through other means such as by an online form, email, or telephone communication.

1.2 This notice applies to personal information provided by our clients and suppliers about their employees and other individuals affiliated with them and also to candidates or prospective candidates (“Candidates”) whose data we process for proposed roles with our clients or prospective clients. Where a given role with our client is to be filled by a limited company or other corporate contractor we may process data relating to that company’s directors or shareholders and in this policy a “Candidate” may include directors and shareholders of corporate contractors.

1.3 In this notice “you” refers to any individual whose personal data we hold or process (i.e: an individual candidate or potential candidate, an individual affiliated with a corporate contractor candidate, or an individual or employee associated or affiliated with our client or supplier.

1.4 In general, our services are related to the provision of recruitment services to clients and we do not process personal data on a large scale, but we will hold certain data in relation to Candidates and individuals affiliated with our clients and suppliers, and this notice sets out the basis on which we hold that data.

1.5 This notice is governed by the EU General Data Protection Regulation (the “GDPR”) from 25 May 2018.

2. Legal Basis on which we process personal data

2.1 Personal data we hold about you will be processed either because:

2.1.1 the processing is necessary in order for us to comply with our obligations under a contract between you and us, specifically for the provision of our services; or

2.1.2 the processing is necessary in pursuit of a “legitimate interest”, a legitimate interest in this context means a valid interest we have or a third party has in processing your personal data which is not overridden by your interests in data privacy and security

2.1.3 for certain ‘special categories’ of sensitive personal data including data relating to health and ethnic background which we may process from time to time we will process this data on the basis of your consent.

3. Personal data we collect

3.1 We may collect and process the following personal data (information that can be uniquely identified with you) about you:

3.1.1 for individuals associated with our clients we may hold contact information such as names, email addresses, phone numbers, addresses, and job titles and/or specific roles within your organisation (“Client Contact Information”);

3.1.2 for individuals associated with our suppliers and other third parties we interact with we may hold contact information such as names, email addresses, phone numbers, addresses, and job titles and/or specific roles within your organisation (“Third Party Contact Information”);

3.1.3 for Candidates we may have personal information about you, your background, work history etc. This information may include name, address, telephone number, email address, CV, work history, educational qualifications (“Candidate Information”);

3.1.4 a record of any correspondence or communication between you and us (“Communication Information”);

3.1.5 marketing information we may hold about you in order to provide information about our services this may include names, email addresses, phone numbers, addresses, and job titles and/or specific roles within your organisation (“Marketing Information”).

3.2 We will collect information either from you directly or from a third party (for instance your employer or an introducer). If we do obtain your personal data from a third party your privacy rights under this notice are not affected and you are still able to exercise the rights contained within this notice.

3.3 Although you do not have to supply any personal information to us in practice we may be unable to provide our services to you without personal data (for instance we will need contact information in order to communicate with you). You may withdraw our authority to process your personal data (or request that we restrict our processing) at any time but there are circumstances in which we may need to continue to process personal data (please see below).

4. How we process your personal data 

4.1 Please see the table below, which sets out the manner in which we will process the different types of personal data we hold:

Purpose/Activity

Type of data

Lawful basis for processing including basis of legitimate interest

When we are setting up a retainer or engagement with a client or potential client with whom you are associated or entering into an agreement to provide services to our client.


Client Contact Information

Communication Information

Performance of a contract


Necessary for our legitimate interests (to establish necessary information about you in order to provide our services)


When we research, locate and record information relating to Candidates.


Candidate Information

Necessary for our legitimate interests (in order to deliver recruitment services to our clients in the interests of the clients and Candidates).


When we provide information relating to Candidates to our clients or potential clients.


Candidate Information

Necessary for our legitimate interests (in order to deliver our services to our clients in the interests of the clients and Candidates).


When we communicate with you as an individual affiliated with our client or potential client in order to provide our services to you.

Client Contact Information

Communication Information

 

Performance of a contract


Necessary for our legitimate interests (in order to deliver our services to our clients).


When we communicate with you as a Candidate or an individual associated with our Candidate in the context of a given role or type role.


Candidate Information

Communication Information

 

Performance of a contract


Necessary for our legitimate interests (in order to deliver our services to our clients in the interests of clients and Candidates).


When we store information relating to Candidates in order to put Candidates forward for potential roles in the future.


Candidate Information

Necessary for our legitimate interests (in order to deliver our services to our clients in the interests of the clients and  Candidates).


When we enter into an agreement with you or an organisation with which you are connected as a supplier.


Third Party Contact Information

Communication Information.

Performance of a contract with you


Necessary for our legitimate interests (in order to deliver our services).


When we communicate with you as an individual affiliated with our supplier or another third party we interact with.

Third Party Contact Information

Communication Information

 

Performance of a contract with you


Necessary for our legitimate interests (in order to deliver our services to our clients).


When we communicate with you as an individual affiliated with our client, potential client about our services (for instance if you request assistance).

Client Contact Information

Communication Information

 

Performance of a contract with you


Necessary for our legitimate interests (for running our business and to provide our clients with our services)


To manage our relationship with you as our client, supplier or third party.


 

Client Contact Information

Third Party Contact Information


Communication Information


 

Performance of a contract with you.


Necessary to comply with a legal obligation.


Necessary for our legitimate interests in ensuring that we maintain good relationships with our clients, suppliers and third parties.


To store your contact information for marketing purposes and sending marketing and other promotional communications to you.


Client Contact Information


Candidate Information


Marketing Information


 

Necessary for our legitimate interests in promoting our services to business customers or Clients, or consumers with consent or because the relevant individual has purchased similar services from us.


 

For each type of data listed above, definitions are included under clause 3.1.

5.1 Data Retention

Our current data retention policy is to delete or destroy (to the extent we are able to) the personal data we hold about you in accordance with the following:

Category of personal data

Length of retention

Records relevant for tax authorities

8 years from the end of the year to which the records relate

Candidate Data

The later of 7 years from placing a Candidate in a given role with our client, or in the case of contractors, 7 years from the end of the role with our client, or 7 years from the last date on which you have interacted with us.

Candidate Data where we have researched and located Candidate Data without direct interaction

1 year from date of data collection

Personal data processed in relation to a contract between you and us

7 years from either the end of the contract or the date you last used our services, being the length of time following a breach of contract in which you are entitled to make a legal claim.

Personal data held on marketing or business development records

3 years from the last date on which you have interacted with us.

 

5.2 For any category of personal data not specifically defined in this notice, and unless otherwise specified by applicable law, the required retention period for any personal data will be deemed to be 7 years from the date of receipt by us of that data.

5.3 The retention periods stated in this notice can be prolonged or shortened as may be required (for example, in the event that legal proceedings apply to the data or if there is an on-going investigation into the data).

5.4 We review the personal data (and the categories of personal data) we are holding on a regular basis to ensure the data we are holding is still relevant to our business and is accurate. If we discover that certain data we are holding is no longer necessary or accurate, we will take reasonable steps to correct or delete this data as may be required.

5.5 If you wish to request that data we hold about you is amended or deleted, please refer to clause 8 below, which explains your privacy rights.

6. Sharing your information

6.1 We do not disclose any information you provide to any third parties other than as follows:

6.1.1 We will disclose Candidate Data to our clients or potential clients and our clients will be the data controller for that Candidate Data;

6.1.2 We may disclose information to our group companies;

6.1.3 if we are under a duty to disclose or share your personal data in order to comply with any legal obligation (for example, if required to do so by a court order or for the purposes of prevention of fraud or other crime);

6.1.4 in order to enforce any terms and conditions or agreements for our services that may apply;

6.1.5 if we are sub-contracting services to a third party we may provide information to that third party in order to provide the relevant services;

6.1.6 we may transfer your personal information to a third party as part of a sale of some or all of our business and assets to any third party or as part of any business restructuring or reorganisation, but we will take steps with the aim of ensuring that your privacy rights continue to be protected;

6.1.7 to protect our rights, property and safety, or the rights, property and safety of our users or any other third parties. This includes exchanging information with other companies and organisations for the purposes of fraud protection and credit risk reduction.

6.2 Other than as set out above, we shall not disclose any of your personal information unless you give us permission to do so. If we do supply your personal information to a third party we will take steps to ensure that your privacy rights are protected and that third party complies with the terms of this notice.

7. Security

7.1 We will take all reasonable steps to ensure that appropriate technical and organisational measures are carried out in order to safeguard the information we collect from you and protect against unlawful access and accidental loss or damage. These measures may include (as necessary):

7.1.1 protecting our servers with software firewalls;

7.1.2 locating our data processing storage facilities in secure locations;

7.1.3 encrypting all data stored on our server with an industry standard encryption method that encrypts the data between your computer and our server so that in the event of your network being insecure no data is passed in a format that could easily be deciphered;

7.1.4 when necessary, disposing of or deleting your data so it is done so securely;

7.1.5 regularly backing up all data we hold.

7.2 We will ensure that our employees are aware of their privacy and data security obligations. We will take reasonable steps to ensure that the employees of third parties working on our behalf are aware of their privacy and data security obligations.

7.3 This notice and our procedures for handling personal data will be reviewed as necessary.

7.4 Unfortunately, the transmission of information via the internet is not completely secure. Although we will do our best to protect your personal data, we cannot guarantee the security of your data transmitted to the Site; any transmission is at your own risk. Once we have received your information, we will use the strict procedures and security features referred to in this clause to try to prevent unauthorised access.

8. Your privacy rights

8.1 The GDPR gives you the following rights in respect of personal data we hold about you:

The right to be informed

You have a right to know about our personal data protection and data processing activities, details of which are contained in this notice.

The right of access

You can make what is known as a Subject Access Request (“SAR”) to request information about the personal data we hold about you (free of charge, save for reasonable expenses for repeat requests). If you wish to make a SAR please contact us as described below.

The right to correction

Please inform us if information we hold about you is incomplete or inaccurate in any way and we will update our records as soon as possible, but in any event within one month.

We will take reasonable steps to communicate the change to any third parties to whom we have passed the same information.

The right to erasure (the ‘right to be forgotten’)

Please notify us if you no longer wish us to hold personal data about you (although in practice it is not possible to provide our services without holding your personal data and we may need to keep your data in some circumstances). Unless we have reasonable grounds to refuse the erasure, on receipt of such a request we will securely delete the personal data in question within one month. The data may continue to exist in certain backup, but we will take steps to ensure that it will not be accessible.

We will communicate the erasure to any third parties to whom we have passed the same information.

The right to restrict processing

You can request that we no longer process your personal data in certain ways, whilst not requiring us to delete the same data. However again, some of our Services will not be available if processing is restricted.

The right to data portability

You have right to receive copies of personal data we hold about you in a commonly used and easily storable format (please let us know a format which suits you). You may also request that we transfer your personal data directly to a third party (where technically possible).

The right to object

Unless we have overriding legitimate grounds for such processing, you may object to us using your personal data for direct marketing purposes (including profiling) or for research or statistical purposes. Please notify your objection to us and we will gladly cease such processing.

Rights with respect to automated decision-making and profiling

You have a right not to be subject to automated decision-making (including profiling) when those decisions have a legal (or similarly significant effect) on you. You are not entitled to this right when the automated processing is necessary for us to perform our obligations under a contract with you, it is permitted by law, or if you have given your explicit consent.

Right to withdraw consent

If we are relying on your consent as the basis on which we are processing your personal data, you have the right to withdraw your consent at any time. Even if you have not expressly given your consent to our processing, you also have the right to object (see above).

 

8.2 All SARs and other requests or notifications in respect of your above rights must be sent to us in writing to Harnham Search and Selection Limited 3rd Floor, Melbury House, 51 Wimbledon Hill Road, Wimbledon SW19 7QW, dataprotection@harnham.com

8.3 We will endeavour to comply with such requests as soon as possible but in any event we will comply within one month of receipt (unless a longer period of time to respond is reasonable by virtue of the complexity or number of your requests).

9. Data Breaches

9.1 If personal data we hold about you is subject to a breach or unauthorised disclosure or access, we will report this to the Information Commissioner’s Office (ICO) and/or our data protection manager.

9.2 If a breach is likely to result in a risk to your data rights and freedoms, we will notify you as soon as possible.

10. Transferring your information outside Europe

10.1 As part of the services provided to our clients offered to you the information you provide to us may be transferred to, processed and stored at, countries or international organisations outside of the EEA.

10.2 Our client may be based outside of the EEA and we may transfer personal data to our client outside of the EEA. For instance we may transfer Candidate Information to our client outside of the EEA where this is necessary to perform a contract between us and the client and this is in the interests of the Candidate.

10.3 Data may be processed by our group companies based outside of the EEA, but we will ensure that any data accessible by our group companies will be subject to a data transfer agreement or binding corporate rules to maintain your rights as a data subject.

10.4 If you contact us while you are outside the EEA, your information may be transferred outside the EEA in order to communicate with you.

10.5 If we transfer your information outside of the EEA other than in accordance with this clause and the third country or international organisation in question has not been deemed by the EU Commission to have adequate data protection laws, we will provide appropriate safeguards and we will be responsible for ensuring your privacy rights continue to be protected as outlined in this notice.

11. Notification of changes to the contents of this notice

We will post details of any changes to our policy on www.harnham.com to help ensure you are always aware of the information we collect, how we use it, and in what circumstances, if any, we share it with other parties.

12. Contact us

If at any time you would like to contact us with your views about our privacy practices, or with any enquiry or complaint relating to your personal information or how it is handled, you can do so via the following address: Harnham Search and Selection Limited, 3rd Floor, Melbury House, 51 Wimbledon Hill Road, Wimbledon SW19 7QW, dataprotection@harnham.com

If we are unable to resolve any issues you may have or you would like to make a further complaint, you can contact the Information Commissioner’s Office by visiting http://www.ico.org.uk/ for further assistance.


Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Dave Farmer Appointed New Harnham CEO

I am pleased to announce that Harnham have named David Farmer as our new CEO.  David has been with Harnham since its inception in 2006 and has most recently being serving as COO. With the new appointment, I will be moving into the position of Executive Chairman.  On the move, David says: “I am thrilled to move into this new position at such an exciting time for the company. Having been with the business since the start, I am well aware of Harnham’s potential, particularly as the Data & Analytics market continues to thrive. We have an extraordinary team of home-grown talent at Harnham and I am eager to see where we can take the business next.”   David understands Harnham better than anyone and has dedicated an incredible amount of time and effort towards the success of the business. I cannot think of anyone better to lead us through the next stage of our growth.  This comes at an exciting time for Harnham with Partners Mark Bremer and Sam Jones stepping up to lead the London and New York offices, respectively. Additionally, long-term team members Ross Henderson and Talitha Boitel-Gill have been named Associate Directors and will oversee the growth of various teams within the UK business.  The global leader in Data & Analytics recruitment, Harnham now comprises of 160 people across four offices globally. 

Harnham Launch 2020 Data & Analytics Salary Survey

Harnham Launch 2020 Data & Analytics Salary Survey

I'm excited to announce the launch of our 9th annual Salary Survey.  Covering salaries, diversity, benefits and technologies, our published Salary Guide is known for reflecting and driving trends within the Data & Analytics industry. As ever, we can't put together our guide without your input, so we are extremely grateful to everyone who is able to take part.  This year, one participant will win a £500 Amazon Voucher (or an equivalent amount in your local currency). You can read all the terms and conditions for this here.  The survey takes around 10 minutes and we would love to hear your thoughts. All submissions are 100% confidential and will only be used to provide an overview of the industry as a whole.  You can choose the survey relevant to you below: UK Survey US Survey EU/EEA Survey In the meantime, you can download a copy of last year's completed Salary Guide here.  We look forward to sharing our latest results with you later in the year. 

Data Science Interview Questions: What The Experts Say

Our friends at Data Science Dojo have compiled a list of 101 actual Data Science interview questions that have been asked between 2016-2019 at some of the largest recruiters in the Data Science industry – Amazon, Microsoft, Facebook, Google, Netflix, Expedia, etc.  Data Science is an interdisciplinary field and sits at the intersection of computer science, statistics/mathematics, and domain knowledge. To be able to perform well, one needs to have a good foundation in not one but multiple fields, and it reflects in the interview. They've divided the questions into six categories:  Machine LearningData AnalysisStatistics, Probability, and MathematicsProgrammingSQLExperiential/Behavioural Questions Once you've gone through all the questions, you should have a good understanding of how well you're prepared for your next Data Science interview. Machine Learning As one will expect, Data Science interviews focus heavily on questions that help the company test your concepts, applications, and experience on machine learning. Each question included in this category has been recently asked in one or more actual Data Science interviews at companies such as Amazon, Google, Microsoft, etc. These questions will give you a good sense of what sub-topics appear more often than others. You should also pay close attention to the way these questions are phrased in an interview.  Explain Logistic Regression and its assumptions.Explain Linear Regression and its assumptions.How do you split your data between training and validation?Describe Binary Classification.Explain the working of decision trees.What are different metrics to classify a dataset?What's the role of a cost function?What's the difference between convex and non-convex cost function?Why is it important to know bias-variance trade off while modeling?Why is regularisation used in machine learning models? What are the differences between L1 and L2 regularisation?What's the problem of exploding gradients in machine learning?Is it necessary to use activation functions in neural networks?In what aspects is a box plot different from a histogram?What is cross validation? Why is it used?Can you explain the concept of false positive and false negative?Explain how SVM works.While working at Facebook, you're asked to implement some new features. What type of experiment would you run to implement these features?What techniques can be used to evaluate a Machine Learning model?Why is overfitting a problem in machine learning models? What steps can you take to avoid it?Describe a way to detect anomalies in a given dataset.What are the Naive Bayes fundamentals?What is AUC - ROC Curve?What is K-means?How does the Gradient Boosting algorithm work?Explain advantages and drawbacks of Support Vector Machines (SVM).What is the difference between bagging and boosting?Before building any model, why do we need the feature selection/engineering step?How to deal with unbalanced binary classification?What is the ROC curve and the meaning of sensitivity, specificity, confusion matrix?Why is dimensionality reduction important?What are hyperparameters, how to tune them, how to test and know if they worked for the particular problem?How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession, and gender? Define a machine learning algorithm for this.How will you inspect missing data and when are they important for your analysis?How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?What are time series forecasting techniques?How does a logistic regression model know what the coefficients are?Explain Principle Component Analysis (PCA) and it's assumptions.Formulate Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) techniques.What are neural networks used for?40. Why is gradient checking important?Is random weight assignment better than assigning same weights to the units in the hidden layer?How to find the F1 score after a model is trained?How many topic modeling techniques do you know of? Explain them briefly.How does a neural network with one layer and one input and output compare to a logistic regression?Why Rectified Linear Unit/ReLU is a good activation function?When using the Gaussian mixture model, how do you know it's applicable?If a Product Manager says that they want to double the number of ads in Facebook's Newsfeed, how would you figure out if this is a good idea or not?What do you know about LSTM?Explain the difference between generative and discriminative algorithms.Can you explain what MapReduce is and how it works? If the model isn't perfect, how would you like to select the threshold so that the model outputs 1 or 0 for label?Are boosting algorithms better than decision trees? If yes, why?What do you think are the important factors in the algorithm Uber uses to assign rides to drivers?How does speech synthesis works? Data Analysis Machine Learning concepts are not the only area in which you'll be tested in the interview. Data pre-processing and data exploration are other areas where you can always expect a few questions. We're grouping all such questions under this category. Data Analysis is the process of evaluating data using analytical and statistical tools to discover useful insights. Once again, all these questions have been recently asked in one or more actual Data Science interviews at the companies listed above.   What are the core steps of the data analysis process?How do you detect if a new observation is an outlier?Facebook wants to analyse why the "likes per user and minutes spent on a platform are increasing, but total number of users are decreasing". How can they do that?If you have a chance to add something to Facebook then how would you measure its success?If you are working at Facebook and you want to detect bogus/fake accounts. How will you go about that?What are anomaly detection methods?How do you solve for multicollinearity?How to optimise marketing spend between various marketing channels?What metrics would you use to track whether Uber's strategy of using paid advertising to acquire customers works?What are the core steps for data preprocessing before applying machine learning algorithms?How do you inspect missing data?How does caching work and how do you use it in Data Science? Statistics, Probability and Mathematics As we've already mentioned, Data Science builds its foundation on statistics and probability concepts. Having a strong foundation in statistics and probability concepts is a requirement for Data Science, and these topics are always brought up in data science interviews. Here is a list of statistics and probability questions that have been asked in actual Data Science interviews. How would you select a representative sample of search queries from 5 million queries?Discuss how to randomly select a sample from a product user population.What is the importance of Markov Chains in Data Science?How do you prove that males are on average taller than females by knowing just gender or height.What is the difference between Maximum Likelihood Estimation (MLE) and Maximum A Posteriori (MAP)?What does P-Value mean?Define Central Limit Theorem (CLT) and it's application?There are six marbles in a bag, one is white. You reach in the bag 100 times. After drawing a marble, it is placed back in the bag. What is the probability of drawing the white marble at least once?Explain Euclidean distance.Define variance.How will you cut a circular cake into eight equal pieces?What is the law of large numbers?How do you weigh nine marbles three times on a balance scale to select the heaviest one?You call three random friends who live in Seattle and ask each independently if it's raining. Each of your friends has a 2/3 chance of telling you the truth and a 1/3 chance of lying. All three say "yes". What's the probability it's actually raining? Explain a probability distribution that is not normal and how to apply that?You have two dice. What is the probability of getting at least one four? Also find out the probability of getting at least one four if you have n dice.Draw the curve log(x+10) Programming When you appear for a data science interview your interviewers are not expecting you to come up with a highly efficient code that takes the lowest resources on computer hardware and executes it quickly. However, they do expect you to be able to use R, Python, or SQL programming languages so that you can access the data sources and at least build prototypes for solutions. You should expect a few programming/coding questions in your data science interviews. You interviewer might want you to write a short piece of code on a whiteboard to assess how comfortable you are with coding, as well as get a feel for how many lines of codes you typically write in a given week.  Here are some programming and coding questions that companies like Amazon, Google, and Microsoft have asked in their Data Science interviews.  Write a function to check whether a particular word is a palindrome or not.Write a program to generate Fibonacci sequence.Explain about string parsing in R languageWrite a sorting algorithm for a numerical dataset in Python.Coding test: moving average Input 10, 20, 30, 10, ... Output: 10, 15, 20, 17.5, ...Write a Python code to return the count of words in a stringHow do you find percentile? Write the code for itWhat is the difference between - (i) Stack and Queue and (ii) Linked list and Array? Structured Query Language (SQL) Real-world data is stored in databases and it ‘travels’ via queries. If there's one language a Data Science professional must know, it's SQL - or “Structured Query Language”. SQL is widely used across all job roles in Data Science and is often a ‘deal-breaker’. SQL questions are placed early on in the hiring process and used for screening. Here are some SQL questions that top companies have asked in their Data Science interviews.  How would you handle NULLs when querying a data set?How will you explain JOIN function in SQL in the simplest possible way?Select all customers who purchased at least two items on two separate days from Amazon.What is the difference between DDL, DML, and DCL?96. Why is Database Normalisation Important?What is the difference between clustered and non-clustered index? Situational/Behavioural Questions Capabilities don’t necessarily guarantee performance. It's for this reason employers ask you situational or behavioural questions in order to assess how you would perform in a given situation. In some cases, a situational or behavioural question would force you to reflect on how you behaved and performed in a past situation. A situational question can help interviewers in assessing your role in a project you might have included in your resume, can reveal whether or not you're a team player, or how you deal with pressure and failure. Situational questions are no less important than any of the technical questions, and it will always help to do some homework beforehand. Recall your experience and be prepared!  Here are some situational/behavioural questions that large tech companies typically ask:    What was the most challenging project you have worked on so far? Can you explain your learning outcomes?According to your judgement, does Data Science differ from Machine Learning?If you're faced with Selection Bias, how will you avoid it?How would you describe Data Science to a Business Executive? If you're looking for new Data Science role, you can find our latest opportunities here.  This article was written by Tooba Mukhtar and Rahim Rasool for Data Science Jojo. It has been republished with permission. You can view the original article, which includes answers to the above questions here. 

The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

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